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This collection of MIT Theses in DSpace contains selected theses and dissertations from all MIT departments. Please note that this is NOT a complete collection of MIT theses. To search all MIT theses, use MIT Libraries' catalog .

MIT's DSpace contains more than 58,000 theses completed at MIT dating as far back as the mid 1800's. Theses in this collection have been scanned by the MIT Libraries or submitted in electronic format by thesis authors. Since 2004 all new Masters and Ph.D. theses are scanned and added to this collection after degrees are awarded.

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Digital Commons @ USF > College of Engineering > Computer Science and Engineering > Theses and Dissertations

Computer Science and Engineering Theses and Dissertations

Theses/dissertations from 2024 2024.

Automatic Image-Based Nutritional Calculator App , Kejvi Cupa

Individual Behavioral Modeling Across Games of Strategy , Logan Fields

Semi-automated Cell Annotation Framework Using Deep Learning , Abhiram Kandiyana

Predicting Gender of Author Using Large Language Models (LLMs) , Satya Uday Sanku

Context-aware Affective Behavior Modeling and Analytics , Md Taufeeq Uddin

Exploring the Use of Enhanced SWAD Towards Building Learned Models that Generalize Better to Unseen Sources , Brandon M. Weinhofer

Theses/Dissertations from 2023 2023

Refining the Machine Learning Pipeline for US-based Public Transit Systems , Jennifer Adorno

Insect Classification and Explainability from Image Data via Deep Learning Techniques , Tanvir Hossain Bhuiyan

V2V and V2I Based Safety and Platooning Algorithms for Connected and Autonomous Vehicles , Omkar Dokur

Brain-Inspired Spatio-Temporal Learning with Application to Robotics , Thiago André Ferreira Medeiros

Exploring Scalability of Multimodal User Interface Design in Virtual and Augmented Reality , Sarah M. Garcia

Evaluating Methods for Improving DNN Robustness Against Adversarial Attacks , Laureano Griffin

Analyzing Multi-Robot Leader-Follower Formations in Obstacle-Laden Environments , Zachary J. Hinnen

Secure Lightweight Cryptographic Hardware Constructions for Deeply Embedded Systems , Jasmin Kaur

A Psychometric Analysis of Natural Language Inference Using Transformer Language Models , Antonio Laverghetta Jr.

Graph Analysis on Social Networks , Shen Lu

Deep Learning-based Automatic Stereology for High- and Low-magnification Images , Hunter Morera

Deciphering Trends and Tactics: Data-driven Techniques for Forecasting Information Spread and Detecting Coordinated Campaigns in Social Media , Kin Wai Ng Lugo

Secure Reconfigurable Computing Paradigms for the Next Generation of Artificial Intelligence and Machine Learning Applications , Brooks Olney

Automated Approaches to Enable Innovative Civic Applications from Citizen Generated Imagery , Hye Seon Yi

Theses/Dissertations from 2022 2022

Towards High Performing and Reliable Deep Convolutional Neural Network Models for Typically Limited Medical Imaging Datasets , Kaoutar Ben Ahmed

Task Progress Assessment and Monitoring Using Self-Supervised Learning , Sainath Reddy Bobbala

Towards More Task-Generalized and Explainable AI Through Psychometrics , Alec Braynen

An Internet of Medical Things (IoMT) Approach for Remote Assessment of Head and Neck Cancer Patients , Ruchitha Chinthala

A Multiple Input Multiple Output Framework for the Automatic Optical Fractionator-based Cell Counting in Z-Stacks Using Deep Learning , Palak Dave

On the Reliability of Wearable Sensors for Assessing Movement Disorder-Related Gait Quality and Imbalance: A Case Study of Multiple Sclerosis , Steven Díaz Hernández

Securing Critical Cyber Infrastructures and Functionalities via Machine Learning Empowered Strategies , Tao Hou

Developing Reinforcement Learning Algorithms for Robots to Aim and Pour Solid Objects , Haoxuan Li

Computing Group-By and Aggregate in Massively Parallel Systems , Chengcheng Mou

Social Media Time Series Forecasting and User-Level Activity Prediction with Gradient Boosting, Deep Learning, and Data Augmentation , Fred Mubang

A Study of Deep Learning Silhouette Extractors for Gait Recognition , Sneha Oladhri

Analyzing Decision-making in Robot Soccer for Attacking Behaviors , Justin Rodney

Generative Spatio-Temporal and Multimodal Analysis of Neonatal Pain , Md Sirajus Salekin

Secure Hardware Constructions for Fault Detection of Lattice-based Post-quantum Cryptosystems , Ausmita Sarker

Adaptive Multi-scale Place Cell Representations and Replay for Spatial Navigation and Learning in Autonomous Robots , Pablo Scleidorovich

Predicting the Number of Objects in a Robotic Grasp , Utkarsh Tamrakar

Humanoid Robot Motion Control for Ramps and Stairs , Tommy Truong

Preventing Variadic Function Attacks Through Argument Width Counting , Brennan Ward

Exploration of Energy Efficient Computing for Data-Intensive Applications , Md Adnan Zaman

Theses/Dissertations from 2021 2021

Knowledge Extraction and Inference Based on Visual Understanding of Cooking Contents , Ahmad Babaeian Babaeian Jelodar

Efficient Post-Quantum and Compact Cryptographic Constructions for the Internet of Things , Rouzbeh Behnia

Efficient Hardware Constructions for Error Detection of Post-Quantum Cryptographic Schemes , Alvaro Cintas Canto

Using Hyper-Dimensional Spanning Trees to Improve Structure Preservation During Dimensionality Reduction , Curtis Thomas Davis

Design, Deployment, and Validation of Computer Vision Techniques for Societal Scale Applications , Arup Kanti Dey

AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing , Hamza Elhamdadi

Automatic Detection of Vehicles in Satellite Images for Economic Monitoring , Cole Hill

Analysis of Contextual Emotions Using Multimodal Data , Saurabh Hinduja

Data-driven Studies on Social Networks: Privacy and Simulation , Yasanka Sameera Horawalavithana

Automated Identification of Stages in Gonotrophic Cycle of Mosquitoes Using Computer Vision Techniques , Sherzod Kariev

Exploring the Use of Neural Transformers for Psycholinguistics , Antonio Laverghetta Jr.

Secure VLSI Hardware Design Against Intellectual Property (IP) Theft and Cryptographic Vulnerabilities , Matthew Dean Lewandowski

Turkic Interlingua: A Case Study of Machine Translation in Low-resource Languages , Jamshidbek Mirzakhalov

Automated Wound Segmentation and Dimension Measurement Using RGB-D Image , Chih-Yun Pai

Constructing Frameworks for Task-Optimized Visualizations , Ghulam Jilani Abdul Rahim Quadri

Trilateration-Based Localization in Known Environments with Object Detection , Valeria M. Salas Pacheco

Recognizing Patterns from Vital Signs Using Spectrograms , Sidharth Srivatsav Sribhashyam

Recognizing Emotion in the Wild Using Multimodal Data , Shivam Srivastava

A Modular Framework for Multi-Rotor Unmanned Aerial Vehicles for Military Operations , Dante Tezza

Human-centered Cybersecurity Research — Anthropological Findings from Two Longitudinal Studies , Anwesh Tuladhar

Learning State-Dependent Sensor Measurement Models To Improve Robot Localization Accuracy , Troi André Williams

Human-centric Cybersecurity Research: From Trapping the Bad Guys to Helping the Good Ones , Armin Ziaie Tabari

Theses/Dissertations from 2020 2020

Classifying Emotions with EEG and Peripheral Physiological Data Using 1D Convolutional Long Short-Term Memory Neural Network , Rupal Agarwal

Keyless Anti-Jamming Communication via Randomized DSSS , Ahmad Alagil

Active Deep Learning Method to Automate Unbiased Stereology Cell Counting , Saeed Alahmari

Composition of Atomic-Obligation Security Policies , Yan Cao Albright

Action Recognition Using the Motion Taxonomy , Maxat Alibayev

Sentiment Analysis in Peer Review , Zachariah J. Beasley

Spatial Heterogeneity Utilization in CT Images for Lung Nodule Classication , Dmitrii Cherezov

Feature Selection Via Random Subsets Of Uncorrelated Features , Long Kim Dang

Unifying Security Policy Enforcement: Theory and Practice , Shamaria Engram

PsiDB: A Framework for Batched Query Processing and Optimization , Mehrad Eslami

Composition of Atomic-Obligation Security Policies , Danielle Ferguson

Algorithms To Profile Driver Behavior From Zero-permission Embedded Sensors , Bharti Goel

The Efficiency and Accuracy of YOLO for Neonate Face Detection in the Clinical Setting , Jacqueline Hausmann

Beyond the Hype: Challenges of Neural Networks as Applied to Social Networks , Anthony Hernandez

Privacy-Preserving and Functional Information Systems , Thang Hoang

Managing Off-Grid Power Use for Solar Fueled Residences with Smart Appliances, Prices-to-Devices and IoT , Donnelle L. January

Novel Bit-Sliced In-Memory Computing Based VLSI Architecture for Fast Sobel Edge Detection in IoT Edge Devices , Rajeev Joshi

Edge Computing for Deep Learning-Based Distributed Real-time Object Detection on IoT Constrained Platforms at Low Frame Rate , Lakshmikavya Kalyanam

Establishing Topological Data Analysis: A Comparison of Visualization Techniques , Tanmay J. Kotha

Machine Learning for the Internet of Things: Applications, Implementation, and Security , Vishalini Laguduva Ramnath

System Support of Concurrent Database Query Processing on a GPU , Hao Li

Deep Learning Predictive Modeling with Data Challenges (Small, Big, or Imbalanced) , Renhao Liu

Countermeasures Against Various Network Attacks Using Machine Learning Methods , Yi Li

Towards Safe Power Oversubscription and Energy Efficiency of Data Centers , Sulav Malla

Design of Support Measures for Counting Frequent Patterns in Graphs , Jinghan Meng

Automating the Classification of Mosquito Specimens Using Image Processing Techniques , Mona Minakshi

Models of Secure Software Enforcement and Development , Hernan M. Palombo

Functional Object-Oriented Network: A Knowledge Representation for Service Robotics , David Andrés Paulius Ramos

Lung Nodule Malignancy Prediction from Computed Tomography Images Using Deep Learning , Rahul Paul

Algorithms and Framework for Computing 2-body Statistics on Graphics Processing Units , Napath Pitaksirianan

Efficient Viewshed Computation Algorithms On GPUs and CPUs , Faisal F. Qarah

Relational Joins on GPUs for In-Memory Database Query Processing , Ran Rui

Micro-architectural Countermeasures for Control Flow and Misspeculation Based Software Attacks , Love Kumar Sah

Efficient Forward-Secure and Compact Signatures for the Internet of Things (IoT) , Efe Ulas Akay Seyitoglu

Detecting Symptoms of Chronic Obstructive Pulmonary Disease and Congestive Heart Failure via Cough and Wheezing Sounds Using Smart-Phones and Machine Learning , Anthony Windmon

Toward Culturally Relevant Emotion Detection Using Physiological Signals , Khadija Zanna

Theses/Dissertations from 2019 2019

Beyond Labels and Captions: Contextualizing Grounded Semantics for Explainable Visual Interpretation , Sathyanarayanan Narasimhan Aakur

Empirical Analysis of a Cybersecurity Scoring System , Jaleel Ahmed

Phenomena of Social Dynamics in Online Games , Essa Alhazmi

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Home > Engineering > Computer Science > Computer Science Graduate Projects

Computer Science Graduate Projects and Theses

Theses/dissertations from 2023 2023.

High-Performance Domain-Specific Library for Hydrologic Data Processing , Kalyan Bhetwal

Evaluating Learning Geometric Concepts to Generate Predicate Abstract Domains in Static Program Analysis , Patrick Chadbourne

Verifying Data Provenance During Workflow Execution for Scientific Reproducibility , Rizbanul Hasan

Remote Sensing to Advance Understanding of Snow-Vegetation Relationships and Quantify Snow Depth and Snow Water Equivalent , Ahmad Hojatimalekshah

Exploring the Capability of a Self-Supervised Conditional Image Generator for Image-to-Image Translation without Labeled Data: A Case Study in Mobile User Interface Design , Hailee Kiesecker

Fake News Detection Using Narrative Content and Discourse , Hongmin Kim

Anomaly Detection Using Graph Neural Network , Bishal Lakha

Robust Digital Nucleic Acid Memory , Golam Md Mortuza

Risk Assessment and Solutions for Two Domains: Election Procedures and Privacy Disclosure Prevention for Users , Kamryn DeAnn Parker

Sparse Format Conversion and Code Synthesis , Tobi Goodness Popoola

Fair Layouts in Information Access Systems: Provider-Side Group Fairness in Ranking Beyond Ranked Lists , Amifa Raj

Virtual Curtain: A Communicative Fine-Grained Privacy Control Framework for Augmented Reality , Aakash Shrestha

Portable Sparse Polyhedral Framework Code Generation Using Multi Level Intermediate Representation , Aaron St. George

Transformer Reinforcement Learning Approach to Attack Automatic Fake News Detectors , Chandler Underwood

Severity Measures for Assessing Error in Automatic Speech Recognition , Ryan Whetten

Theses/Dissertations from 2022 2022

Improved Computational Prediction of Function and Structural Representation of Self-Cleaving Ribozymes with Enhanced Parameter Selection and Library Design , James D. Beck

Meshfree Methods for PDEs on Surfaces , Andrew Michael Jones

Deep Learning of Microstructures , Amir Abbas Kazemzadeh Farizhandi

Long-Term Trends in Extreme Environmental Events with Changepoint Detection , Mintaek Lee

Structure Aware Smart Encoding and Decoding of Information in DNA , Shoshanna Llewellyn

Towards Making Transformer-Based Language Models Learn How Children Learn , Yousra Mahdy

Ontology-Based Formal Approach for Safety and Security Verification of Industrial Control Systems , Ramesh Neupane

Improving Children's Authentication Practices with Respect to Graphical Authentication Mechanism , Dhanush Kumar Ratakonda

Hate Speech Detection Using Textual and User Features , Rohan Raut

Automated Detection of Sockpuppet Accounts in Wikipedia , Mostofa Najmus Sakib

Characterization and Mitigation of False Information on the Web , Anu Shrestha

Sinusoidal Projection for 360° Image Compression and Triangular Discrete Cosine Transform Impact in the JPEG Pipeline , Iker Vazquez Lopez

Theses/Dissertations from 2021 2021

Training Wheels for Web Search: Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom , Garrett Allen

Fair and Efficient Consensus Protocols for Secure Blockchain Applications , Golam Dastoger Bashar

Why Don't You Act Your Age?: Recognizing the Stereotypical 8-12 Year Old Searcher by Their Search Behavior , Michael Green

Ensuring Consistency and Efficiency of the Incremental Unit Network in a Distributed Architecture , Mir Tahsin Imtiaz

Modeling Real and Fake News Sharing in Social Networks , Abishai Joy

Modeling and Analyzing Users' Privacy Disclosure Behavior to Generate Personalized Privacy Policies , A.K.M. Nuhil Mehdy

Into the Unknown: Exploration of Search Engines' Responses to Users with Depression and Anxiety , Ashlee Milton

Generating Test Inputs from String Constraints with an Automata-Based Solver , Marlin Roberts

A Case Study in Representing Scientific Applications ( GeoAc ) Using the Sparse Polyhedral Framework , Ravi Shankar

Actors for the Internet of Things , Arjun Shukla

Theses/Dissertations from 2020 2020

Towards Unifying Grounded and Distributional Semantics Using the Words-as-Classifiers Model of Lexical Semantics , Stacy Black

Improving Scientist Productivity, Architecture Portability, and Performance in ParFlow , Michael Burke

Polyhedral+Dataflow Graphs , Eddie C. Davis

Improving Spellchecking for Children: Correction and Design , Brody Downs

A Collection of Fast Algorithms for Scalar and Vector-Valued Data on Irregular Domains: Spherical Harmonic Analysis, Divergence-Free/Curl-Free Radial Basis Functions, and Implicit Surface Reconstruction , Kathryn Primrose Drake

Privacy-Preserving Protocol for Atomic Swap Between Blockchains , Kiran Gurung

Unsupervised Structural Graph Node Representation Learning , Mikel Joaristi

Detecting Undisclosed Paid Editing in Wikipedia , Nikesh Joshi

Do You Feel Me?: Learning Language from Humans with Robot Emotional Displays , David McNeill

Obtaining Real-World Benchmark Programs from Open-Source Repositories Through Abstract-Semantics Preserving Transformations , Maria Anne Rachel Paquin

Content Based Image Retrieval (CBIR) for Brand Logos , Enjal Parajuli

A Resilience Metric for Modern Power Distribution Systems , Tyler Bennett Phillips

Theses/Dissertations from 2019 2019

Edge-Assisted Workload-Aware Image Processing System , Anil Acharya

MINOS: Unsupervised Netflow-Based Detection of Infected and Attacked Hosts, and Attack Time in Large Networks , Mousume Bhowmick

Deviant: A Mutation Testing Tool for Solidity Smart Contracts , Patrick Chapman

Querying Over Encrypted Databases in a Cloud Environment , Jake Douglas

A Hybrid Model to Detect Fake News , Indhumathi Gurunathan

Suitability of Finite State Automata to Model String Constraints in Probablistic Symbolic Execution , Andrew Harris

UNICORN Framework: A User-Centric Approach Toward Formal Verification of Privacy Norms , Rezvan Joshaghani

Detection and Countermeasure of Saturation Attacks in Software-Defined Networks , Samer Yousef Khamaiseh

Secure Two-Party Protocol for Privacy-Preserving Classification via Differential Privacy , Manish Kumar

Application-Specific Memory Subsystem Benchmarking , Mahesh Lakshminarasimhan

Multilingual Information Retrieval: A Representation Building Perspective , Ion Madrazo

Improved Study of Side-Channel Attacks Using Recurrent Neural Networks , Muhammad Abu Naser Rony Chowdhury

Investigating the Effects of Social and Temporal Dynamics in Fitness Games on Children's Physical Activity , Ankita Samariya

BullyNet: Unmasking Cyberbullies on Social Networks , Aparna Sankaran

FALCON: Framework for Anomaly Detection In Industrial Control Systems , Subin Sapkota

Investigating Semantic Properties of Images Generated from Natural Language Using Neural Networks , Samuel Ward Schrader

Incremental Processing for Improving Conversational Grounding in a Chatbot , Aprajita Shukla

Estimating Error and Bias of Offline Recommender System Evaluation Results , Mucun Tian

Theses/Dissertations from 2018 2018

Leveraging Tiled Display for Big Data Visualization Using D3.js , Ujjwal Acharya

Fostering the Retrieval of Suitable Web Resources in Response to Children's Educational Search Tasks , Oghenemaro Deborah Anuyah

Privacy-Preserving Genomic Data Publishing via Differential Privacy , Tanya Khatri

Injecting Control Commands Through Sensory Channel: Attack and Defense , Farhad Rasapour

Strong Mutation-Based Test Generation of XACML Policies , Roshan Shrestha

Performance, Scalability, and Robustness in Distributed File Tree Copy , Christopher Robert Sutton

Using DNA For Data Storage: Encoding and Decoding Algorithm Development , Kelsey Suyehira

Detecting Saliency by Combining Speech and Object Detection in Indoor Environments , Kiran Thapa

Theses/Dissertations from 2017 2017

Identifying Restaurants Proposing Novel Kinds of Cuisines: Using Yelp Reviews , Haritha Akella

Editing Behavior Analysis and Prediction of Active/Inactive Users in Wikipedia , Harish Arelli

CloudSkulk: Design of a Nested Virtual Machine Based Rootkit-in-the-Middle Attack , Joseph Anthony Connelly

Predicting Friendship Strength in Facebook , Nitish Dhakal

Privacy-Preserving Trajectory Data Publishing via Differential Privacy , Ishita Dwivedi

Cultivating Community Interactions in Citizen Science: Connecting People to Each Other and the Environment , Bret Allen Finley

Uncovering New Links Through Interaction Duration , Laxmi Amulya Gundala

Variance: Secure Two-Party Protocol for Solving Yao's Millionaires' Problem in Bitcoin , Joshua Holmes

A Scalable Graph-Coarsening Based Index for Dynamic Graph Databases , Akshay Kansal

Integrity Coded Databases: Ensuring Correctness and Freshness of Outsourced Databases , Ujwal Karki

Editable View Optimized Tone Mapping For Viewing High Dynamic Range Panoramas On Head Mounted Display , Yuan Li

The Effects of Pair-Programming in a High School Introductory Computer Science Class , Ken Manship

Towards Automatic Repair of XACML Policies , Shuai Peng

Identification of Unknown Landscape Types Using CNN Transfer Learning , Ashish Sharma

Hand Gesture Recognition for Sign Language Transcription , Iker Vazquez Lopez

Learning to Code Music : Development of a Supplemental Unit for High School Computer Science , Kelsey Wright

Theses/Dissertations from 2016 2016

Identification of Small Endogenous Viral Elements within Host Genomes , Edward C. Davis Jr.

When the System Becomes Your Personal Docent: Curated Book Recommendations , Nevena Dragovic

Security Testing with Misuse Case Modeling , Samer Yousef Khamaiseh

Estimating Length Statistics of Aggregate Fried Potato Product via Electromagnetic Radiation Attenuation , Jesse Lovitt

Towards Multipurpose Readability Assessment , Ion Madrazo

Evaluation of Topic Models for Content-Based Popularity Prediction on Social Microblogs , Axel Magnuson

CEST: City Event Summarization using Twitter , Deepa Mallela

Developing an ABAC-Based Grant Proposal Workflow Management System , Milson Munakami

Phoenix and Hive as Alternatives to RDBMS , Diana Ornelas

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Computer Science Thesis Topics

This page provides a comprehensive list of computer science thesis topics , carefully curated to support students in identifying and selecting innovative and relevant areas for their academic research. Whether you are at the beginning of your research journey or are seeking a specific area to explore further, this guide aims to serve as an essential resource. With an expansive array of topics spread across various sub-disciplines of computer science, this list is designed to meet a diverse range of interests and academic needs. From the complexities of artificial intelligence to the intricate designs of web development, each category is equipped with 40 specific topics, offering a breadth of possibilities to inspire your next big thesis project. Explore our guide to find not only a topic that resonates with your academic ambitions but also one that has the potential to contribute significantly to the field of computer science.

1000 Computer Science Thesis Topics and Ideas

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• Internet Of Things (IoT) Thesis Topics

Machine Learning Thesis Topics

Neural networks thesis topics, programming thesis topics, quantum computing thesis topics, robotics thesis topics, software engineering thesis topics, web development thesis topics.

• Ethical Implications of AI in Decision-Making Processes
• The Role of AI in Personalized Medicine: Opportunities and Challenges
• Advances in AI-Driven Predictive Analytics in Retail
• AI in Autonomous Vehicles: Safety, Regulation, and Technology Integration
• Natural Language Processing: Improving Human-Machine Interaction
• The Future of AI in Cybersecurity: Threats and Defenses
• Machine Learning Algorithms for Real-Time Data Processing
• AI and the Internet of Things: Transforming Smart Home Technology
• The Impact of Deep Learning on Image Recognition Technologies
• Reinforcement Learning: Applications in Robotics and Automation
• AI in Finance: Algorithmic Trading and Risk Assessment
• Bias and Fairness in AI: Addressing Socio-Technical Challenges
• The Evolution of AI in Education: Customized Learning Experiences
• AI for Environmental Conservation: Tracking and Predictive Analysis
• The Role of Artificial Neural Networks in Weather Forecasting
• AI in Agriculture: Predictive Analytics for Crop and Soil Management
• Emotional Recognition AI: Implications for Mental Health Assessments
• AI in Space Exploration: Autonomous Rovers and Mission Planning
• Enhancing User Experience with AI in Video Games
• AI-Powered Virtual Assistants: Trends, Effectiveness, and User Trust
• The Integration of AI in Traditional Industries: Case Studies
• Generative AI Models in Art and Creativity
• AI in LegalTech: Document Analysis and Litigation Prediction
• Healthcare Diagnostics: AI Applications in Radiology and Pathology
• AI and Blockchain: Enhancing Security in Decentralized Systems
• Ethics of AI in Surveillance: Privacy vs. Security
• AI in E-commerce: Personalization Engines and Customer Behavior Analysis
• The Future of AI in Telecommunications: Network Optimization and Service Delivery
• AI in Manufacturing: Predictive Maintenance and Quality Control
• Challenges of AI in Elderly Care: Ethical Considerations and Technological Solutions
• The Role of AI in Public Safety and Emergency Response
• AI for Content Creation: Impact on Media and Journalism
• AI-Driven Algorithms for Efficient Energy Management
• The Role of AI in Cultural Heritage Preservation
• AI and the Future of Public Transport: Optimization and Management
• Enhancing Sports Performance with AI-Based Analytics
• AI in Human Resources: Automating Recruitment and Employee Management
• Real-Time Translation AI: Breaking Language Barriers
• AI in Mental Health: Tools for Monitoring and Therapy Assistance
• The Future of AI Governance: Regulation and Standardization
• AR in Medical Training and Surgery Simulation
• The Impact of Augmented Reality in Retail: Enhancing Consumer Experience
• Augmented Reality for Enhanced Navigation Systems
• AR Applications in Maintenance and Repair in Industrial Settings
• The Role of AR in Enhancing Online Education
• Augmented Reality in Cultural Heritage: Interactive Visitor Experiences
• Developing AR Tools for Improved Sports Coaching and Training
• Privacy and Security Challenges in Augmented Reality Applications
• The Future of AR in Advertising: Engagement and Measurement
• User Interface Design for AR: Principles and Best Practices
• AR in Automotive Industry: Enhancing Driving Experience and Safety
• Augmented Reality for Emergency Response Training
• AR and IoT: Converging Technologies for Smart Environments
• Enhancing Physical Rehabilitation with AR Applications
• The Role of AR in Enhancing Public Safety and Awareness
• Augmented Reality in Fashion: Virtual Fitting and Personalized Shopping
• AR for Environmental Education: Interactive and Immersive Learning
• The Use of AR in Building and Architecture Planning
• AR in the Entertainment Industry: Games and Live Events
• Implementing AR in Museums and Art Galleries for Interactive Learning
• Augmented Reality for Real Estate: Virtual Tours and Property Visualization
• AR in Consumer Electronics: Integration in Smart Devices
• The Development of AR Applications for Children’s Education
• AR for Enhancing User Engagement in Social Media Platforms
• The Application of AR in Field Service Management
• Augmented Reality for Disaster Management and Risk Assessment
• Challenges of Content Creation for Augmented Reality
• Future Trends in AR Hardware: Wearables and Beyond
• Legal and Ethical Considerations of Augmented Reality Technology
• AR in Space Exploration: Tools for Simulation and Training
• Interactive Shopping Experiences with AR: The Future of Retail
• AR in Wildlife Conservation: Educational Tools and Awareness
• The Impact of AR on the Publishing Industry: Interactive Books and Magazines
• Augmented Reality and Its Role in Automotive Manufacturing
• AR for Job Training: Bridging the Skill Gap in Various Industries
• The Role of AR in Therapy: New Frontiers in Mental Health Treatment
• The Future of Augmented Reality in Sports Broadcasting
• AR as a Tool for Enhancing Public Art Installations
• Augmented Reality in the Tourism Industry: Personalized Travel Experiences
• The Use of AR in Security Training: Realistic and Safe Simulations
• The Role of Big Data in Improving Healthcare Outcomes
• Big Data and Its Impact on Consumer Behavior Analysis
• Privacy Concerns in Big Data: Ethical and Legal Implications
• The Application of Big Data in Predictive Maintenance for Manufacturing
• Real-Time Big Data Processing: Tools and Techniques
• Big Data in Financial Services: Fraud Detection and Risk Management
• The Evolution of Big Data Technologies: From Hadoop to Spark
• Big Data Visualization: Techniques for Effective Communication of Insights
• The Integration of Big Data and Artificial Intelligence
• Big Data in Smart Cities: Applications in Traffic Management and Energy Use
• Enhancing Supply Chain Efficiency with Big Data Analytics
• Big Data in Sports Analytics: Improving Team Performance and Fan Engagement
• The Role of Big Data in Environmental Monitoring and Sustainability
• Big Data and Social Media: Analyzing Sentiments and Trends
• Scalability Challenges in Big Data Systems
• The Future of Big Data in Retail: Personalization and Customer Experience
• Big Data in Education: Customized Learning Paths and Student Performance Analysis
• Privacy-Preserving Techniques in Big Data
• Big Data in Public Health: Epidemiology and Disease Surveillance
• The Impact of Big Data on Insurance: Tailored Policies and Pricing
• Edge Computing in Big Data: Processing at the Source
• Big Data and the Internet of Things: Generating Insights from IoT Data
• Cloud-Based Big Data Analytics: Opportunities and Challenges
• Big Data Governance: Policies, Standards, and Management
• The Role of Big Data in Crisis Management and Response
• Machine Learning with Big Data: Building Predictive Models
• Big Data in Agriculture: Precision Farming and Yield Optimization
• The Ethics of Big Data in Research: Consent and Anonymity
• Cross-Domain Big Data Integration: Challenges and Solutions
• Big Data and Cybersecurity: Threat Detection and Prevention Strategies
• Real-Time Streaming Analytics in Big Data
• Big Data in the Media Industry: Content Optimization and Viewer Insights
• The Impact of GDPR on Big Data Practices
• Quantum Computing and Big Data: Future Prospects
• Big Data in E-Commerce: Optimizing Logistics and Inventory Management
• Big Data Talent: Education and Skill Development for Data Scientists
• The Role of Big Data in Political Campaigns and Voting Behavior Analysis
• Big Data and Mental Health: Analyzing Patterns for Better Interventions
• Big Data in Genomics and Personalized Medicine
• The Future of Big Data in Autonomous Driving Technologies
• The Role of Bioinformatics in Personalized Medicine
• Next-Generation Sequencing Data Analysis: Challenges and Opportunities
• Bioinformatics and the Study of Genetic Diseases
• Computational Models for Understanding Protein Structure and Function
• Bioinformatics in Drug Discovery and Development
• The Impact of Big Data on Bioinformatics: Data Management and Analysis
• Machine Learning Applications in Bioinformatics
• Bioinformatics Approaches for Cancer Genomics
• The Development of Bioinformatics Tools for Metagenomics Analysis
• Ethical Considerations in Bioinformatics: Data Sharing and Privacy
• The Role of Bioinformatics in Agricultural Biotechnology
• Bioinformatics and Viral Evolution: Tracking Pathogens and Outbreaks
• The Integration of Bioinformatics and Systems Biology
• Bioinformatics in Neuroscience: Mapping the Brain
• The Future of Bioinformatics in Non-Invasive Prenatal Testing
• Bioinformatics and the Human Microbiome: Health Implications
• The Application of Artificial Intelligence in Bioinformatics
• Structural Bioinformatics: Computational Techniques for Molecular Modeling
• Comparative Genomics: Insights into Evolution and Function
• Bioinformatics in Immunology: Vaccine Design and Immune Response Analysis
• High-Performance Computing in Bioinformatics
• The Challenge of Proteomics in Bioinformatics
• RNA-Seq Data Analysis and Interpretation
• Cloud Computing Solutions for Bioinformatics Data
• Computational Epigenetics: DNA Methylation and Histone Modification Analysis
• Bioinformatics in Ecology: Biodiversity and Conservation Genetics
• The Role of Bioinformatics in Forensic Analysis
• Mobile Apps and Tools for Bioinformatics Research
• Bioinformatics and Public Health: Epidemiological Studies
• The Use of Bioinformatics in Clinical Diagnostics
• Genetic Algorithms in Bioinformatics
• Bioinformatics for Aging Research: Understanding the Mechanisms of Aging
• Data Visualization Techniques in Bioinformatics
• Bioinformatics and the Development of Therapeutic Antibodies
• The Role of Bioinformatics in Stem Cell Research
• Bioinformatics and Cardiovascular Diseases: Genomic Insights
• The Impact of Machine Learning on Functional Genomics in Bioinformatics
• Bioinformatics in Dental Research: Genetic Links to Oral Diseases
• The Future of CRISPR Technology and Bioinformatics
• Bioinformatics and Nutrition: Genomic Insights into Diet and Health
• Blockchain for Enhancing Cybersecurity in Various Industries
• The Impact of Blockchain on Supply Chain Transparency
• Blockchain in Healthcare: Patient Data Management and Security
• The Application of Blockchain in Voting Systems
• Blockchain and Smart Contracts: Legal Implications and Applications
• Cryptocurrencies: Market Trends and the Future of Digital Finance
• Blockchain in Real Estate: Improving Property and Land Registration
• The Role of Blockchain in Managing Digital Identities
• Blockchain for Intellectual Property Management
• Energy Sector Innovations: Blockchain for Renewable Energy Distribution
• Blockchain and the Future of Public Sector Operations
• The Impact of Blockchain on Cross-Border Payments
• Blockchain for Non-Fungible Tokens (NFTs): Applications in Art and Media
• Privacy Issues in Blockchain Applications
• Blockchain in the Automotive Industry: Supply Chain and Beyond
• Decentralized Finance (DeFi): Opportunities and Challenges
• The Role of Blockchain in Combating Counterfeiting and Fraud
• Blockchain for Sustainable Environmental Practices
• The Integration of Artificial Intelligence with Blockchain
• Blockchain Education: Curriculum Development and Training Needs
• Blockchain in the Music Industry: Rights Management and Revenue Distribution
• The Challenges of Blockchain Scalability and Performance Optimization
• The Future of Blockchain in the Telecommunications Industry
• Blockchain and Consumer Data Privacy: A New Paradigm
• Blockchain for Disaster Recovery and Business Continuity
• Blockchain in the Charity and Non-Profit Sectors
• Quantum Resistance in Blockchain: Preparing for the Quantum Era
• Blockchain and Its Impact on Traditional Banking and Financial Institutions
• Legal and Regulatory Challenges Facing Blockchain Technology
• Blockchain for Improved Logistics and Freight Management
• The Role of Blockchain in the Evolution of the Internet of Things (IoT)
• Blockchain and the Future of Gaming: Transparency and Fair Play
• Blockchain for Academic Credentials Verification
• The Application of Blockchain in the Insurance Industry
• Blockchain and the Future of Content Creation and Distribution
• Blockchain for Enhancing Data Integrity in Scientific Research
• The Impact of Blockchain on Human Resources: Employee Verification and Salary Payments
• Blockchain and the Future of Retail: Customer Loyalty Programs and Inventory Management
• Blockchain and Industrial Automation: Trust and Efficiency
• Blockchain for Digital Marketing: Transparency and Consumer Engagement
• Multi-Cloud Strategies: Optimization and Security Challenges
• Advances in Cloud Computing Architectures for Scalable Applications
• Edge Computing: Extending the Reach of Cloud Services
• Cloud Security: Novel Approaches to Data Encryption and Threat Mitigation
• The Impact of Serverless Computing on Software Development Lifecycle
• Cloud Computing and Sustainability: Energy-Efficient Data Centers
• Cloud Service Models: Comparative Analysis of IaaS, PaaS, and SaaS
• Cloud Migration Strategies: Best Practices and Common Pitfalls
• The Role of Cloud Computing in Big Data Analytics
• Implementing AI and Machine Learning Workloads on Cloud Platforms
• Hybrid Cloud Environments: Management Tools and Techniques
• Cloud Computing in Healthcare: Compliance, Security, and Use Cases
• Cost-Effective Cloud Solutions for Small and Medium Enterprises (SMEs)
• The Evolution of Cloud Storage Solutions: Trends and Technologies
• Cloud-Based Disaster Recovery Solutions: Design and Reliability
• Blockchain in Cloud Services: Enhancing Transparency and Trust
• Cloud Networking: Managing Connectivity and Traffic in Cloud Environments
• Cloud Governance: Managing Compliance and Operational Risks
• The Future of Cloud Computing: Quantum Computing Integration
• Performance Benchmarking of Cloud Services Across Different Providers
• Privacy Preservation in Cloud Environments
• Cloud Computing in Education: Virtual Classrooms and Learning Management Systems
• Automation in Cloud Deployments: Tools and Strategies
• Cloud Auditing and Monitoring Techniques
• Mobile Cloud Computing: Challenges and Future Trends
• The Role of Cloud Computing in Digital Media Production and Distribution
• Security Risks in Multi-Tenancy Cloud Environments
• Cloud Computing for Scientific Research: Enabling Complex Simulations
• The Impact of 5G on Cloud Computing Services
• Federated Clouds: Building Collaborative Cloud Environments
• Managing Software Dependencies in Cloud Applications
• The Economics of Cloud Computing: Cost Models and Pricing Strategies
• Cloud Computing in Government: Security Protocols and Citizen Services
• Cloud Access Security Brokers (CASBs): Security Enforcement Points
• DevOps in the Cloud: Strategies for Continuous Integration and Deployment
• Predictive Analytics in Cloud Computing
• The Role of Cloud Computing in IoT Deployment
• Implementing Robust Cybersecurity Measures in Cloud Architecture
• Cloud Computing in the Financial Sector: Handling Sensitive Data
• Future Trends in Cloud Computing: The Role of AI in Cloud Optimization
• Advances in Microprocessor Design and Architecture
• FPGA-Based Design: Innovations and Applications
• The Role of Embedded Systems in Consumer Electronics
• Quantum Computing: Hardware Development and Challenges
• High-Performance Computing (HPC) and Parallel Processing
• Design and Analysis of Computer Networks
• Cyber-Physical Systems: Design, Analysis, and Security
• The Impact of Nanotechnology on Computer Hardware
• Wireless Sensor Networks: Design and Optimization
• Cryptographic Hardware: Implementations and Security Evaluations
• Machine Learning Techniques for Hardware Optimization
• Hardware for Artificial Intelligence: GPUs vs. TPUs
• Energy-Efficient Hardware Designs for Sustainable Computing
• Security Aspects of Mobile and Ubiquitous Computing
• Advanced Algorithms for Computer-Aided Design (CAD) of VLSI
• Signal Processing in Communication Systems
• The Development of Wearable Computing Devices
• Computer Hardware Testing: Techniques and Tools
• The Role of Hardware in Network Security
• The Evolution of Interface Designs in Consumer Electronics
• Biometric Systems: Hardware and Software Integration
• The Integration of IoT Devices in Smart Environments
• Electronic Design Automation (EDA) Tools and Methodologies
• Robotics: Hardware Design and Control Systems
• Hardware Accelerators for Deep Learning Applications
• Developments in Non-Volatile Memory Technologies
• The Future of Computer Hardware in the Era of Quantum Computing
• Hardware Solutions for Data Storage and Retrieval
• Power Management Techniques in Embedded Systems
• Challenges in Designing Multi-Core Processors
• System on Chip (SoC) Design Trends and Challenges
• The Role of Computer Engineering in Aerospace Technology
• Real-Time Systems: Design and Implementation Challenges
• Hardware Support for Virtualization Technology
• Advances in Computer Graphics Hardware
• The Impact of 5G Technology on Mobile Computing Hardware
• Environmental Impact Assessment of Computer Hardware Production
• Security Vulnerabilities in Modern Microprocessors
• Computer Hardware Innovations in the Automotive Industry
• The Role of Computer Engineering in Medical Device Technology
• Deep Learning Approaches to Object Recognition
• Real-Time Image Processing for Autonomous Vehicles
• Computer Vision in Robotic Surgery: Techniques and Challenges
• Facial Recognition Technology: Innovations and Privacy Concerns
• Machine Vision in Industrial Automation and Quality Control
• 3D Reconstruction Techniques in Computer Vision
• Enhancing Sports Analytics with Computer Vision
• Augmented Reality: Integrating Computer Vision for Immersive Experiences
• Computer Vision for Environmental Monitoring
• Thermal Imaging and Its Applications in Computer Vision
• Computer Vision in Retail: Customer Behavior and Store Layout Optimization
• Motion Detection and Tracking in Security Systems
• The Role of Computer Vision in Content Moderation on Social Media
• Gesture Recognition: Methods and Applications
• Computer Vision in Agriculture: Pest Detection and Crop Analysis
• Advances in Medical Imaging: Machine Learning and Computer Vision
• Scene Understanding and Contextual Inference in Images
• The Development of Vision-Based Autonomous Drones
• Optical Character Recognition (OCR): Latest Techniques and Applications
• The Impact of Computer Vision on Virtual Reality Experiences
• Biometrics: Enhancing Security Systems with Computer Vision
• Computer Vision for Wildlife Conservation: Species Recognition and Behavior Analysis
• Underwater Image Processing: Challenges and Techniques
• Video Surveillance: The Evolution of Algorithmic Approaches
• Advanced Driver-Assistance Systems (ADAS): Leveraging Computer Vision
• Computational Photography: Enhancing Image Capture Techniques
• The Integration of AI in Computer Vision: Ethical and Technical Considerations
• Computer Vision in the Gaming Industry: From Design to Interaction
• The Future of Computer Vision in Smart Cities
• Pattern Recognition in Historical Document Analysis
• The Role of Computer Vision in the Manufacturing of Customized Products
• Enhancing Accessibility with Computer Vision: Tools for the Visually Impaired
• The Use of Computer Vision in Behavioral Research
• Predictive Analytics with Computer Vision in Sports
• Image Synthesis with Generative Adversarial Networks (GANs)
• The Use of Computer Vision in Remote Sensing
• Real-Time Video Analytics for Public Safety
• The Role of Computer Vision in Telemedicine
• Computer Vision and the Internet of Things (IoT): A Synergistic Approach
• Future Trends in Computer Vision: Quantum Computing and Beyond
• Advances in Cryptography: Post-Quantum Cryptosystems
• Artificial Intelligence in Cybersecurity: Threat Detection and Response
• Blockchain for Enhanced Security in Distributed Networks
• The Impact of IoT on Cybersecurity: Vulnerabilities and Solutions
• Cybersecurity in Cloud Computing: Best Practices and Tools
• Ethical Hacking: Techniques and Ethical Implications
• The Role of Human Factors in Cybersecurity Breaches
• Privacy-preserving Technologies in an Age of Surveillance
• The Evolution of Ransomware Attacks and Defense Strategies
• Secure Software Development: Integrating Security in DevOps (DevSecOps)
• Cybersecurity in Critical Infrastructure: Challenges and Innovations
• The Future of Biometric Security Systems
• Cyber Warfare: State-sponsored Attacks and Defense Mechanisms
• The Role of Cybersecurity in Protecting Digital Identities
• Social Engineering Attacks: Prevention and Countermeasures
• Mobile Security: Protecting Against Malware and Exploits
• Wireless Network Security: Protocols and Practices
• Data Breaches: Analysis, Consequences, and Mitigation
• The Ethics of Cybersecurity: Balancing Privacy and Security
• Regulatory Compliance and Cybersecurity: GDPR and Beyond
• The Impact of 5G Technology on Cybersecurity
• The Role of Machine Learning in Cyber Threat Intelligence
• Cybersecurity in Automotive Systems: Challenges in a Connected Environment
• The Use of Virtual Reality for Cybersecurity Training and Simulation
• Advanced Persistent Threats (APT): Detection and Response
• Cybersecurity for Smart Cities: Challenges and Solutions
• Deep Learning Applications in Malware Detection
• The Role of Cybersecurity in Healthcare: Protecting Patient Data
• Supply Chain Cybersecurity: Identifying Risks and Solutions
• Endpoint Security: Trends, Challenges, and Future Directions
• Forensic Techniques in Cybersecurity: Tracking and Analyzing Cyber Crimes
• The Influence of International Law on Cyber Operations
• Protecting Financial Institutions from Cyber Frauds and Attacks
• Quantum Computing and Its Implications for Cybersecurity
• Cybersecurity and Remote Work: Emerging Threats and Strategies
• IoT Security in Industrial Applications
• Cyber Insurance: Risk Assessment and Management
• Security Challenges in Edge Computing Environments
• Anomaly Detection in Network Security Using AI Techniques
• Securing the Software Supply Chain in Application Development
• Big Data Analytics: Techniques and Applications in Real-time
• Machine Learning Algorithms for Predictive Analytics
• Data Science in Healthcare: Improving Patient Outcomes with Predictive Models
• The Role of Data Science in Financial Market Predictions
• Natural Language Processing: Emerging Trends and Applications
• Data Visualization Tools and Techniques for Enhanced Business Intelligence
• Ethics in Data Science: Privacy, Fairness, and Transparency
• The Use of Data Science in Environmental Science for Sustainability Studies
• The Impact of Data Science on Social Media Marketing Strategies
• Data Mining Techniques for Detecting Patterns in Large Datasets
• AI and Data Science: Synergies and Future Prospects
• Reinforcement Learning: Applications and Challenges in Data Science
• The Role of Data Science in E-commerce Personalization
• Predictive Maintenance in Manufacturing Through Data Science
• The Evolution of Recommendation Systems in Streaming Services
• Real-time Data Processing with Stream Analytics
• Deep Learning for Image and Video Analysis
• Data Governance in Big Data Analytics
• Text Analytics and Sentiment Analysis for Customer Feedback
• Fraud Detection in Banking and Insurance Using Data Science
• The Integration of IoT Data in Data Science Models
• The Future of Data Science in Quantum Computing
• Data Science for Public Health: Epidemic Outbreak Prediction
• Sports Analytics: Performance Improvement and Injury Prevention
• Data Science in Retail: Inventory Management and Customer Journey Analysis
• Data Science in Smart Cities: Traffic and Urban Planning
• The Use of Blockchain in Data Security and Integrity
• Geospatial Analysis for Environmental Monitoring
• Time Series Analysis in Economic Forecasting
• Data Science in Education: Analyzing Trends and Student Performance
• Predictive Policing: Data Science in Law Enforcement
• Data Science in Agriculture: Yield Prediction and Soil Health
• Computational Social Science: Analyzing Societal Trends
• Data Science in Energy Sector: Consumption and Optimization
• Personalization Technologies in Healthcare Through Data Science
• The Role of Data Science in Content Creation and Media
• Anomaly Detection in Network Security Using Data Science Techniques
• The Future of Autonomous Vehicles: Data Science-Driven Innovations
• Multimodal Data Fusion Techniques in Data Science
• Scalability Challenges in Data Science Projects
• The Role of Digital Transformation in Business Model Innovation
• The Impact of Digital Technologies on Customer Experience
• Digital Transformation in the Banking Sector: Trends and Challenges
• The Use of AI and Robotics in Digital Transformation of Manufacturing
• Digital Transformation in Healthcare: Telemedicine and Beyond
• The Influence of Big Data on Decision-Making Processes in Corporations
• Blockchain as a Driver for Transparency in Digital Transformation
• The Role of IoT in Enhancing Operational Efficiency in Industries
• Digital Marketing Strategies: SEO, Content, and Social Media
• The Integration of Cyber-Physical Systems in Industrial Automation
• Digital Transformation in Education: Virtual Learning Environments
• Smart Cities: The Role of Digital Technologies in Urban Planning
• Digital Transformation in the Retail Sector: E-commerce Evolution
• The Future of Work: Impact of Digital Transformation on Workplaces
• Cybersecurity Challenges in a Digitally Transformed World
• Mobile Technologies and Their Impact on Digital Transformation
• The Role of Digital Twin Technology in Industry 4.0
• Digital Transformation in the Public Sector: E-Government Services
• Data Privacy and Security in the Age of Digital Transformation
• Digital Transformation in the Energy Sector: Smart Grids and Renewable Energy
• The Use of Augmented Reality in Training and Development
• The Role of Virtual Reality in Real Estate and Architecture
• Digital Transformation and Sustainability: Reducing Environmental Footprint
• The Role of Digital Transformation in Supply Chain Optimization
• Digital Transformation in Agriculture: IoT and Smart Farming
• The Impact of 5G on Digital Transformation Initiatives
• The Influence of Digital Transformation on Media and Entertainment
• Digital Transformation in Insurance: Telematics and Risk Assessment
• The Role of AI in Enhancing Customer Service Operations
• The Future of Digital Transformation: Trends and Predictions
• Digital Transformation and Corporate Governance
• The Role of Leadership in Driving Digital Transformation
• Digital Transformation in Non-Profit Organizations: Challenges and Benefits
• The Economic Implications of Digital Transformation
• The Cultural Impact of Digital Transformation on Organizations
• Digital Transformation in Transportation: Logistics and Fleet Management
• User Experience (UX) Design in Digital Transformation
• The Role of Digital Transformation in Crisis Management
• Digital Transformation and Human Resource Management
• Implementing Change Management in Digital Transformation Projects
• Scalability Challenges in Distributed Systems: Solutions and Strategies
• Blockchain Technology: Enhancing Security and Transparency in Distributed Networks
• The Role of Edge Computing in Distributed Systems
• Designing Fault-Tolerant Systems in Distributed Networks
• The Impact of 5G Technology on Distributed Network Architectures
• Machine Learning Algorithms for Network Traffic Analysis
• Load Balancing Techniques in Distributed Computing
• The Use of Distributed Ledger Technology Beyond Cryptocurrencies
• Network Function Virtualization (NFV) and Its Impact on Service Providers
• The Evolution of Software-Defined Networking (SDN) in Enterprise Environments
• Implementing Robust Cybersecurity Measures in Distributed Systems
• Quantum Computing: Implications for Network Security in Distributed Systems
• Peer-to-Peer Network Protocols and Their Applications
• The Internet of Things (IoT): Network Challenges and Communication Protocols
• Real-Time Data Processing in Distributed Sensor Networks
• The Role of Artificial Intelligence in Optimizing Network Operations
• Privacy and Data Protection Strategies in Distributed Systems
• The Future of Distributed Computing in Cloud Environments
• Energy Efficiency in Distributed Network Systems
• Wireless Mesh Networks: Design, Challenges, and Applications
• Multi-Access Edge Computing (MEC): Use Cases and Deployment Challenges
• Consensus Algorithms in Distributed Systems: From Blockchain to New Applications
• The Use of Containers and Microservices in Building Scalable Applications
• Network Slicing for 5G: Opportunities and Challenges
• The Role of Distributed Systems in Big Data Analytics
• Managing Data Consistency in Distributed Databases
• The Impact of Distributed Systems on Digital Transformation Strategies
• Augmented Reality over Distributed Networks: Performance and Scalability Issues
• The Application of Distributed Systems in Smart Grid Technology
• Developing Distributed Applications Using Serverless Architectures
• The Challenges of Implementing IPv6 in Distributed Networks
• Distributed Systems for Disaster Recovery: Design and Implementation
• The Use of Virtual Reality in Distributed Network Environments
• Security Protocols for Ad Hoc Networks in Emergency Situations
• The Role of Distributed Networks in Enhancing Mobile Broadband Services
• Next-Generation Protocols for Enhanced Network Reliability and Performance
• The Application of Blockchain in Securing Distributed IoT Networks
• Dynamic Resource Allocation Strategies in Distributed Systems
• The Integration of Distributed Systems with Existing IT Infrastructure
• The Future of Autonomous Systems in Distributed Networking
• The Integration of GIS with Remote Sensing for Environmental Monitoring
• GIS in Urban Planning: Techniques for Sustainable Development
• The Role of GIS in Disaster Management and Response Strategies
• Real-Time GIS Applications in Traffic Management and Route Planning
• The Use of GIS in Water Resource Management
• GIS and Public Health: Tracking Epidemics and Healthcare Access
• Advances in 3D GIS: Technologies and Applications
• GIS in Agricultural Management: Precision Farming Techniques
• The Impact of GIS on Biodiversity Conservation Efforts
• Spatial Data Analysis for Crime Pattern Detection and Prevention
• GIS in Renewable Energy: Site Selection and Resource Management
• The Role of GIS in Historical Research and Archaeology
• GIS and Machine Learning: Integrating Spatial Analysis with Predictive Models
• Cloud Computing and GIS: Enhancing Accessibility and Data Processing
• The Application of GIS in Managing Public Transportation Systems
• GIS in Real Estate: Market Analysis and Property Valuation
• The Use of GIS for Environmental Impact Assessments
• Mobile GIS Applications: Development and Usage Trends
• GIS and Its Role in Smart City Initiatives
• Privacy Issues in the Use of Geographic Information Systems
• GIS in Forest Management: Monitoring and Conservation Strategies
• The Impact of GIS on Tourism: Enhancing Visitor Experiences through Technology
• GIS in the Insurance Industry: Risk Assessment and Policy Design
• The Development of Participatory GIS (PGIS) for Community Engagement
• GIS in Coastal Management: Addressing Erosion and Flood Risks
• Geospatial Analytics in Retail: Optimizing Location and Consumer Insights
• GIS for Wildlife Tracking and Habitat Analysis
• The Use of GIS in Climate Change Studies
• GIS and Social Media: Analyzing Spatial Trends from User Data
• The Future of GIS: Augmented Reality and Virtual Reality Applications
• GIS in Education: Tools for Teaching Geographic Concepts
• The Role of GIS in Land Use Planning and Zoning
• GIS for Emergency Medical Services: Optimizing Response Times
• Open Source GIS Software: Development and Community Contributions
• GIS and the Internet of Things (IoT): Converging Technologies for Advanced Monitoring
• GIS for Mineral Exploration: Techniques and Applications
• The Role of GIS in Municipal Management and Services
• GIS and Drone Technology: A Synergy for Precision Mapping
• Spatial Statistics in GIS: Techniques for Advanced Data Analysis
• Future Trends in GIS: The Integration of AI for Smarter Solutions
• The Evolution of User Interface (UI) Design: From Desktop to Mobile and Beyond
• The Role of HCI in Enhancing Accessibility for Disabled Users
• Virtual Reality (VR) and Augmented Reality (AR) in HCI: New Dimensions of Interaction
• The Impact of HCI on User Experience (UX) in Software Applications
• Cognitive Aspects of HCI: Understanding User Perception and Behavior
• HCI and the Internet of Things (IoT): Designing Interactive Smart Devices
• The Use of Biometrics in HCI: Security and Usability Concerns
• HCI in Educational Technologies: Enhancing Learning through Interaction
• Emotional Recognition and Its Application in HCI
• The Role of HCI in Wearable Technology: Design and Functionality
• Advanced Techniques in Voice User Interfaces (VUIs)
• The Impact of HCI on Social Media Interaction Patterns
• HCI in Healthcare: Designing User-Friendly Medical Devices and Software
• HCI and Gaming: Enhancing Player Engagement and Experience
• The Use of HCI in Robotic Systems: Improving Human-Robot Interaction
• The Influence of HCI on E-commerce: Optimizing User Journeys and Conversions
• HCI in Smart Homes: Interaction Design for Automated Environments
• Multimodal Interaction: Integrating Touch, Voice, and Gesture in HCI
• HCI and Aging: Designing Technology for Older Adults
• The Role of HCI in Virtual Teams: Tools and Strategies for Collaboration
• User-Centered Design: HCI Strategies for Developing User-Focused Software
• HCI Research Methodologies: Experimental Design and User Studies
• The Application of HCI Principles in the Design of Public Kiosks
• The Future of HCI: Integrating Artificial Intelligence for Smarter Interfaces
• HCI in Transportation: Designing User Interfaces for Autonomous Vehicles
• Privacy and Ethics in HCI: Addressing User Data Security
• HCI and Environmental Sustainability: Promoting Eco-Friendly Behaviors
• Adaptive Interfaces: HCI Design for Personalized User Experiences
• The Role of HCI in Content Creation: Tools for Artists and Designers
• HCI for Crisis Management: Designing Systems for Emergency Use
• The Use of HCI in Sports Technology: Enhancing Training and Performance
• The Evolution of Haptic Feedback in HCI
• HCI and Cultural Differences: Designing for Global User Bases
• The Impact of HCI on Digital Marketing: Creating Engaging User Interactions
• HCI in Financial Services: Improving User Interfaces for Banking Apps
• The Role of HCI in Enhancing User Trust in Technology
• HCI for Public Safety: User Interfaces for Security Systems
• The Application of HCI in the Film and Television Industry
• HCI and the Future of Work: Designing Interfaces for Remote Collaboration
• Innovations in HCI: Exploring New Interaction Technologies and Their Applications
• Deep Learning Techniques for Advanced Image Segmentation
• Real-Time Image Processing for Autonomous Driving Systems
• Image Enhancement Algorithms for Underwater Imaging
• Super-Resolution Imaging: Techniques and Applications
• The Role of Image Processing in Remote Sensing and Satellite Imagery Analysis
• Machine Learning Models for Medical Image Diagnosis
• The Impact of AI on Photographic Restoration and Enhancement
• Image Processing in Security Systems: Facial Recognition and Motion Detection
• Advanced Algorithms for Image Noise Reduction
• 3D Image Reconstruction Techniques in Tomography
• Image Processing for Agricultural Monitoring: Crop Disease Detection and Yield Prediction
• Techniques for Panoramic Image Stitching
• Video Image Processing: Real-Time Streaming and Data Compression
• The Application of Image Processing in Printing Technology
• Color Image Processing: Theory and Practical Applications
• The Use of Image Processing in Biometrics Identification
• Computational Photography: Image Processing Techniques in Smartphone Cameras
• Image Processing for Augmented Reality: Real-time Object Overlay
• The Development of Image Processing Algorithms for Traffic Control Systems
• Pattern Recognition and Analysis in Forensic Imaging
• Adaptive Filtering Techniques in Image Processing
• Image Processing in Retail: Customer Tracking and Behavior Analysis
• The Role of Image Processing in Cultural Heritage Preservation
• Image Segmentation Techniques for Cancer Detection in Medical Imaging
• High Dynamic Range (HDR) Imaging: Algorithms and Display Techniques
• Image Classification with Deep Convolutional Neural Networks
• The Evolution of Edge Detection Algorithms in Image Processing
• Image Processing for Wildlife Monitoring: Species Recognition and Behavior Analysis
• Application of Wavelet Transforms in Image Compression
• Image Processing in Sports: Enhancing Broadcasts and Performance Analysis
• Optical Character Recognition (OCR) Improvements in Document Scanning
• Multi-Spectral Imaging for Environmental and Earth Studies
• Image Processing for Space Exploration: Analysis of Planetary Images
• Real-Time Image Processing for Event Surveillance
• The Influence of Quantum Computing on Image Processing Speed and Security
• Machine Vision in Manufacturing: Defect Detection and Quality Control
• Image Processing in Neurology: Visualizing Brain Functions
• Photogrammetry and Image Processing in Geology: 3D Terrain Mapping
• Advanced Techniques in Image Watermarking for Copyright Protection
• The Future of Image Processing: Integrating AI for Automated Editing
• The Evolution of Enterprise Resource Planning (ERP) Systems in the Digital Age
• Information Systems for Managing Distributed Workforces
• The Role of Information Systems in Enhancing Supply Chain Management
• Cybersecurity Measures in Information Systems
• The Impact of Big Data on Decision Support Systems
• Blockchain Technology for Information System Security
• The Development of Sustainable IT Infrastructure in Information Systems
• The Use of AI in Information Systems for Business Intelligence
• Information Systems in Healthcare: Improving Patient Care and Data Management
• The Influence of IoT on Information Systems Architecture
• Mobile Information Systems: Development and Usability Challenges
• The Role of Geographic Information Systems (GIS) in Urban Planning
• Social Media Analytics: Tools and Techniques in Information Systems
• Information Systems in Education: Enhancing Learning and Administration
• Cloud Computing Integration into Corporate Information Systems
• Information Systems Audit: Practices and Challenges
• User Interface Design and User Experience in Information Systems
• Privacy and Data Protection in Information Systems
• The Future of Quantum Computing in Information Systems
• The Role of Information Systems in Environmental Management
• Implementing Effective Knowledge Management Systems
• The Adoption of Virtual Reality in Information Systems
• The Challenges of Implementing ERP Systems in Multinational Corporations
• Information Systems for Real-Time Business Analytics
• The Impact of 5G Technology on Mobile Information Systems
• Ethical Issues in the Management of Information Systems
• Information Systems in Retail: Enhancing Customer Experience and Management
• The Role of Information Systems in Non-Profit Organizations
• Development of Decision Support Systems for Strategic Planning
• Information Systems in the Banking Sector: Enhancing Financial Services
• Risk Management in Information Systems
• The Integration of Artificial Neural Networks in Information Systems
• Information Systems and Corporate Governance
• Information Systems for Disaster Response and Management
• The Role of Information Systems in Sports Management
• Information Systems for Public Health Surveillance
• The Future of Information Systems: Trends and Predictions
• Information Systems in the Film and Media Industry
• Business Process Reengineering through Information Systems
• Implementing Customer Relationship Management (CRM) Systems in E-commerce
• Emerging Trends in Artificial Intelligence and Machine Learning
• The Future of Cloud Services and Technology
• Cybersecurity: Current Threats and Future Defenses
• The Role of Information Technology in Sustainable Energy Solutions
• Internet of Things (IoT): From Smart Homes to Smart Cities
• Blockchain and Its Impact on Information Technology
• The Use of Big Data Analytics in Predictive Modeling
• Virtual Reality (VR) and Augmented Reality (AR): The Next Frontier in IT
• The Challenges of Digital Transformation in Traditional Businesses
• Wearable Technology: Health Monitoring and Beyond
• 5G Technology: Implementation and Impacts on IT
• Biometrics Technology: Uses and Privacy Concerns
• The Role of IT in Global Health Initiatives
• Ethical Considerations in the Development of Autonomous Systems
• Data Privacy in the Age of Information Overload
• The Evolution of Software Development Methodologies
• Quantum Computing: The Next Revolution in IT
• IT Governance: Best Practices and Standards
• The Integration of AI in Customer Service Technology
• IT in Manufacturing: Industrial Automation and Robotics
• The Future of E-commerce: Technology and Trends
• Mobile Computing: Innovations and Challenges
• Information Technology in Education: Tools and Trends
• IT Project Management: Approaches and Tools
• The Role of IT in Media and Entertainment
• The Impact of Digital Marketing Technologies on Business Strategies
• IT in Logistics and Supply Chain Management
• The Development and Future of Autonomous Vehicles
• IT in the Insurance Sector: Enhancing Efficiency and Customer Engagement
• The Role of IT in Environmental Conservation
• Smart Grid Technology: IT at the Intersection of Energy Management
• Telemedicine: The Impact of IT on Healthcare Delivery
• IT in the Agricultural Sector: Innovations and Impact
• Cyber-Physical Systems: IT in the Integration of Physical and Digital Worlds
• The Influence of Social Media Platforms on IT Development
• Data Centers: Evolution, Technologies, and Sustainability
• IT in Public Administration: Improving Services and Transparency
• The Role of IT in Sports Analytics
• Information Technology in Retail: Enhancing the Shopping Experience
• The Future of IT: Integrating Ethical AI Systems

Internet of Things (IoT) Thesis Topics

• Enhancing IoT Security: Strategies for Safeguarding Connected Devices
• IoT in Smart Cities: Infrastructure and Data Management Challenges
• The Application of IoT in Precision Agriculture: Maximizing Efficiency and Yield
• IoT and Healthcare: Opportunities for Remote Monitoring and Patient Care
• Energy Efficiency in IoT: Techniques for Reducing Power Consumption in Devices
• The Role of IoT in Supply Chain Management and Logistics
• Real-Time Data Processing Using Edge Computing in IoT Networks
• Privacy Concerns and Data Protection in IoT Systems
• The Integration of IoT with Blockchain for Enhanced Security and Transparency
• IoT in Environmental Monitoring: Systems for Air Quality and Water Safety
• Predictive Maintenance in Industrial IoT: Strategies and Benefits
• IoT in Retail: Enhancing Customer Experience through Smart Technology
• The Development of Standard Protocols for IoT Communication
• IoT in Smart Homes: Automation and Security Systems
• The Role of IoT in Disaster Management: Early Warning Systems and Response Coordination
• Machine Learning Techniques for IoT Data Analytics
• IoT in Automotive: The Future of Connected and Autonomous Vehicles
• The Impact of 5G on IoT: Enhancements in Speed and Connectivity
• IoT Device Lifecycle Management: From Creation to Decommissioning
• IoT in Public Safety: Applications for Emergency Response and Crime Prevention
• The Ethics of IoT: Balancing Innovation with Consumer Rights
• IoT and the Future of Work: Automation and Labor Market Shifts
• Designing User-Friendly Interfaces for IoT Applications
• IoT in the Energy Sector: Smart Grids and Renewable Energy Integration
• Quantum Computing and IoT: Potential Impacts and Applications
• The Role of AI in Enhancing IoT Solutions
• IoT for Elderly Care: Technologies for Health and Mobility Assistance
• IoT in Education: Enhancing Classroom Experiences and Learning Outcomes
• Challenges in Scaling IoT Infrastructure for Global Coverage
• The Economic Impact of IoT: Industry Transformations and New Business Models
• IoT and Tourism: Enhancing Visitor Experiences through Connected Technologies
• Data Fusion Techniques in IoT: Integrating Diverse Data Sources
• IoT in Aquaculture: Monitoring and Managing Aquatic Environments
• Wireless Technologies for IoT: Comparing LoRa, Zigbee, and NB-IoT
• IoT and Intellectual Property: Navigating the Legal Landscape
• IoT in Sports: Enhancing Training and Audience Engagement
• Building Resilient IoT Systems against Cyber Attacks
• IoT for Waste Management: Innovations and System Implementations
• IoT in Agriculture: Drones and Sensors for Crop Monitoring
• The Role of IoT in Cultural Heritage Preservation: Monitoring and Maintenance
• Advanced Algorithms for Supervised and Unsupervised Learning
• Machine Learning in Genomics: Predicting Disease Propensity and Treatment Outcomes
• The Use of Neural Networks in Image Recognition and Analysis
• Reinforcement Learning: Applications in Robotics and Autonomous Systems
• The Role of Machine Learning in Natural Language Processing and Linguistic Analysis
• Deep Learning for Predictive Analytics in Business and Finance
• Machine Learning for Cybersecurity: Detection of Anomalies and Malware
• Ethical Considerations in Machine Learning: Bias and Fairness
• The Integration of Machine Learning with IoT for Smart Device Management
• Transfer Learning: Techniques and Applications in New Domains
• The Application of Machine Learning in Environmental Science
• Machine Learning in Healthcare: Diagnosing Conditions from Medical Images
• The Use of Machine Learning in Algorithmic Trading and Stock Market Analysis
• Machine Learning in Social Media: Sentiment Analysis and Trend Prediction
• Quantum Machine Learning: Merging Quantum Computing with AI
• Feature Engineering and Selection in Machine Learning
• Machine Learning for Enhancing User Experience in Mobile Applications
• The Impact of Machine Learning on Digital Marketing Strategies
• Machine Learning for Energy Consumption Forecasting and Optimization
• The Role of Machine Learning in Enhancing Network Security Protocols
• Scalability and Efficiency of Machine Learning Algorithms
• Machine Learning in Drug Discovery and Pharmaceutical Research
• The Application of Machine Learning in Sports Analytics
• Machine Learning for Real-Time Decision-Making in Autonomous Vehicles
• The Use of Machine Learning in Predicting Geographical and Meteorological Events
• Machine Learning for Educational Data Mining and Learning Analytics
• The Role of Machine Learning in Audio Signal Processing
• Predictive Maintenance in Manufacturing Through Machine Learning
• Machine Learning and Its Implications for Privacy and Surveillance
• The Application of Machine Learning in Augmented Reality Systems
• Deep Learning Techniques in Medical Diagnosis: Challenges and Opportunities
• The Use of Machine Learning in Video Game Development
• Machine Learning for Fraud Detection in Financial Services
• The Role of Machine Learning in Agricultural Optimization and Management
• The Impact of Machine Learning on Content Personalization and Recommendation Systems
• Machine Learning in Legal Tech: Document Analysis and Case Prediction
• Adaptive Learning Systems: Tailoring Education Through Machine Learning
• Machine Learning in Space Exploration: Analyzing Data from Space Missions
• Machine Learning for Public Sector Applications: Improving Services and Efficiency
• The Future of Machine Learning: Integrating Explainable AI
• Innovations in Convolutional Neural Networks for Image and Video Analysis
• Recurrent Neural Networks: Applications in Sequence Prediction and Analysis
• The Role of Neural Networks in Predicting Financial Market Trends
• Deep Neural Networks for Enhanced Speech Recognition Systems
• Neural Networks in Medical Imaging: From Detection to Diagnosis
• Generative Adversarial Networks (GANs): Applications in Art and Media
• The Use of Neural Networks in Autonomous Driving Technologies
• Neural Networks for Real-Time Language Translation
• The Application of Neural Networks in Robotics: Sensory Data and Movement Control
• Neural Network Optimization Techniques: Overcoming Overfitting and Underfitting
• The Integration of Neural Networks with Blockchain for Data Security
• Neural Networks in Climate Modeling and Weather Forecasting
• The Use of Neural Networks in Enhancing Internet of Things (IoT) Devices
• Graph Neural Networks: Applications in Social Network Analysis and Beyond
• The Impact of Neural Networks on Augmented Reality Experiences
• Neural Networks for Anomaly Detection in Network Security
• The Application of Neural Networks in Bioinformatics and Genomic Data Analysis
• Capsule Neural Networks: Improving the Robustness and Interpretability of Deep Learning
• The Role of Neural Networks in Consumer Behavior Analysis
• Neural Networks in Energy Sector: Forecasting and Optimization
• The Evolution of Neural Network Architectures for Efficient Learning
• The Use of Neural Networks in Sentiment Analysis: Techniques and Challenges
• Deep Reinforcement Learning: Strategies for Advanced Decision-Making Systems
• Neural Networks for Precision Medicine: Tailoring Treatments to Individual Genetic Profiles
• The Use of Neural Networks in Virtual Assistants: Enhancing Natural Language Understanding
• The Impact of Neural Networks on Pharmaceutical Research
• Neural Networks for Supply Chain Management: Prediction and Automation
• The Application of Neural Networks in E-commerce: Personalization and Recommendation Systems
• Neural Networks for Facial Recognition: Advances and Ethical Considerations
• The Role of Neural Networks in Educational Technologies
• The Use of Neural Networks in Predicting Economic Trends
• Neural Networks in Sports: Analyzing Performance and Strategy
• The Impact of Neural Networks on Digital Security Systems
• Neural Networks for Real-Time Video Surveillance Analysis
• The Integration of Neural Networks in Edge Computing Devices
• Neural Networks for Industrial Automation: Improving Efficiency and Accuracy
• The Future of Neural Networks: Towards More General AI Applications
• Neural Networks in Art and Design: Creating New Forms of Expression
• The Role of Neural Networks in Enhancing Public Health Initiatives
• The Future of Neural Networks: Challenges in Scalability and Generalization
• The Evolution of Programming Paradigms: Functional vs. Object-Oriented Programming
• Advances in Compiler Design and Optimization Techniques
• The Impact of Programming Languages on Software Security
• Developing Programming Languages for Quantum Computing
• Machine Learning in Automated Code Generation and Optimization
• The Role of Programming in Developing Scalable Cloud Applications
• The Future of Web Development: New Frameworks and Technologies
• Cross-Platform Development: Best Practices in Mobile App Programming
• The Influence of Programming Techniques on Big Data Analytics
• Real-Time Systems Programming: Challenges and Solutions
• The Integration of Programming with Blockchain Technology
• Programming for IoT: Languages and Tools for Device Communication
• Secure Coding Practices: Preventing Cyber Attacks through Software Design
• The Role of Programming in Data Visualization and User Interface Design
• Advances in Game Programming: Graphics, AI, and Network Play
• The Impact of Programming on Digital Media and Content Creation
• Programming Languages for Robotics: Trends and Future Directions
• The Use of Artificial Intelligence in Enhancing Programming Productivity
• Programming for Augmented and Virtual Reality: New Challenges and Techniques
• Ethical Considerations in Programming: Bias, Fairness, and Transparency
• The Future of Programming Education: Interactive and Adaptive Learning Models
• Programming for Wearable Technology: Special Considerations and Challenges
• The Evolution of Programming in Financial Technology
• Functional Programming in Enterprise Applications
• Memory Management Techniques in Programming: From Garbage Collection to Manual Control
• The Role of Open Source Programming in Accelerating Innovation
• The Impact of Programming on Network Security and Cryptography
• Developing Accessible Software: Programming for Users with Disabilities
• Programming Language Theories: New Models and Approaches
• The Challenges of Legacy Code: Strategies for Modernization and Integration
• Energy-Efficient Programming: Optimizing Code for Green Computing
• Multithreading and Concurrency: Advanced Programming Techniques
• The Impact of Programming on Computational Biology and Bioinformatics
• The Role of Scripting Languages in Automating System Administration
• Programming and the Future of Quantum Resistant Cryptography
• Code Review and Quality Assurance: Techniques and Tools
• Adaptive and Predictive Programming for Dynamic Environments
• The Role of Programming in Enhancing E-commerce Technology
• Programming for Cyber-Physical Systems: Bridging the Gap Between Digital and Physical
• The Influence of Programming Languages on Computational Efficiency and Performance
• Quantum Algorithms: Development and Applications Beyond Shor’s and Grover’s Algorithms
• The Role of Quantum Computing in Solving Complex Biological Problems
• Quantum Cryptography: New Paradigms for Secure Communication
• Error Correction Techniques in Quantum Computing
• Quantum Computing and Its Impact on Artificial Intelligence
• The Integration of Classical and Quantum Computing: Hybrid Models
• Quantum Machine Learning: Theoretical Foundations and Practical Applications
• Quantum Computing Hardware: Advances in Qubit Technology
• The Application of Quantum Computing in Financial Modeling and Risk Assessment
• Quantum Networking: Establishing Secure Quantum Communication Channels
• The Future of Drug Discovery: Applications of Quantum Computing
• Quantum Computing in Cryptanalysis: Threats to Current Cryptography Standards
• Simulation of Quantum Systems for Material Science
• Quantum Computing for Optimization Problems in Logistics and Manufacturing
• Theoretical Limits of Quantum Computing: Understanding Quantum Complexity
• Quantum Computing and the Future of Search Algorithms
• The Role of Quantum Computing in Climate Science and Environmental Modeling
• Quantum Annealing vs. Universal Quantum Computing: Comparative Studies
• Implementing Quantum Algorithms in Quantum Programming Languages
• The Impact of Quantum Computing on Public Key Cryptography
• Quantum Entanglement: Experiments and Applications in Quantum Networks
• Scalability Challenges in Quantum Processors
• The Ethics and Policy Implications of Quantum Computing
• Quantum Computing in Space Exploration and Astrophysics
• The Role of Quantum Computing in Developing Next-Generation AI Systems
• Quantum Computing in the Energy Sector: Applications in Smart Grids and Nuclear Fusion
• Noise and Decoherence in Quantum Computers: Overcoming Practical Challenges
• Quantum Computing for Predicting Economic Market Trends
• Quantum Sensors: Enhancing Precision in Measurement and Imaging
• The Future of Quantum Computing Education and Workforce Development
• Quantum Computing in Cybersecurity: Preparing for a Post-Quantum World
• Quantum Computing and the Internet of Things: Potential Intersections
• Practical Quantum Computing: From Theory to Real-World Applications
• Quantum Supremacy: Milestones and Future Goals
• The Role of Quantum Computing in Genetics and Genomics
• Quantum Computing for Material Discovery and Design
• The Challenges of Quantum Programming Languages and Environments
• Quantum Computing in Art and Creative Industries
• The Global Race for Quantum Computing Supremacy: Technological and Political Aspects
• Quantum Computing and Its Implications for Software Engineering
• Advances in Humanoid Robotics: New Developments and Challenges
• Robotics in Healthcare: From Surgery to Rehabilitation
• The Integration of AI in Robotics: Enhanced Autonomy and Learning Capabilities
• Swarm Robotics: Coordination Strategies and Applications
• The Use of Robotics in Hazardous Environments: Deep Sea and Space Exploration
• Soft Robotics: Materials, Design, and Applications
• Robotics in Agriculture: Automation of Farming and Harvesting Processes
• The Role of Robotics in Manufacturing: Increased Efficiency and Flexibility
• Ethical Considerations in the Deployment of Robots in Human Environments
• Autonomous Vehicles: Technological Advances and Regulatory Challenges
• Robotic Assistants for the Elderly and Disabled: Improving Quality of Life
• The Use of Robotics in Education: Teaching Science, Technology, Engineering, and Math (STEM)
• Robotics and Computer Vision: Enhancing Perception and Decision Making
• The Impact of Robotics on Employment and the Workforce
• The Development of Robotic Systems for Environmental Monitoring and Conservation
• Machine Learning Techniques for Robotic Perception and Navigation
• Advances in Robotic Surgery: Precision and Outcomes
• Human-Robot Interaction: Building Trust and Cooperation
• Robotics in Retail: Automated Warehousing and Customer Service
• Energy-Efficient Robots: Design and Utilization
• Robotics in Construction: Automation and Safety Improvements
• The Role of Robotics in Disaster Response and Recovery Operations
• The Application of Robotics in Art and Creative Industries
• Robotics and the Future of Personal Transportation
• Ethical AI in Robotics: Ensuring Safe and Fair Decision-Making
• The Use of Robotics in Logistics: Drones and Autonomous Delivery Vehicles
• Robotics in the Food Industry: From Production to Service
• The Integration of IoT with Robotics for Enhanced Connectivity
• Wearable Robotics: Exoskeletons for Rehabilitation and Enhanced Mobility
• The Impact of Robotics on Privacy and Security
• Robotic Pet Companions: Social Robots and Their Psychological Effects
• Robotics for Planetary Exploration and Colonization
• Underwater Robotics: Innovations in Oceanography and Marine Biology
• Advances in Robotics Programming Languages and Tools
• The Role of Robotics in Minimizing Human Exposure to Contaminants and Pathogens
• Collaborative Robots (Cobots): Working Alongside Humans in Shared Spaces
• The Use of Robotics in Entertainment and Sports
• Robotics and Machine Ethics: Programming Moral Decision-Making
• The Future of Military Robotics: Opportunities and Challenges
• Sustainable Robotics: Reducing the Environmental Impact of Robotic Systems
• Agile Methodologies: Evolution and Future Trends
• DevOps Practices: Improving Software Delivery and Lifecycle Management
• The Impact of Microservices Architecture on Software Development
• Containerization Technologies: Docker, Kubernetes, and Beyond
• Software Quality Assurance: Modern Techniques and Tools
• The Role of Artificial Intelligence in Automated Software Testing
• Blockchain Applications in Software Development and Security
• The Integration of Continuous Integration and Continuous Deployment (CI/CD) in Software Projects
• Cybersecurity in Software Engineering: Best Practices for Secure Coding
• Low-Code and No-Code Development: Implications for Professional Software Development
• The Future of Software Engineering Education
• Software Sustainability: Developing Green Software and Reducing Carbon Footprints
• The Role of Software Engineering in Healthcare: Telemedicine and Patient Data Management
• Privacy by Design: Incorporating Privacy Features at the Development Stage
• The Impact of Quantum Computing on Software Engineering
• Software Engineering for Augmented and Virtual Reality: Challenges and Innovations
• Cloud-Native Applications: Design, Development, and Deployment
• Software Project Management: Agile vs. Traditional Approaches
• Open Source Software: Community Engagement and Project Sustainability
• The Evolution of Graphical User Interfaces in Application Development
• The Challenges of Integrating IoT Devices into Software Systems
• Ethical Issues in Software Engineering: Bias, Accountability, and Regulation
• Software Engineering for Autonomous Vehicles: Safety and Regulatory Considerations
• Big Data Analytics in Software Development: Enhancing Decision-Making Processes
• The Future of Mobile App Development: Trends and Technologies
• The Role of Software Engineering in Artificial Intelligence: Frameworks and Algorithms
• Performance Optimization in Software Applications
• Adaptive Software Development: Responding to Changing User Needs
• Software Engineering in Financial Services: Compliance and Security Challenges
• User Experience (UX) Design in Software Engineering
• The Role of Software Engineering in Smart Cities: Infrastructure and Services
• The Impact of 5G on Software Development and Deployment
• Real-Time Systems in Software Engineering: Design and Implementation Challenges
• Cross-Platform Development Challenges: Ensuring Consistency and Performance
• Software Testing Automation: Tools and Trends
• The Integration of Cyber-Physical Systems in Software Engineering
• Software Engineering in the Entertainment Industry: Game Development and Beyond
• The Application of Machine Learning in Predicting Software Bugs
• The Role of Software Engineering in Cybersecurity Defense Strategies
• Accessibility in Software Engineering: Creating Inclusive and Usable Software
• Progressive Web Apps (PWAs): Advantages and Implementation Challenges
• The Future of Web Accessibility: Standards and Practices
• Single-Page Applications (SPAs) vs. Multi-Page Applications (MPAs): Performance and Usability
• The Impact of Serverless Computing on Web Development
• The Evolution of CSS for Modern Web Design
• Security Best Practices in Web Development: Defending Against XSS and CSRF Attacks
• The Role of Web Development in Enhancing E-commerce User Experience
• The Use of Artificial Intelligence in Web Personalization and User Engagement
• The Future of Web APIs: Standards, Security, and Scalability
• Responsive Web Design: Techniques and Trends
• JavaScript Frameworks: Vue.js, React.js, and Angular – A Comparative Analysis
• Web Development for IoT: Interfaces and Connectivity Solutions
• The Impact of 5G on Web Development and User Experiences
• The Use of Blockchain Technology in Web Development for Enhanced Security
• Web Development in the Cloud: Using AWS, Azure, and Google Cloud
• Content Management Systems (CMS): Trends and Future Developments
• The Application of Web Development in Virtual and Augmented Reality
• The Importance of Web Performance Optimization: Tools and Techniques
• Sustainable Web Design: Practices for Reducing Energy Consumption
• The Role of Web Development in Digital Marketing: SEO and Social Media Integration
• Headless CMS: Benefits and Challenges for Developers and Content Creators
• The Future of Web Typography: Design, Accessibility, and Performance
• Web Development and Data Protection: Complying with GDPR and Other Regulations
• Real-Time Web Communication: Technologies like WebSockets and WebRTC
• Front-End Development Tools: Efficiency and Innovation in Workflow
• The Challenges of Migrating Legacy Systems to Modern Web Architectures
• Microfrontends Architecture: Designing Scalable and Decoupled Web Applications
• The Impact of Cryptocurrencies on Web Payment Systems
• User-Centered Design in Web Development: Methods for Engaging Users
• The Role of Web Development in Business Intelligence: Dashboards and Reporting Tools
• Web Development for Mobile Platforms: Optimization and Best Practices
• The Evolution of E-commerce Platforms: From Web to Mobile Commerce
• Web Security in E-commerce: Protecting Transactions and User Data
• Dynamic Web Content: Server-Side vs. Client-Side Rendering
• The Future of Full Stack Development: Trends and Skills
• Web Design Psychology: How Design Influences User Behavior
• The Role of Web Development in the Non-Profit Sector: Fundraising and Community Engagement
• The Integration of AI Chatbots in Web Development
• The Use of Motion UI in Web Design: Enhancing Aesthetics and User Interaction
• The Future of Web Development: Predictions and Emerging Technologies

We trust that this comprehensive list of computer science thesis topics will serve as a valuable starting point for your research endeavors. With 1000 unique and carefully selected topics distributed across 25 key areas of computer science, students are equipped to tackle complex questions and contribute meaningful advancements to the field. As you proceed to select your thesis topic, consider not only your personal interests and career goals but also the potential impact of your research. We encourage you to explore these topics thoroughly and choose one that will not only challenge you but also push the boundaries of technology and innovation.

The Range of Computer Science Thesis Topics

Computer science stands as a dynamic and ever-evolving field that continuously reshapes how we interact with the world. At its core, the discipline encompasses not just the study of algorithms and computation, but a broad spectrum of practical and theoretical knowledge areas that drive innovation in various sectors. This article aims to explore the rich landscape of computer science thesis topics, offering students and researchers a glimpse into the potential areas of study that not only challenge the intellect but also contribute significantly to technological progress. As we delve into the current issues, recent trends, and future directions of computer science, it becomes evident that the possibilities for research are both vast and diverse. Whether you are intrigued by the complexities of artificial intelligence, the robust architecture of networks and systems, or the innovative approaches in cybersecurity, computer science offers a fertile ground for developing thesis topics that are as impactful as they are intellectually stimulating.

Current Issues in Computer Science

One of the prominent current issues in computer science revolves around data security and privacy. As digital transformation accelerates across industries, the massive influx of data generated poses significant challenges in terms of its protection and ethical use. Cybersecurity threats have become more sophisticated, with data breaches and cyber-attacks causing major concerns for organizations worldwide. This ongoing battle demands continuous improvements in security protocols and the development of robust cybersecurity measures. Computer science thesis topics in this area can explore new cryptographic methods, intrusion detection systems, and secure communication protocols to fortify digital defenses. Research could also delve into the ethical implications of data collection and use, proposing frameworks that ensure privacy while still leveraging data for innovation.

Another critical issue facing the field of computer science is the ethical development and deployment of artificial intelligence (AI) systems. As AI technologies become more integrated into daily life and critical infrastructure, concerns about bias, fairness, and accountability in AI systems have intensified. Thesis topics could focus on developing algorithms that address these ethical concerns, including techniques for reducing bias in machine learning models and methods for increasing transparency and explainability in AI decisions. This research is crucial for ensuring that AI technologies promote fairness and do not perpetuate or exacerbate existing societal inequalities.

Furthermore, the rapid pace of technological change presents a challenge in terms of sustainability and environmental impact. The energy consumption of large data centers, the carbon footprint of producing and disposing of electronic waste, and the broader effects of high-tech innovations on the environment are significant concerns within computer science. Thesis research in this domain could focus on creating more energy-efficient computing methods, developing algorithms that reduce power consumption, or innovating recycling technologies that address the issue of e-waste. This research not only contributes to the field of computer science but also plays a crucial role in ensuring that technological advancement does not come at an unsustainable cost to the environment.

These current issues highlight the dynamic nature of computer science and its direct impact on society. Addressing these challenges through focused research and innovative thesis topics not only advances the field but also contributes to resolving some of the most pressing problems facing our global community today.

Recent Trends in Computer Science

In recent years, computer science has witnessed significant advancements in the integration of artificial intelligence (AI) and machine learning (ML) across various sectors, marking one of the most exciting trends in the field. These technologies are not just reshaping traditional industries but are also at the forefront of driving innovations in areas like healthcare, finance, and autonomous systems. Thesis topics within this trend could explore the development of advanced ML algorithms that enhance predictive analytics, improve automated decision-making, or refine natural language processing capabilities. Additionally, AI’s role in ethical decision-making and its societal impacts offers a rich vein of inquiry for research, focusing on mitigating biases and ensuring that AI systems operate transparently and justly.

Another prominent trend in computer science is the rapid growth of blockchain technology beyond its initial application in cryptocurrencies. Blockchain is proving its potential in creating more secure, decentralized, and transparent networks for a variety of applications, from enhancing supply chain logistics to revolutionizing digital identity verification processes. Computer science thesis topics could investigate novel uses of blockchain for ensuring data integrity in digital transactions, enhancing cybersecurity measures, or even developing new frameworks for blockchain integration into existing technological infrastructures. The exploration of blockchain’s scalability, speed, and energy consumption also presents critical research opportunities that are timely and relevant.

Furthermore, the expansion of the Internet of Things (IoT) continues to be a significant trend, with more devices becoming connected every day, leading to increasingly smart environments. This proliferation poses unique challenges and opportunities for computer science research, particularly in terms of scalability, security, and new data management strategies. Thesis topics might focus on optimizing network protocols to handle the massive influx of data from IoT devices, developing solutions to safeguard against IoT-specific security vulnerabilities, or innovative applications of IoT in urban planning, smart homes, or healthcare. Research in this area is crucial for advancing the efficiency and functionality of IoT systems and for ensuring they can be safely and effectively integrated into modern life.

These recent trends underscore the vibrant and ever-evolving nature of computer science, reflecting its capacity to influence and transform an array of sectors through technological innovation. The continual emergence of new research topics within these trends not only enriches the academic discipline but also provides substantial benefits to society by addressing practical challenges and enhancing the capabilities of technology in everyday life.

Future Directions in Computer Science

As we look toward the future, one of the most anticipated areas in computer science is the advancement of quantum computing. This emerging technology promises to revolutionize problem-solving in fields that require immense computational power, such as cryptography, drug discovery, and complex system modeling. Quantum computing has the potential to process tasks at speeds unachievable by classical computers, offering breakthroughs in materials science and encryption methods. Computer science thesis topics might explore the theoretical underpinnings of quantum algorithms, the development of quantum-resistant cryptographic systems, or practical applications of quantum computing in industry-specific scenarios. Research in this area not only contributes to the foundational knowledge of quantum mechanics but also paves the way for its integration into mainstream computing, marking a significant leap forward in computational capabilities.

Another promising direction in computer science is the advancement of autonomous systems, particularly in robotics and vehicle automation. The future of autonomous technologies hinges on improving their safety, reliability, and decision-making processes under uncertain conditions. Thesis topics could focus on the enhancement of machine perception through computer vision and sensor fusion, the development of more sophisticated AI-driven decision frameworks, or ethical considerations in the deployment of autonomous systems. As these technologies become increasingly prevalent, research will play a crucial role in addressing the societal and technical challenges they present, ensuring their beneficial integration into daily life and industry operations.

Additionally, the ongoing expansion of artificial intelligence applications poses significant future directions for research, especially in the realm of AI ethics and policy. As AI systems become more capable and widespread, their impact on privacy, employment, and societal norms continues to grow. Future thesis topics might delve into the development of guidelines and frameworks for responsible AI, studies on the impact of AI on workforce dynamics, or innovations in transparent and fair AI systems. This research is vital for guiding the ethical evolution of AI technologies, ensuring they enhance societal well-being without diminishing human dignity or autonomy.

These future directions in computer science not only highlight the field’s potential for substantial technological advancements but also underscore the importance of thoughtful consideration of their broader implications. By exploring these areas in depth, computer science research can lead the way in not just technological innovation, but also in shaping a future where technology and ethics coexist harmoniously for the betterment of society.

In conclusion, the field of computer science is not only foundational to the technological advancements that characterize the modern age but also crucial in solving some of the most pressing challenges of our time. The potential thesis topics discussed in this article reflect a mere fraction of the opportunities that lie in the realms of theory, application, and innovation within this expansive field. As emerging technologies such as quantum computing, artificial intelligence, and blockchain continue to evolve, they open new avenues for research that could potentially redefine existing paradigms. For students embarking on their thesis journey, it is essential to choose a topic that not only aligns with their academic passions but also contributes to the ongoing expansion of computer science knowledge. By pushing the boundaries of what is known and exploring uncharted territories, students can leave a lasting impact on the field and pave the way for future technological breakthroughs. As we look forward, it’s clear that computer science will continue to be a key driver of change, making it an exciting and rewarding area for academic and professional growth.

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Home > Colleges and Schools > Sciences > Computer Science > ETDs

Computer Science Theses & Dissertations

Theses and dissertations published by graduate students in the Department of Computer Science, College of Sciences, Old Dominion University, since Fall 2016 are available in this collection. Backfiles of all dissertations (and some theses) have also been added.

In late Fall 2025, all theses will be digitized and available here. In the meantime, consult the Library Catalog to find older items in print.

Theses/Dissertations from 2024 2024

Thesis: Study of Deep Learning Models to Classify Nasa’s Kepler Light Curves , Heena Minnich

Theses/Dissertations from 2023 2023

Dissertation: Inverse Mappers for QCD Global Analysis , Manal Almaeen

Thesis: Assessing the Prevalence and Archival Rate of URIs to Git Hosting Platforms in Scholarly Publications , Emily Escamilla

Thesis: Supporting Account-based Queries for Archived Instagram Posts , Himarsha R. Jayanetti

Dissertation: Detecting Malware With Securedeep Accelerator via Processor Side-Channel Fingerprinting for Internet of Things , Zhuoran Li

Dissertation: Tracing and Segmentation of Molecular Patterns in 3-Dimensional Cryo-ET/EM Density Maps Through Algorithmic Image Processing and Deep Learning-Based Techniques , Salim Sazzed

Dissertation: Towards Intelligent Runtime Framework for Distributed Heterogeneous Systems , Polykarpos Thomadakis

Theses/Dissertations from 2022 2022

Dissertation: Machine Learning-Based Event Generator , Yasir Alanazi

Thesis: Using Ensemble Learning Techniques to Solve the Blind Drift Calibration Problem , Devin Scott Drake

Dissertation: A Relevance Model for Threat-Centric Ranking of Cybersecurity Vulnerabilities , Corren G. McCoy

Dissertation: Evaluation of Generative Models for Predicting Microstructure Geometries in Laser Powder Bed Fusion Additive Manufacturing , Andy Ramlatchan

Thesis: TransParsCit: A Transformer-Based Citation Parser Trained on Large-Scale Synthesized Data , MD Sami Uddin

Dissertation: Towards Privacy and Security Concerns of Adversarial Examples in Deep Hashing Image Retrieval , Yanru Xiao

Theses/Dissertations from 2021 2021

Dissertation: MOVE: Mobile Observers Variants and Extensions , Ryan Florin

Dissertation: Improving Collection Understanding for Web Archives with Storytelling: Shining Light Into Dark and Stormy Archives , Shawn M. Jones

Dissertation: A Unified Framework for Parallel Anisotropic Mesh Adaptation , Christos Tsolakis

Theses/Dissertations from 2020 2020

Dissertation: MementoMap: A Web Archive Profiling Framework for Efficient Memento Routing , Sawood Alam

Dissertation: A Framework for Verifying the Fixity of Archived Web Resources , Mohamed Aturban

Thesis: Parallelization of the Advancing Front Local Reconnection Mesh Generation Software Using a Pseudo-Constrained Parallel Data Refinement Method , Kevin Mark Garner Jr.

Dissertation: Towards Dynamic Vehicular Clouds , Aida Ghazizadeh

Dissertation: Bootstrapping Web Archive Collections From Micro-Collections in Social Media , Alexander C. Nwala

Dissertation: Automatic Linear and Curvilinear Mesh Generation Driven by Validity Fidelity and Topological Guarantees , Jing Xu

Theses/Dissertations from 2019 2019

Dissertation: Expanding the Usage of Web Archives by Recommending Archived Webpages Using Only the URI , Lulwah M. Alkwai

Dissertation: Highly Accurate Fragment Library for Protein Fold Recognition , Wessam Elhefnawy

Dissertation: Scalable Parallel Delaunay Image-to-Mesh Conversion for Shared and Distributed Memory Architectures , Daming Feng

Dissertation: Aggregating Private and Public Web Archives Using the Mementity Framework , Matthew R. Kelly

Thesis: Enhancing Portability in High Performance Computing: Designing Fast Scientific Code with Longevity , Jason Orender

Thesis: Novel Use of Neural Networks to Identify and Detect Electrical Infrastructure Performance , Evan Pierre Savaria

Theses/Dissertations from 2018 2018

Dissertation: New Methods to Improve Protein Structure Modeling , Maha Abdelrasoul

Dissertation: Applying Machine Learning to Advance Cyber Security: Network Based Intrusion Detection Systems , Hassan Hadi Latheeth AL-Maksousy

Thesis: To Relive the Web: A Framework for the Transformation and Archival Replay of Web Pages , John Andrew Berlin

Thesis: Supporting Big Data at the Vehicular Edge , Lloyd Decker

Thesis: Deep Learning for Segmentation Of 3D Cryo-EM Images , Devin Reid Haslam

Dissertation: FlexStream: SDN-Based Framework for Programmable and Flexible Adaptive Video Streaming , Ibrahim Ben Mustafa

Thesis: Novel Technique for Gait Analysis Using Two Waist Mounted Gyroscopes , Ahmed Nasr

Dissertation: Leveraging Resources on Anonymous Mobile Edge Nodes , Ahmed Salem

Theses/Dissertations from 2017 2017

Dissertation: SenSys: A Smartphone-Based Framework for ITS applications , Abdulla Ahmed Alasaadi

Dissertation: ItsBlue: A Distributed Bluetooth-Based Framework for Intelligent Transportation Systems , Ahmed Awad Alghamdi

Dissertation: Finite Element Modeling Driven by Health Care and Aerospace Applications , Fotios Drakopoulos

Dissertation: Efficient Machine Learning Approach for Optimizing Scientific Computing Applications on Emerging HPC Architectures , Kamesh Arumugam Karunanithi

Thesis: Multi-GPU Accelerated High-Fidelity Simulations of Beam-Beam Effects in Particle Colliders , Naga Sai Ravi Teja Majeti

Theses/Dissertations from 2016 2016

Dissertation: Using Web Archives to Enrich the Live Web Experience Through Storytelling , Yasmin AlNoamany

Thesis: Magnopark, Smart Parking Detection Based on Cellphone Magnetic Sensor , Maryam Arab

Dissertation: Scripts in a Frame: A Framework for Archiving Deferred Representations , Justin F. Brunelle

Dissertation: Machine Learning Methods for Brain Image Analysis , Ahmed Fakhry

Dissertation: Novel Monte Carlo Methods for Large-Scale Linear Algebra Operations , Hao Ji

Dissertation: Machine Learning Methods for Medical and Biological Image Computing , Rongjian Li

Dissertation: Toward Open and Programmable Wireless Network Edge , Mostafa Uddin

Thesis: An Optimized Multiple Right-Hand Side Dslash Kernel for Intel Xeon Phi , Aaron Walden

Dissertation: Towards Aggregating Time-Discounted Information in Sensor Networks , Xianping Wang

Dissertation: A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications , Wenlu Zhang

Theses/Dissertations from 2015 2015

Dissertation: Efficient Algorithms for Prokaryotic Whole Genome Assembly and Finishing , Abhishek Biswas

Dissertation: De Novo Protein Structure Modeling and Energy Function Design , Lin Chen

Dissertation: High Performance Large Graph Analytics by Enhancing Locality , Naga Shailaja Dasari

Thesis: Avoiding Spoilers on Mediawiki Fan Sites Using Memento , Shawn M. Jones

Dissertation: Energy Harvesting-Aware Design for Wireless Nanonetworks , Shahram Mohrehkesh

Thesis: Parallel Two-Dimensional Unstructured Anisotropic Delaunay Mesh Generation for Aerospace Applications , Juliette Kelly Pardue

Dissertation: Detecting, Modeling, and Predicting User Temporal Intention , Hany M. SalahEldeen

Dissertation: Wireless Networking for Vehicle to Infrastructure Communication and Automatic Incident Detection , Sarwar Aziz Sha-Mohammad

Dissertation: Computational Development for Secondary Structure Detection From Three-Dimensional Images of Cryo-Electron Microscopy , Dong Si

Thesis: Mobile Cloud Computing Based Non Rigid Registration for Image Guided Surgery , Arun Brahmavar Vishwanatha

Theses/Dissertations from 2014 2014

Dissertation: Web Archive Services Framework for Tighter Integration Between the Past and Present Web , Ahmed AlSum

Dissertation: Modeling Stem Cell Population Dynamics , Samiur Arif

Dissertation: A Framework for Web Object Self-Preservation , Charles L. Cartledge

Dissertation: Document Classification in Support of Automated Metadata Extraction Form Heterogeneous Collections , Paul K. Flynn

Dissertation: Resource Allocation in Vehicular Cloud Computing , Puya Ghazizadeh

Thesis: Generating Combinatorial Objects- A New Perspective , Alexander Chizoma Nwala

Dissertation: Enhancing Understanding of Discrete Event Simulation Models Through Analysis , Kara Ann Olson

Dissertation: Scalable Reasoning for Knowledge Bases Subject to Changes , Hui Shi

Dissertation: Improving Structural Features Prediction in Protein Structure Modeling , Ashraf Yaseen

Thesis: Computational Analysis of Gene Expression and Connectivity Patterns in the Convoluted Structures of Mouse Cerebellum , Tao Zeng

Theses/Dissertations from 2013 2013

Thesis: HTTP Mailbox - Asynchronous Restful Communication , Sawood Alam

Dissertation: TDMA Slot Reservation in Cluster-Based VANETs , Mohammad Salem Almalag

Thesis: Protein Loop Length Estimation From Medium Resolution Cryoem Images , Andrew R. McKnight

Theses/Dissertations from 2012 2012

Dissertation: De Novo Protein Structure Modeling from Cryoem Data Through a Dynamic Programming Algorithm in the Secondary Structure Topology Graph , Kamal H. Al Nasr

Dissertation: FRIEND: A Cyber-Physical System for Traffic Flow Related Information Aggregation and Dissemination , Samy S. El-Tawab

Thesis: An Extensible Framework for Creating Personal Archives of Web Resources Requiring Authentication , Matthew Ryan Kelly

Thesis: Visualizing Digital Collections at Archive-It , Kalpesh Padia

Theses/Dissertations from 2011 2011

Dissertation: A Framework for Incident Detection and notification in Vehicular Ad-Hoc Networks , Mahmoud Abuelela

Dissertation: A Framework for Dynamic Traffic Monitoring Using Vehicular Ad-Hoc Networks , Mohammad Hadi Arbabi

Thesis: A Probabilistic Analysis of Misparking in Reservation Based Parking Garages , Vikas G. Ashok

Thesis: A Penalty-Based Approach to Handling Cluster Sizing in Mobile Ad Hoc Networks , Ryan Florin

Dissertation: Data Aggregation and Dissemination in Vehicular Ad-Hoc Networks , Khaled Ibrahim

Dissertation: Using the Web Infrastructure for Real Time Recovery of Missing Web Pages , Martin Klein

Theses/Dissertations from 2010 2010

Dissertation: A Virtual Infrastructure for Mitigating Typical Challenges in Sensor Networks , Hady S. Abdel Salam

Thesis: Merging Schemas in a Collaborative Faceted Classification System , Jianxiang Li

Thesis: XPath-Based Template Language for Describing the Placement of Metadata within a Document , Vijay Kumar Musham

Dissertation: Providing Location Security in Vehicular Ad Hoc Networks , Gongjun Yan

Theses/Dissertations from 2009 2009

Dissertation: Algorithms for Vertex-Weighted Matching in Graphs , Mahantesh Halappanavar

Theses/Dissertations from 2008 2008

Thesis: Using Timed-Release Cryptography to Mitigate Preservation Risk of Embargo Periods , Rabia Haq

Dissertation: Biology-Inspired Approach for Communal Behavior in Massively Deployed Sensor Networks , Kennie H. Jones

Dissertation: Biological Networks: Modeling and Structural Analysis , Emad Y. Ramadan

Dissertation: Integrating Preservation Functions Into the Web Server , Joan A. Smith

Theses/Dissertations from 2007 2007

Dissertation: FreeLib: A Self-Sustainable Peer-to-Peer Digital Library Framework for Evolving Communities , Ashraf A. Amrou

Thesis: Channel Management in Heterogeneous Cellular Networks , Mohammad Hadi Arbabi

Dissertation: Diagnosing Reading strategies: Paraphrase Recognition , Chutima Boonthum

Thesis: Investigating Real-Time Sonar Performance Predictions Using Beowulf Clustering , Charles Lane Cartledge

Dissertation: Lazy Preservation: Reconstructing Websites from the Web Infrastructure , Frank McCown

Theses/Dissertations from 2006 2006

Dissertation: Group Key Management in Wireless Ad-Hoc and Sensor Networks , Mohammed A. Moharrum

Dissertation: Template-Based Metadata Extraction for Heterogeneous Collection , Jianfeng Tang

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Home > Computer Science > CompSci TDs > Masters Theses

Computer Science Masters Theses

Theses from 2024 2024.

Enabling Smart Healthcare Applications Through Visible Light Communication Networks , Jack Manhardt

Time series anomaly detection using generative adversarial networks , Shyam Sundar Saravanan

Learn from the Past: using Peer Data to Improve Course Recommendations in Personalized Education , Colton Walker

Theses from 2023 2023

Dynamic Discounted Satisficing Based Driver Decision Prediction in Sequential Taxi Requests , Sree Pooja Akula

MAT: Genetic Algorithms Based Multi-Objective Adversarial Attack on Multi-Task Deep Neural Networks , Nikola Andric

Computer Vision in Adverse Conditions: Small Objects, Low-Resoltuion Images, and Edge Deployment , Raja Sunkara

Theses from 2022 2022

Maximising social welfare in selfish multi-modal routing using strategic information design for quantal response travelers , Sainath Sanga

Man-in-the-Middle Attacks on MQTT based IoT networks , Henry C. Wong

Theses from 2021 2021

Biochemical assay invariant attestation for the security of cyber-physical digital microfluidic biochips , Fredrick Eugene Love II

Theses from 2020 2020

On predicting stopping time of human sequential decision-making using discounted satisficing heuristic , Mounica Devaguptapu

Theses from 2019 2019

Advanced techniques for improving canonical genetic programming , Adam Tyler Harter

Evolved parameterized selection for evolutionary algorithms , Samuel Nathan Richter

Design and implementation of applications over delay tolerant networks for disaster and battlefield environment , Karthikeyan Sachidanandam

Theses from 2018 2018

Mixed-criticality real-time task scheduling with graceful degradation , Samsil Arefin

CARD: Concealed and remote discovery of IoT devices in victims' home networks , Sammie Lee Bush

Multiple security domain non deducibility in the FREEDM smart grid infrastructure , Manish Jaisinghani

Reputation and credit based incentive mechanism for data-centric message delivery in delay tolerant networks , Himanshu Jethawa

Solidification rate detection through solid-liquid interface tracking , Wei Luo

Cloud transactions and caching for improved performance in clouds and DTNs , Dileep Mardham

Cyber-physical security of an electric microgrid , Prashanth Palaniswamy

An approach for formal analysis of the security of a water treatment testbed , Sai Sidharth Patlolla

Analyzing large scale trajectory data to identify users with similar behavior , Tyler Clark Percy

Precise energy efficient scheduling of mixed-criticality tasks & sustainable mixed-criticality scheduling , Sai Sruti

A network tomography approach for traffic monitoring in smart cities , Ruoxi Zhang

Improved CRPD analysis and a secure scheduler against information leakage in real-time systems , Ying Zhang

Theses from 2017 2017

Cyber-physical security of a chemical plant , Prakash Rao Dunaka

UFace: Your universal password no one can see , Nicholas Steven Hilbert

Multi stage recovery from large scale failure in interdependent networks , Maria Angelin John Bosco

Multiple security domain model of a vehicle in an automated vehicle system , Uday Ganesh Kanteti

Personalizing education with algorithmic course selection , Tyler Morrow

Decodable network coding in wireless network , Junwei Su

Multiple security domain nondeducibility air traffic surveillance systems , Anusha Thudimilla

Theses from 2016 2016

Automated design of boolean satisfiability solvers employing evolutionary computation , Alex Raymond Bertels

Care-Chair: Opportunistic health assessment with smart sensing on chair backrest , Rakesh Kumar

Theses from 2015 2015

Dependability analysis and recovery support for smart grids , Isam Abdulmunem Alobaidi

Sensor authentication in collaborating sensor networks , Jake Uriah Bielefeldt

Argumentation based collaborative software architecture design and intelligent analysis of software architecture rationale , NagaPrashanth Chanda

A Gaussian mixture model for automated vesicle fusion detection and classification , Haohan Li

Hyper-heuristics for the automated design of black-box search algorithms , Matthew Allen Martin

Aerial vehicle trajectory design for spatio-temporal task satisfaction and aggregation based on utility metric , Amarender Reddy Mekala

Design and implementation of a broker for cloud additive manufacturing services , Venkata Prashant Modekurthy

Cyber security research frameworks for coevolutionary network defense , George Daniel Rush

Energy disaggregation in NIALM using hidden Markov models , Anusha Sankara

Theses from 2014 2014

Crime pattern detection using online social media , Raja Ashok Bolla

Energy efficient scheduling and allocation of tasks in sensor cloud , Rashmi Dalvi

A cloud brokerage architecture for efficient cloud service selection , Venkata Nagarjuna Dondapati

Access control delegation in the clouds , Pavani Gorantla

Evolving decision trees for the categorization of software , Jasenko Hosic

M-Grid : A distributed framework for multidimensional indexing and querying of location based big data , Shashank Kumar

Privacy preservation using spherical chord , Doyal Tapan Mukherjee

Top-K with diversity-M data retrieval in wireless sensor networks , Kiran Kumar Puram

On temporal and frequency responses of smartphone accelerometers for explosives detection , Srinivas Chakravarthi Thandu

Efficient data access in mobile cloud computing , Siva Naga Venkata Chaitanya Vemulapalli

An empirical study on symptoms of heavier internet usage among young adults , SaiPreethi Vishwanathan

Theses from 2013 2013

Sybil detection in vehicular networks , Muhammad Ibrahim Almutaz

Argumentation placement recommendation and relevancy assessment in an intelligent argumentation system , Nian Liu

Security analysis of a cyber physical system : a car example , Jason Madden

Efficient integrity verification of replicated data in cloud , Raghul Mukundan

Search-based model summarization , Lokesh Krishna Ravichandran

Hybridizing and applying computational intelligence techniques , Jeffery Scott Shelburg

Secure design defects detection and correction , Wenquan Wang

Theses from 2012 2012

Robust evolutionary algorithms , Brian Wesley Goldman

Semantic preserving text tepresentation and its applications in text clustering , Michael Howard

Vehicle path verification using wireless sensor networks , Gerry W. Howser

Distributed and collaborative watermarking in relational data , Prakash Kumar

Theses from 2011 2011

A social network of service providers for trust and identity management in the Cloud , Makarand Bhonsle

Adaptive rule-based malware detection employing learning classifier systems , Jonathan Joseph Blount

A low-cost motion tracking system for virtual reality applications , Abhinav Chadda

Optimization of textual affect entity relation models , Ajith Cherukad Jose

MELOC - memory and location optimized caching for mobile Ad hoc networks , Lekshmi Manian Chidambaram

A framework for transparent depression classification in college settings via mining internet usage patterns , Raghavendra Kotikalapudi

An incentive based approach to detect selfish nodes in Mobile P2P network , Hemanth Meka

Location privacy policy management system , Arej Awodha Muhammed

Exploring join caching in programming codes to reduce runtime execution , Swetha Surapaneni

Theses from 2010 2010

Event detection from click-through data via query clustering , Prabhu Kumar Angajala

Population control in evolutionary algorithms , Jason Edward Cook

Dynamic ant colony optimization for globally optimizing consumer preferences , Pavitra Dhruvanarayana

EtherAnnotate: a transparent malware analysis tool for integrating dynamic and static examination , Joshua Michael Eads

Representation and validation of domain and range restrictions in a relational database driven ontology maintenance system , Patrick Garrett. Edgett

Cloud security requirements analysis and security policy development using a high-order object-oriented modeling technique , Kenneth Kofi Fletcher

Multi axis slicing for rapid prototyping , Divya Kanakanala

Content based image retrieval for bio-medical images , Vikas Nahar

2-D path planning for direct laser deposition process , Swathi Routhu

Contribution-based priority assessment in a web-based intelligent argumentation network for collaborative software development , Maithili Satyavolu

An artificial life approach to evolutionary computation: from mobile cellular algorithms to artificial ecosystems , Shivakar Vulli

Intelligent computational argumentation for evaluating performance scores in multi-criteria decision making , Rubal Wanchoo

Minimize end-to-end delay through cross-layer optimization in multi-hop wireless sensor networks , Yibo Xu

Theses from 2009 2009

Information flow properties for cyber-physical systems , Rav Akella

Exploring the use of a commercial game engine for the development of educational software , Hussain Alafaireet

Automated offspring sizing in evolutionary algorithms , André Chidi Nwamba

Theses from 2008 2008

Image analysis techniques for vertebra anomaly detection in X-ray images , Mohammed Das

Cross-layer design through joint routing and link allocation in wireless sensor networks , Xuan Gong

A time series classifier , Christopher Mark Gore

An economic incentive based routing protocol incorporating quality of service for mobile peer-to-peer networks , Anil Jade

Incorporation of evidences in an intelligent argumentation network for collaborative engineering design , Ekta Khudkhudia

PrESerD - Privacy ensured service discovery in mobile peer-to-peer environment , Santhosh Muthyapu

Co-optimization: a generalization of coevolution , Travis Service

Critical infrastructure protection and the Domain Name Service (DNS) system , Mark Edward Snyder

Co-evolutionary automated software correction: a proof of concept , Joshua Lee Wilkerson

Theses from 2007 2007

A light-weight middleware framework for fault-tolerant and secure distributed applications , Ian Jacob Baird

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Home > FACULTIES > Computer Science > CSD-ETD

Computer Science Theses and Dissertations

This collection contains theses and dissertations from the Department of Computer Science, collected from the Scholarship@Western Electronic Thesis and Dissertation Repository

Theses/Dissertations from 2024 2024

ASSESSMENT OF AI-GENERATED IMAGES USING COMPUTATIONAL METRICS AND HUMAN CENTRIC ANALYSIS , Memoona Aziz Ms.

Approximation Algorithms for High Multiplicity Strip Packing, Thief Orienteering, and K-Median , Andrew Bloch-Hansen

A Target-Based and A Targetless Extrinsic Calibration Methods for Thermal Camera and 3D LiDAR , Farhad Dalirani

Efficient Algorithms and Parallel Implementations for Power Series Multiplication , Seyed Abdol Hamid Fathi

Understanding Protein Deep Learning Models through Explainability , Zahra Fazel

Using Driver Gaze and On-Road Driving Data for Predicting Driver Maneuvers in Advanced Driving Assistance Systems , Farzan Heidari

Protein-Protein Interaction Prediction , SeyedMohsen Hosseini

Container Migration: A Perfomance Evaluation Between MIGrror AND Pre-copy , Xinwen Liang

UTILIZING MACHINE LEARNING TECHNIQUES FOR DISPERSION MEASURE ESTIMATION IN FAST RADIO BURSTS STUDIES , Hosein Rajabi

Investigating Tree- and Graph-based Neural Networks for Natural Language Processing Applications , Sudipta Singha Roy

Framework for Bug Inducing Commit Prediction Using Quality Metrics , Alireza Tavakkoli Barzoki

Knowledge-grounded Natural Language Understanding of Biomedical and Clinical Literature , Xindi Wang

Theses/Dissertations from 2023 2023

Classification of DDoS Attack with Machine Learning Architectures and Exploratory Analysis , Amreen Anbar

Multi-view Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces , Sepehr Asgarian

Improved Protein Sequence Alignments Using Deep Learning , Seyed Sepehr Ashrafzadeh

INVESTIGATING IMPROVEMENTS TO MESH INDEXING , Anurag Bhattacharjee

Algorithms and Software for Oligonucleotide Design , Qin Dong

Framework for Assessing Information System Security Posture Risks , Syed Waqas Hamdani

De novo sequencing of multiple tandem mass spectra of peptide containing SILAC labeling , Fang Han

Local Model Agnostic XAI Methodologies Applied to Breast Cancer Malignancy Predictions , Heather Hartley

A Quantitative Analysis Between Software Quality Posture and Bug-fixing Commit , Rongji He

A Novel Method for Assessment of Batch Effect on single cell RNA sequencing data , Behnam Jabbarizadeh

Dynamically Finding Optimal Kernel Launch Parameters for CUDA Programs , Taabish Jeshani

Citation Polarity Identification From Scientific Articles Using Deep Learning Methods , Souvik Kundu

Denoising-Based Domain Adaptation Network for EEG Source Imaging , Runze Li

Decoy-Target Database Strategy and False Discovery Rate Analysis for Glycan Identification , Xiaoou Li

DpNovo: A DEEP LEARNING MODEL COMBINED WITH DYNAMIC PROGRAMMING FOR DE NOVO PEPTIDE SEQUENCING , Yizhou Li

Developing A Smart Home Surveillance System Using Autonomous Drones , Chongju Mai

Look-Ahead Selective Plasticity for Continual Learning , Rouzbeh Meshkinnejad

The Two Visual Processing Streams Through The Lens Of Deep Neural Networks , Aidasadat Mirebrahimi Tafreshi

Source-free Domain Adaptation for Sleep Stage Classification , Yasmin Niknam

Data Heterogeneity and Its Implications for Fairness , Ghazaleh Noroozi

Enhancing Urban Life: A Policy-Based Autonomic Smart City Management System for Efficient, Sustainable, and Self-Adaptive Urban Environments , Elham Okhovat

Evaluating the Likelihood of Bug Inducing Commits Using Metrics Trend Analysis , Parul Parul

On Computing Optimal Repairs for Conditional Independence , Alireza Pirhadi

Open-Set Source-Free Domain Adaptation in Fundus Images Analysis , Masoud Pourreza

Migration in Edge Computing , Arshin Rezazadeh

A Modified Hopfield Network for the K-Median Problem , Cody Rossiter

Predicting Network Failures with AI Techniques , Chandrika Saha

Toward Building an Intelligent and Secure Network: An Internet Traffic Forecasting Perspective , Sajal Saha

An Exploration of Visual Analytic Techniques for XAI: Applications in Clinical Decision Support , Mozhgan Salimiparsa

Attention-based Multi-Source-Free Domain Adaptation for EEG Emotion Recognition , Amir Hesam Salimnia

Global Cyber Attack Forecast using AI Techniques , Nusrat Kabir Samia

IMPLEMENTATION OF A PRE-ASSESSMENT MODULE TO IMPROVE THE INITIAL PLAYER EXPERIENCE USING PREVIOUS GAMING INFORMATION , Rafael David Segistan Canizales

A Computational Framework For Identifying Relevant Cell Types And Specific Regulatory Mechanisms In Schizophrenia Using Data Integration Methods , Kayvan Shabani

Weakly-Supervised Anomaly Detection in Surveillance Videos Based on Two-Stream I3D Convolution Network , Sareh Soltani Nejad

Smartphone Loss Prevention System Using BLE and GPS Technology , Noshin Tasnim

A Hybrid Continual Machine Learning Model for Efficient Hierarchical Classification of Domain-Specific Text in The Presence of Class Overlap (Case Study: IT Support Tickets) , Yasmen M. Wahba

Reducing Negative Transfer of Random Data in Source-Free Unsupervised Domain Adaptation , Anthony Wong

Deep Neural Methods for True/Pseudo- Invasion Classification in Colorectal Polyp Whole-Slide Images , Zhiyuan Yang

Developing a Relay-based Autonomous Drone Delivery System , Muhammad Zakar

Learning Mortality Risk for COVID-19 Using Machine Learning and Statistical Methods , Shaoshi Zhang

Machine Learning Techniques for Improved Functional Brain Parcellation , Da Zhi

Theses/Dissertations from 2022 2022

The Design and Implementation of a High-Performance Polynomial System Solver , Alexander Brandt

Defining Service Level Agreements in Serverless Computing , Mohamed Elsakhawy

Algorithms for Regular Chains of Dimension One , Juan P. Gonzalez Trochez

Towards a Novel and Intelligent e-commerce Framework for Smart-Shopping Applications , Susmitha Hanumanthu

Multi-Device Data Analysis for Fault Localization in Electrical Distribution Grids , Jacob D L Hunte

Towards Parking Lot Occupancy Assessment Using Aerial Imagery and Computer Vision , John Jewell

Potential of Vision Transformers for Advanced Driver-Assistance Systems: An Evaluative Approach , Andrew Katoch

Psychological Understanding of Textual journals using Natural Language Processing approaches , Amirmohammad Kazemeinizadeh

Driver Behavior Analysis Based on Real On-Road Driving Data in the Design of Advanced Driving Assistance Systems , Nima Khairdoost

Solving Challenges in Deep Unsupervised Methods for Anomaly Detection , Vahid Reza Khazaie

Developing an Efficient Real-Time Terrestrial Infrastructure Inspection System Using Autonomous Drones and Deep Learning , Marlin Manka

Predictive Modelling For Topic Handling Of Natural Language Dialogue With Virtual Agents , Lareina Milambiling

Improving Deep Entity Resolution by Constraints , Soudeh Nilforoushan

Respiratory Pattern Analysis for COVID-19 Digital Screening Using AI Techniques , Annita Tahsin Priyoti

Extracting Microservice Dependencies Using Log Analysis , Andres O. Rodriguez Ishida

False Discovery Rate Analysis for Glycopeptide Identification , Shun Saito

Towards a Generalization of Fulton's Intersection Multiplicity Algorithm , Ryan Sandford

An Investigation Into Time Gazed At Traffic Objects By Drivers , Kolby R. Sarson

Exploring Artificial Intelligence (AI) Techniques for Forecasting Network Traffic: Network QoS and Security Perspectives , Ibrahim Mohammed Sayem

A Unified Representation and Deep Learning Architecture for Persuasive Essays in English , Muhammad Tawsif Sazid

Towards the development of a cost-effective Image-Sensing-Smart-Parking Systems (ISenSmaP) , Aakriti Sharma

Advances in the Automatic Detection of Optimization Opportunities in Computer Programs , Delaram Talaashrafi

Reputation-Based Trust Assessment of Transacting Service Components , Konstantinos Tsiounis

Fully Autonomous UAV Exploration in Confined and Connectionless Environments , Kirk P. Vander Ploeg

Three Contributions to the Theory and Practice of Optimizing Compilers , Linxiao Wang

Developing Intelligent Routing Algorithm over SDN: Reusable Reinforcement Learning Approach , Wumian Wang

Predicting and Modifying Memorability of Images , Mohammad Younesi

Theses/Dissertations from 2021 2021

Generating Effective Sentence Representations: Deep Learning and Reinforcement Learning Approaches , Mahtab Ahmed

A Physical Layer Framework for a Smart City Using Accumulative Bayesian Machine Learning , Razan E. AlFar

Load Balancing and Resource Allocation in Smart Cities using Reinforcement Learning , Aseel AlOrbani

Contrastive Learning of Auditory Representations , Haider Al-Tahan

Cache-Friendly, Modular and Parallel Schemes For Computing Subresultant Chains , Mohammadali Asadi

Protein Interaction Sites Prediction using Deep Learning , Sourajit Basak

Predicting Stock Market Sector Sentiment Through News Article Based Textual Analysis , William A. Beldman

Improving Reader Motivation with Machine Learning , Tanner A. Bohn

A Black-box Approach for Containerized Microservice Monitoring in Fog Computing , Shi Chang

Visualization and Interpretation of Protein Interactions , Dipanjan Chatterjee

A Framework for Characterising Performance in Multi-Class Classification Problems with Applications in Cancer Single Cell RNA Sequencing , Erik R. Christensen

Exploratory Search with Archetype-based Language Models , Brent D. Davis

Evolutionary Design of Search and Triage Interfaces for Large Document Sets , Jonathan A. Demelo

Building Effective Network Security Frameworks using Deep Transfer Learning Techniques , Harsh Dhillon

A Deep Topical N-gram Model and Topic Discovery on COVID-19 News and Research Manuscripts , Yuan Du

Automatic extraction of requirements-related information from regulatory documents cited in the project contract , Sara Fotouhi

Developing a Resource and Energy Efficient Real-time Delivery Scheduling Framework for a Network of Autonomous Drones , Gopi Gugan

A Visual Analytics System for Rapid Sensemaking of Scientific Documents , Amirreza Haghverdiloo Barzegar

Calibration Between Eye Tracker and Stereoscopic Vision System Employing a Linear Closed-Form Perspective-n-Point (PNP) Algorithm , Mohammad Karami

Fuzzy and Probabilistic Rule-Based Approaches to Identify Fault Prone Files , Piyush Kumar Korlepara

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UKnowledge > College of Engineering > Computer Science > Theses & Dissertations

Theses and Dissertations--Computer Science

Theses/dissertations from 2024 2024.

Extracting Social Network Model Parameters from Social Science Literature , Isaac Batts

LANGUAGE MODELS FOR RARE DISEASE INFORMATION EXTRACTION: EMPIRICAL INSIGHTS AND MODEL COMPARISONS , Shashank Gupta

TENSION CONTROL AND INTERPROXIMATION TECHNIQUES FORSHAPE DESIGN AND RGB-DEPTH SEGMENTATION RECONSTRUCTION AND MODELING , Anastasia Kazadi

Flexible Attenuation Fields: Tomographic Reconstruction From Heterogeneous Datasets , Clifford S. Parker

Theses/Dissertations from 2023 2023

Small Approximate Pareto Sets with Quality Bounds , William Bailey

Machine-Learning-Powered Cyber-Physical Systems , Enrico Casella

PERSONALIZED POINT OF INTEREST RECOMMENDATIONS WITH PRIVACY-PRESERVING TECHNIQUES , Longyin Cui

Deep Learning-Based Intrusion Detection Methods for Computer Networks and Privacy-Preserving Authentication Method for Vehicular Ad Hoc Networks , Ayesha Dina

Machine Learning Framework for Real-World Electronic Health Records Regarding Missingness, Interpretability, and Fairness , Jing Lucas Liu

Enabling DApps Data Exchange with Hardware-Assisted Secure Oracle Network , Yue Li

Improving Connectivity for Remote Cancer Patient Symptom Monitoring and Reporting in Rural Medically Underserved Regions , Esther Max-Onakpoya

A Secure and Distributed Architecture for Vehicular Cloud and Protocols for Privacy-preserving Message Dissemination in Vehicular Ad Hoc Networks , Hassan Mistareehi

Practical AI Value Alignment Using Stories , Md Sultan Al Nahian

Hard-Hearted Scrolls: A Noninvasive Method for Reading the Herculaneum Papyri , Stephen Parsons

Deep Learning Models for CT Image Standardization , Md Selim

Multi-agent Learning For Game-theoretical Problems , Kshitija Taywade

Peer-to-Peer Energy Trading in Smart Residential Environment with User Behavioral Modeling , Ashutosh Timilsina

The BASIL technique: Bias Adaptive Statistical Inference Learning Agents for Learning from Human Feedback , Jonathan Indigo Watson

Structured Attention for Image Analysis , Xin Xing

Multi-Domain Adaptation for Image Classification, Depth Estimation, and Semantic Segmentation , Yu Zhang

Theses/Dissertations from 2022 2022

Learning a Scalable Algorithm for Improving Betweenness in the Lightning Network , Vincent Davis

Don't Give Me That Story! -- A Human-Centered Framework for Usable Narrative Planning , Rachelyn Farrell

Image Geo-localization with Cross-Attention , Connor Greenwell

Smart Decision-Making via Edge Intelligence for Smart Cities , Nathaniel Hudson

Supporting Stylized Language Models Using Multi-Modality Features , Chengxi Li

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This page is about how to turn your research (once it's done) into a readable multi-chapter document. You need to figure out what to include, how to organize it, and how to present it.

Following this advice will make me happier about reading your submitted or draft dissertation. You may find it useful even if I'm not going to read your dissertation.

Many others have written usefully on this subject , including someone in the Annals of Improbable Research . There's also advice on writing a thesis proposal . However, this page focuses on what a finished dissertation should look like. You could also skim good dissertations on the web.

What Goes Into a Dissertation?

A typical thesis will motivate why a new idea is needed, present the cool new idea, convince the reader that it's cool and new and might apply to the reader's own problems, and evaluate how well it worked. Just like a paper!

The result must be a substantial, original contribution to scientific knowledge. It signals your official entrance into the community of scholars. Treat it as an chance to make a mark, not as a 900-page-tall memorial to your graduate student life.

Beyond stapling

The cynical view is that if you've written several related papers, you staple them together to get a dissertation. That's a good first-order approximation -- you should incorporate ideas and text from your papers. But what is it missing?

First, a thesis should cohere -- ideally, it should feel like one long paper. Second, it should provide added value: there should be people who would prefer reading it to simply reading your papers. Otherwise writing it would be a meaningless exercise.

Here's what to do after stapling:

Taking Responsibility

Don't expect your advisor to be your co-author. It's your Ph.D.: you are sole author this time and the responsibility is on your shoulders. If your prose is turgid or thoughtless, misspelled or ungrammatical, oblivious or rude to related research, you're the one who looks bad.

You can do it! Your advisor and committee are basically on your side -- they're probably willing to make suggestions about content and style -- but they are not obligated to fix problems for you. They may send your dissertation back and tell you to fix it.

In the following sections, I'll start with advice about the thesis as a whole, and work downward, eventually reaching small details such as typography and citations.

Know Your Audience

First, choose your target audience. That crucial early decision will tell you what to explain, what to emphasize, and how to phrase and organize it. Checking it with your advisor might be wise.

Pretty much everything in your thesis should be relevant to your chosen audience. Think about them as you write. Ask yourself:

What does your audience already know?

You can also safely assume that your readers have some prior familiarity with your research area. Just how much familiarity, and with which topics, is a judgment call -- again, you have to decide who your intended audience is.

In practice, your audience will be somewhat mixed. Up to a point, it is possible to please both beginners and experts -- by covering background material crisply and in the service of your own story . How does that work? As you lay out the motivation for your own work, and provide notation, you'll naturally have to discuss background concepts and related work. But don't give a generic review that someone else could have written! Discuss the background in a way that motivates and clarifies your ideas. Present your detailed perspective on the intellectual landscape and where your own work sits in it -- a fresh (even opinionated) take that keeps tying back to your main themes and will be useful for both experts and beginners.

In short, be as considerate as you can to beginners without interrupting the flow of your main argument to your established colleagues. A good rule of thumb is to write at the level of the most accessible papers in the journals or conference proceedings that you read.

What do you want your audience to learn from the thesis?

You should set clear goals here. Just like a paper or a talk, your dissertation needs a point: it should tell a story. Writing the abstract and chapter 1 at the start will help you work out what that story is.

You may find that you have to do further work to really support your chosen story: more experiments, more theorems, reading more literature, etc.

What does your audience hope to get out of the thesis?

Why does anyone crack open a dissertation, anyway? I sometimes do. Especially for areas that I know less well, a dissertation is often more accessible than shorter, denser papers. It takes a more leisurely pace, provides more explicit motivation and background, and answers more of the questions that I might have.

There are other reasons I might look at your dissertation:

For students, reading high-quality dissertations is a good way to learn an area and to see what a comprehensive treatment of a problem looks like. Noah A. Smith once ran a graduate CS seminar in which the students read 8 dissertations together. Each student was also required to select and summarize yet another dissertation and write a novel research proposal based on it.

Readers with different motivations may read your thesis in different ways. The strong convention is that it's a single document that must read well from start to finish -- your committee will read it that way. But it's worth keeping other readers in mind, too. Some will skim from start to finish. Some will read only the introductory and concluding chapters (so make sure those give a strong impression of what you've done and why it's important). Some will read a single chapter in the middle, going back for definitions as needed. Some will scan or search for what they need: a definition, example, table of results, or literature review. Some will flip through to get a general sense of your work or of how you think, reading whatever catches their eye.

High-Level Organization

Once you've chosen your target audience, you should outline the structure of the thesis. Again, the convention is that the document must read well from start to finish.

The "canonical organization" is sketched by Douglas Comer near the end of his advice . Read that: you'll probably want something like it. A few further tips:

Keep your focus

Keep your focus. Length is not a virtue unless the content is actually interesting. You do have as much space as you need, but the reader doesn't have unlimited time and neither do you.

Get to the good stuff

A newspaper, like a dissertation, is a hefty chunk of reading. So it puts the most important news on page one, and leads each article with the most important part. You should try to do the same when reasonable.

Get to the interesting ideas as soon as possible. A good strategy is to make Chapter 1 an overview of your main arguments and findings. Tell your story there in a compelling way, including a taste of your results. Refer the reader to specific sections in later chapters for the pesky details. Chapter 1 should be especially accessible (use examples): make it the one chapter that everyone should read.

Include a road map

Chapter 1 traditionally ends with a "road map" to the rest of the thesis, which rapidly summarizes what the remaining chapters or sections will contain. That's useful guidance for readers who are looking for something specific and also for those who will read the whole thesis. It also exhibits in one place what an awful lot of work you've done. Here's a detailed example .

Where to put the literature review

I recommend against writing "Chapter 2: Literature Review." Such chapters are usually boring: they're plonked down like the author's obligatory list of what he or she was "supposed" to cite. They block the reader from getting to the new ideas, and can't even be contrasted with the new ideas because those haven't been presented yet.

A better plan is to discuss related literature in conjunction with your own ideas. As you motivate and present your ideas, you'll want to refer to some related work anyway.

Each chapter might have its own related work section or sections, covering work that connects to yours in different ways.

Where to define terminology and notation

Basic terminology, concepts, and notation have to be defined somewhere. But where? You can mix the following strategies:

Retail. You can define some terms or notation individually, when the reader first needs them. Then they will be well-motivated and fresh in the reader's mind. If you use them again later, you can refer back to the section where you first defined them.

Wholesale. On the other hand, there are advantages to aggregating some of your fundamental definitions into a "Definitions" section near the start of the chapter, or a chapter near the start of the dissertation:

The downside is that such sections or chapters can seem boring and full of not-yet-motivated concepts. Unless your definitions are novel and interesting in themselves, they block the reader from getting to the new and interesting ideas. So if you write something like "Chapter 2: Preliminaries," keep it relatively concise -- the point is to get the reader oriented.

Thrift shop. Use well-known notation and terminology whenever you can, either with or without a formal definition in your thesis. The point of your thesis is not to re-invent notation or to re-present well-known material, although sometimes you may find it helpful to do so.

Make Things Easy on Your Poor Readers

Now we get down to the actual writing. A dissertation is a lot to write. But it's also an awful lot to read and digest at once! You can keep us readers turning pages and following your argument. But it's a bigger and more complicated argument than usual, so you have to be more disciplined than usual.

Break it down

Long swaths of text are like quicksand for readers (and writers!). To keep us moving without sinking, use all the devices at your disposal to break the text down into short chunks. Ironically, short chunks are more helpful in a longer document. They keep your argument tightly organized and keep the reader focused and oriented.

If a section or subsection is longer than 1 double-spaced page , consider whether you could break it down further. I'm not joking! This 1-page threshold may seem surprisingly short, but it really makes writing and reading easier. Some devices you can use:

subsectioning Split your section into subsections (or subsubsections) with meaningful titles that keep the reader oriented.

lists If you're writing a paragraph and feel like you're listing anything (e.g., advantages or disadvantages of some approach), then use an explicit bulleted list. Sometimes this might yield a list with only 2 or 3 rather long bullet points, but that's fine -- it breaks things down. ( Note: To replace the bullets with short labels, roughly as in the list you're now reading, LaTeX's itemize environment lets you write \item[my label] .)

labeled paragraphs Label a series of paragraphs within the section, as a kind of lightweight subsectioning. Your experimental design section might look like this (using the LaTeX \paragraph command):

Participants. The participants were 32 undergraduates enrolled in ... Apparatus. Each participant wore a Star Trek suit equipped with a Hasbro-brand Galactic Translator, belt model 3A ... Procedure. The subjects were seated in pairs throughout the laboratory and subjected to Vogon poetry broadcast at 3-minute intervals ... Dataset. The Vogon poetry corpus (available on request) was obtained by passing the later works of T. S. Eliot through the Systran translation system ...

footnotes Move inessential points to footnotes. If they're too long for that, you could move them into appendices or chapters near the end of the thesis. (Here's my take on footnotes .)

captions Move some discussion of figures and tables into their captions. Figures and tables should be clearly structured in the first place: e.g., graphs should have labeled axes with units. But a helpful caption provides guidance on how to interpret the figure or table and what interesting conclusions to draw from it. The figure or table should itself include helpful labels (axis

(In LaTeX, you can write \caption[short version]{long version} . The optional short version argument will be used for the "List of Tables" or "List of Figures" at the start of the thesis.)

theorems Even simple formal results can be stated as a theorem or lemma. The theorem (and proof, if included) form a nice little chunk, using the LaTeX theorem enviroment.

Breaking down equations

Long blocks of equations are even more intimidating than long swaths of text. You can break those apart, too:

Intersperse short bits of text for guidance (perhaps using LaTeX \intertext ). You might introduce line 3 of your formula with

A change of variable from x to log x now allows us to integrate by parts:

Distinguish conceptually important steps from finicky steps that just push symbols around. You can even move finicky steps to a footnote, like this:

Some algebraic manipulation 5 allows us to simplify to the following:

Use visual devices like color, boldface, underlining, boxes, or \underbrace to call attention to significant parts of a formula:

Simplify the formulas in the first place by defining intermediate quantities or adopting notational conventions (e.g., "the t subscript will be dropped when it is clear from context").

Now tie it back together

Now that you've chopped your prose into bite-sized chunks, what binds it together?

Coherent and explicit structure

Your paragraphs and chunks have to tie together into a coherent argument. Do everything you can to highlight the structure of this argument. The structure should jump out at the reader, making it possible to read straight through your text, or skim it. Else the reader will get stuck puzzling out what you meant and lose momentum.

Make sure your readers are never perplexed about the point of the paragraph they're reading. Make them want to keep turning the page because you've set up questions to which they want to know the answers. Don't make them rub their eyes in frustration or boredom and wander off to the fridge or the web browser.

So how exactly do you "highlight the structure" and "set up questions"?

Ask questions explicitly and then answer them, as I just did. This is a great device for breaking up boring prose, communicating your rhetorical goals, and making the reader think.

Explicitly refer back to previous text, as when I wrote, "So how exactly do you 'highlight the structure' and 'set up questions'?"

Use lots of transitional phrases (discourse connectives). Note that it's fine to use these across chunk boundaries; that is, feel free to start a new subsection with "For this reason, ...", picking up where the previous subsection left off.

As you come to the end of a section, remind the reader what the point was. If possible, this should lead naturally into the next section.

If a section is skippable, or chapters can be read out of order, do say so. (But don't use this as an excuse for poor organization or long distractions. Some readers tend to read straight through, and in particular, your advisor or committee may feel that they must do this.)

Lots of internal cross-references

A thesis deals with a lot of ideas at once. Readers can easily lose track. Help them out:

Each figure or table should be mentioned in the main text, so that the reader knows to go look at it. Conversely, the figure's caption may point the reader back to details in the main text (stating the section number). A caption may also refer to other figures or tables that the reader should be sure to compare.

Boldface terms that you are defining, as a textbook would. This makes the definitions easy to spot when needed. You may also want to generate an index of boldfaced terms.

Be very consistent in your terminology. Never use two terms for the same idea; never reuse one term or variable for two ideas.

Be cautious about using pronouns like "it," or other anaphors such as "this" or "this technique." With all the ideas flying around, it won't always be obvious to everyone what you're referring to. Use longer, unambiguous phrases instead, when appropriate.

Try saying "the time t " instead of just " t " or just "the time." Similarly, "the image transformation T ," "the training example x i ," etc. This style reminds the reader of which variables are connected to which concepts. You can further do this for expressions: "the total probability Σ i p i " instead of just "the total probability" or "the sum."

Feel free to lavish space where it confers extra understanding. Don't hesitate to give an example or a caveat, or repeat an earlier equation, or crisply summarize earlier work that the reader needs to understand.

Be concrete

As I read a thesis, or a long argument or construction within a thesis, I often start worrying whether I am keeping the pieces together correctly in my head. Something that has become deeply familiar and natural to you (the world expert) may be rougher going for me. If I can see some concrete demonstration of how your idea works, it helps me check and deepen my understanding.

Examples keep the reader, and you, from getting lost in a morass of abstractions. Example cases figured in your thinking; they can help the reader, too. Invented examples are okay, but using "real" examples will also show off what your methods should or can do.

Running examples greet the reader like old friends. The reader will grasp a point more quickly and completely, and remember it better, when it is applied to a familiar example rather than a new one. So if possible, devise one or two especially nice examples that you can keep revisiting to make a series of points.

Pictures serve much the same role as examples: they're concrete and they share how the ideas really look inside your head. A picture is worth at least a thousand words (= 2.5 double-spaced thesis pages).

Pseudocode is a concrete way to convey an algorithm. It is often more concise, precise, and direct than a prose description, and may be closer to your own thinking. It will also make other people much more likely to understand and adopt your methods.

Theorems , too, are concise and precise. They are also self-contained chunks, because they formally state all their assumptions. A reader sloshing through a long, complicated, contextual argument can always grab onto a theorem as an island of certainty.

Experimental results are also concrete. You don't have to wait for the experimental section: it is okay to foreshadow your experiments before you present them in full. When you are developing the theory, you can say "Indeed, we will find experimentally in section 5.6 that ..." You can even showcase an example from your experiments or give some summary statistics; these might not even show up later in the experimental section.

Commitments keep the reader anchored. As noted earlier, your dissertation should discuss alternative solutions that you rejected or are leaving to future work. That's scholarship. But make it clear from the start what you actually did and didn't do. Don't have section 2.3 chatter on about everything one could do -- that reads like a proposal, not a thesis! -- while waiting till section 4.5 or even 2.5 to reveal what you actually did.

Placing these concrete elements early is best, other things equal. Either embed them early in the section or just tell the reader early on to go look at Figure X. (If you continue the section by discussing Figure X, the reader is more likely to actually go look. Figure X or its caption can refer back to the text in turn.)

For example, consider pseudocode. Some readers prefer code to prose, and it's concise. So you may want to give pseudocode early in the section, before you ramble on about why it works. An alternative is to intersperse fragments of pseudocode with your prose explanation, as in literate programming . Of course, the pseudocode itself should also include some brief comments; where necessary these can just point to the text, as in "implements equation (5)" or "see section 3.2."

Sentences. The previous section dealt with sections and paragraphs, but how about sentences? Yours should read well. The best advice in The Elements of Style : "Omit needless words. Vigorous writing is concise." To learn how to improve your sentences, read Style: Lessons in Clarity and Grace , by Joseph M. Williams, and do the exercises. Another classic is On Writing Well , by William Zinsser.

Computers are getting exponentially faster (Moore, 1965). However, Biddle (1971) showed ...

Bandura's (1977) theory ... ... (e.g., Butcher, 1954; Baker, 1955; Candlestick-Maker, 1957, and others). The work of Minor (2001, pp. 50-75; but see also Adams, 1999; Storandt, 1997) ... According to Manning and Schütze, 1999 (henceforth M&S), ...

(Another option is the apacite package, which precisely follows the style manual of the American Psychological Association. It is nearly as flexible in its citation format, but APA style has some oddities, including lowercasing the titles of proceedings volumes. One nice thing about APA style is that if you have multiple Smiths in your bibliography, it will distinguish them where necessary, using first and middle initials. Another nice thing is the use of "&" rather than "and" in author lists; however, you can easily hack plainnat.bst to mimic this behavior.)

\usepackage[colorlinks]{ hyperref } \usepackage{ url }

\usepackage[usenames,dvipsnames,svgnames,table]{xcolor} \usepackage{soul} \newcommand{\todo}[1]{\hl{[TODO: #1]}} \todo{Either prove this or back away from the claim. I think Fermat's Last Theorem might be the key ...}

\newcommand{\todo}[1]{}

... only 58 words in the dictionary have this property. % to get that count: % perl -ne 'print if blah blah' /usr/share/dict/words | wc -l

Version control. It's probably wise to use git (or CVS or RCS or Subversion or mercurial or darcs) to keep the revision history of your dissertation files. This lets you roll back to an earlier version in case of disaster. Furthermore, if you host the repository on your cs.jhu.edu account, it will be backed up by the department.

Sharing your thesis. When you're willing to open up for comments from fellow students, your advisor, or your committee, give them a secret URL from which they can always download the latest, up-to-date release of your thesis, as well as earlier versions. (This is probably friendlier than just pointing them to your git repository.)

Keep this URL up to date with your changes. Each distinct version should bear a visible date or version number, to avoid confusion. For each new version (or on request), you should probably also supply a PDF that marks up the differences from an appropriate earlier version, using the wonderful latexdiff program (available here or as an Linux package; plays nicely with git via latexdiff-git or other scripts ) or a similar technique . (Note: If you use a makefile to build your document by running latex, gnuplot, etc., then you can also make it run latexdiff and update the URL for you.)

If you use Overleaf , just give your committee a view URL for your project. They will be able to see the PDF, visit different versions, and leave comments in the source file.

Planning Your Dissertation

Every dissertation is a little different. Talk to your advisor to draft a specific, written plan for what the thesis will contain, how it will be organized, and whom it will address. Discuss the plan with each of your committee members, who may suggest changes. They might disagree with advice on this page; find out.

As the dissertation takes shape, your plan may need some revision. Your advisor and committee may be willing to provide early feedback. But no one will want to slog through more than a version or two in detail. So ask them each how many drafts of each chapter they're willing to read, and in what state and on what schedule. Some of them nmay prefer to influence your writeup while it's still in an early, outline form. Others may prefer to wait until your prose is fairly polished and easy to read.

In addition to your advisor's goals and your committee's goals, you may have some goals of your own, e.g.,

GOOD LUCK!!! Now, download that LaTeX template , and take the first step toward filling it in today ...

Time Management

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Computer Science Master's Theses Collection

http://hdl.handle.net/2047/D20233315

aBBRate: automating BBR congestion control attack exploration using a model-based approach.

Analysis of named entity recognition & entity linking in historical text

Annotating decision analyses using semantic web technologies

Applying EM to compute document relevance from crowdsourced pair preferences

Applying unsupervised grammar induction to OCR error correction

Argument mining for understanding media bias and misinformation

ARID: affinity representing instance descriptors.

Automated explanation of research informed consent by embodied conversational agents

Automated indexing of stories for conversational health intervention

Automating infant monitoring and biomedical image analysis with machine vision

Home > ENG > ENG_PROGRAMS > CSE > CSE_ETDS

Theses and Dissertations

Theses/dissertations from 2024 2024.

Improving and Modeling Heterogeneous Streaming Computation , Clayton Faber

A Distributed and Hybrid AI-Based Security Framework for 5G Real-time Applications , Ali Ghubaish

Tree Recovery by Dynamic Programming , Gustavo Alberto Gratacos

Experimental Design for Scientific Discovery , Quan Minh Nguyen

An Attention LSTM U-Net Model for Drosophila Melanogaster Heart Tube Segmentation , Xiangping Ouyang

Improved Models of Elastic Scheduling , Marion Baumli Sudvarg

Mending Trust in AI: Trust Repair Policy Interventions for Large Language Models in Visual Data Journalism , Hangxiao Zhu

Theses/Dissertations from 2023 2023

Integrative analysis of cell-free DNA liquid biopsy data , Irfan Alahi

Deep Learning for Tomographic Image Reconstruction Guided by Generative Models and Image Science , Sayantan Bhadra

Interpretable deep learning via sparse representation for protein-DNA interactions , Shane Kuei-Hsien Chu

Feature-Oriented Hardware Design , Justin Deters

Decentralized Computing for Reliable Home Automation , Rahav Dor

Injective Mapping under Constraints , Xingyi Du

Consequences and Incentives of Fair Learning , Andrew Estornell

Learning in Large Interactive Environments , Hai S. Le

TFA inference: Using mathematical modeling of gene expression data to infer the activity of transcription factors , Cynthia Ma

Learning from User Interactions and Providing Guidance in Visual Data Analysis , Shayan Monadjemi

Translating Deep Learning into Scientific Domains: Case Studies in Bioactivation, Quantum Chemistry, and Clinical Studies , Kathryn Sarullo

An Efficient Task-Parallel Platform for Interactive Applications , Kyle Singer

Models and Algorithms for Real-Time Systems , Abhishek Singh

Understanding Societal Values of ChatGPT , Yidan Tang

Throughput Optimizations for Irregular Dataflow Streaming Applications on Wide-SIMD Architectures , Stephen William Timcheck

Adversarial Patch Attacks on Deep Reinforcement Learning Algorithms , Peizhen Tong

Honesty Is Not Always the Best Policy: Defending Against Membership Inference Attacks on Genomic Data , Rajagopal Venkatesaramani

Real-time Analysis of Aerosol Size Distributions with the Fast Integrated Mobility Spectrometer (FIMS) , Daisy Wang

Feature Selection from Clinical Surveys Using Semantic Textual Similarity , Benjamin Warner

An Assistive Interface For Displaying Novice's Code History , Ruiwei Xiao

Model-based Deep Learning for Computational Imaging , Xiaojian Xu

Securing Autonomous Driving: Addressing Adversarial Attacks and Defenses , Jinghan Yang

Evaluating the Problem Solving Abilities of ChatGPT , Fankun Zeng

PathFormer: Interpretable and Powerful Graph Transformer for Gene Network Analysis , Qihang Zhao, Zehao Dong, Muhan Zhang, Philip Payne, Michael Province, Carlos Cruchaga, Tianyu Zhao, Yixin Chen, and Fuhai Li

Theses/Dissertations from 2022 2022

Tell It Slant: Investigating the Engagement, Discourse, and Popularity of Data Visualization in Online Communities , Emma Baker

A Reconfigurable FPGA Overlay Architecture for Matrix-Matrix Multiplication , Zihao Chen

Smart Sensing and Clinical Predictions with Wearables: From Physiological Signals to Mental Health , Ruixuan Dai

Dynamic Continuous Distributed Constraint Optimization Problems , Khoi Hoang

The Effects of Host-like Environmental Signals and Gene Expression on Capsule Growth in Cryptococcus neoformans , Yu Min Jung

Application of Crowdsourcing and Machine Learning to Predict Sentiments in Textual Student Feedback in Large Computer Science Classes , Robert Kasumba

Measuring the Effectiveness of Light Concentration with the Catoptric Surface , Samatha Kodali

Applying HLS to FPGA Data Preprocessing in the Advanced Particle-astrophysics Telescope , Meagan Konst

Application of Neural Networks to Predict Patient-Specific Cellular Parameters in Computational Cardiac Models , Chang Hi Lee

Scalable Software Infrastructure for the Lab and a Specific Investigation of the Yeast Transcription Factor Eds1 , Chase Mateusiak

Design & Analysis of Mixed-mode Integrated Circuit for Pulse-shape Discrimination , Bryan Orabutt

Modeling Metastasis in Breast Cancer Patients Using EHR Data, the Area Deprivation Index (ADI), and Machine Learning Models , Vishesh Patel

Speeding up the quantification of Contrast Sensitivity functions using Multidimensional Bayesian Active Learning , Shohaib Shaffiey

Integrating Physical Models and Deep Priors for Computational Imaging , Yu Sun

Human-Centered Machine Learning: Algorithm Design and Human Behavior , Wei Tang

Scheduling for High Throughput and Small Latency in Parallel and Distributed Systems , Zhe Wang

Design and Analysis of Strategic Behavior in Networks , Sixie Yu

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Senior Thesis

A senior thesis is more than a big project write-up. It is documentation of an attempt to contribute to the general understanding of some problem of computer science, together with exposition that sets the work in the context of what has come before and what might follow. In computer science, some theses involve building systems, some involve experiments and measurements, some are theoretical, some involve human subjects, and some do more than one of these things. Computer science is unusual among scientific disciplines in that current faculty research has many loose ends appropriate for undergraduate research.

Senior thesis projects generally emerge from collaboration with faculty. Students looking for senior thesis projects should tell professors they know, especially professors whose courses they are taking or have taken, that they are looking for things to work on. See the page on CS Research for Undergrads . Ideas often emerge from recent papers discussed in advanced courses. The terms in which some published research was undertaken might be generalized, relaxed, restricted, or applied in a different domain to see if changed assumptions result in a changed solution. Once a project gets going, it often seems to assume a life of its own.

To write a thesis, students may enroll in Computer Science 91r one or both terms during their senior year, under the supervision of their research advisor. Rising seniors may wish to begin thinking about theses over the previous summer, and therefore may want to begin their conversations with faculty during their junior spring—or even try to stay in Cambridge to do summer research.

An information session for those interested in writing a senior thesis is held towards the end of each spring semester. Details about the session will be posted to the  [email protected] email list.

Students interested in commercializing ideas in their theses may wish to consult Executive Dean Fawwaz Habbal about patent protection. See  Harvard’s policy  for information about ownership of software written as part of your academic work.

Thesis Supervisor

You need a thesis supervisor. Normally this is a Harvard Computer Science faculty member. Joint concentrators (and, in some cases, non-joint concentrators) might have a FAS/SEAS Faculty member from a different field as their thesis supervisor. Exceptions to the requirement that the thesis supervisor is a CS or FAS/SEAS faculty member must be approved by the Director of Undergraduate Studies. For students whose advisor is not a Harvard CS faculty member, note that at least one of your thesis readers must be a Harvard CS faculty member, and we encourage you to talk with this faculty member regularly to help ensure that your thesis is appropriately relevant for Harvard Computer Science.

It’s up to you and your supervisor how frequently you meet and how engaged the supervisor is in your thesis research. However, we encourage you to meet with your supervisor at least several times during the Fall and Spring, and to agree on deadlines for initial results, chapter outlines, drafts, etc.

Thesis Readers

The thesis is evaluated by the thesis readers: the thesis supervisor and at least one other reader. Thesis readers must include at least one Harvard CS faculty member/affiliate . Ordinarily all readers are teaching faculty members of the Faculty of Arts and Sciences or SEAS who are generally familiar with the research area.

The student is responsible for finding the thesis readers, but you can talk with your supervisor for suggestions of possible readers.

Exceptions to these thesis reader requirements must be approved by the Directors of Undergraduate Studies.

For joint concentrators, the other concentration may have different procedures for thesis readers; if you have any questions or concerns about thesis readers, please contact the Directors of Undergraduate Studies.

Senior Thesis Seminar

Computer Science does not have a Senior Thesis seminar course.

The thesis should contain an informative abstract separate from the body of the thesis. This abstract should clearly state what the contribution of the thesis is–which parts are expository, whether there are novel results, etc. We also recommend the thesis contain an introduction that is at most 5 pages in length that contains an “Our contributions” section which explains exactly what the thesis contributed, and which sections in the thesis these are elaborated on. At the degree meeting, the Committee on Undergraduate Studies in Computer Science will review the thesis abstract, the reports from the three readers and the student’s academic record; it will have access to the thesis.  The readers (and student) are told to assume that the Committee consists of technical professionals who are not necessarily conversant with the subject matter of the thesis so their reports (and abstract) should reflect this audience.

The length of the thesis should be as long as it needs to be to present its arguments, but no longer!

There are no specific formatting guidelines. For LaTeX, some students have used this template in the past . It is set up to meet the Harvard PhD Dissertation requirements, so it is meeting requirements that you as CS Senior Thesis writers don’t have.

Thesis Timeline for Seniors

(The timeline below is for students graduating in May. For off-cycle students, the same timeline applies, but offset by one semester. The thesis due date for March 2025 graduates is Friday November 22, 2024 at 2pm. The thesis deadline for May 2025 graduates is Friday March 28th at 2pm.

Please be aware that students writing a joint thesis must meet the requirements of both departments—so if there are two different due dates for the thesis, you are expected to meet the earlier date.

Senior Fall (or earlier) Find a thesis supervisor, and start research. 

October/November/December Start writing.

All fourth year concentrators are contacted by the Office of Academic Programs and those planning to submit a senior thesis are requested to supply certain information, including name of advisor and a tentative thesis title. You may use a different title when you submit your thesis; you do not need to tell us your updated title before then. If Fall 2024 is your final term, please fill out this form . If May 2024 is your final term, please fill out this form .

Early February The student should provide the name and contact information for the readers (see above), together with assurance that they have agreed to serve. 

Mid-March Thesis supervisors are advised to demand a first draft. (A common reaction of thesis readers is “This would have been an excellent first draft. Too bad it is the final thesis—it could have been so much better if I had been able to make some suggestions a couple of weeks ago.")

March 28, 2025 Thesis is due by 2:00 pm. Electronic copies in PDF format should be delivered by the student to all three readers and to [email protected] (which will forward to the Director of Undergraduate Studies) on or before that date. An electronic copy should also be submitted via the SEAS online submission tool on or before that date. SEAS will keep this electronic copy as a non-circulating backup. During this online submission process, the student will also have the option to make the electronic copy publicly available via DASH, Harvard’s open-access repository for scholarly work. Please note that the thesis will NOT be published to ProQuest. More information can be found on the SEAS  Senior Thesis Submission  page.

The two or three readers will receive a rating sheet to be returned to the Office of Academic Programs before the beginning of the Reading Period, together with their copy of the thesis and any remarks to be transmitted to the student.

Late May The Office of Academic Programs will send students their comments after the degree meeting to decide honors recommendations.

Thesis Extensions and Late Submissions

Thesis extensions Thesis extensions will be granted in extraordinary circumstances, such as hospitalization or grave family emergency, with the support of the thesis advisor and resident dean and the agreement of all readers. For joint concentrators, the other concentration should also support the extension. To request an extension, please have your advisor or resident dean email [email protected] , ideally several business days in advance, so that we may follow up with readers. Please note that any extension must be able to fall within our normal grading, feedback, and degree recommendation deadline, so extensions of more than a few days are usually impossible.

Late submissions Late submission of thesis work should be avoided. Work that is late will ordinarily not be eligible for thesis prizes like the Hoopes Prize. Theses submitted late will ordinarily be penalized one full level of honors (highest honors, high honors, honors, no honors) per day late or part thereof, including weekends, so a thesis submitted two days and one minute late is ordinarily ineligible to receive honors. Penalties will be waived only in extraordinary cases, such as documented medical illness or grave family emergency; students should consult with the Directors of Undergraduate Studies in that event. Missed alarm clocks, crashed computers, slow printers, corrupted files, and paper jams are not considered valid causes for extensions.

Thesis Examples

Recent thesis examples can be found on the Harvard DASH (Digital Access to Scholarship at Harvard) repository here . Examples of Mind, Brain, Behavior theses are here .

Spectral Sparsification: The Barrier Method and its Applications

• Martin Camacho, Advisor: Jelani Nelson

Good Advice Costs Nothing and it’s Worth the Price: Incentive Compatible Recommendation Mechanisms for Exploring Unknown Options

• Perry Green, Advisor: Yiling Chen

Better than PageRank: Hitting Time as a Reputation Mechanism

• Brandon Liu, Advisor: David Parkes

Tree adjoining grammar at the interfaces

• Nicholas Longenbaugh, Advisor: Stuart Shieber

SCHUBOT: Machine Learning Tools for the Automated Analysis of Schubert’s Lieder

• Dylan Nagler, Advisor: Ryan Adams

Learning over Molecules: Representations and Kernels

• Jimmy Sun, Advisor: Ryan Adams

Towards the Quantum Machine: Using Scalable Machine Learning Methods to Predict Photovoltaic Efficacy of Organic Molecules

• Michael Tingley, Advisor: Ryan Adams

EWU Digital Commons

Home > College, Department, or Program > CSTEM > Computer Science > Theses

Computer Science Masters Thesis Collection

Theses/dissertations from 2023 2023.

A hierarchical approach to improve the ant colony optimization algorith , Bryan J. Fischer

From Tic-tac-toe to AlphaGo: a survey of algorithms used in various games , Mathew T. Godon

Temporally consistent FastDVDNet: an overlap loss implementation for FastDVDNet , Michael J. Henderson

Multimodal game-based learning in Post-Secondary Education , Nathan A. Vanos

Theses/Dissertations from 2022 2022

Towards Cloud-Based cost-effective serverless information system , Isaac C. Angle

Modeling document classification to automate mental health diagnosis , William M. Tadlock

Theses/Dissertations from 2021 2021

Password-less two-factor authentication using scannable barcodes on a mobile device , Grant M. Callant II

Intrusion detection for industrial control systems , Kurt Lamon

Theses/Dissertations from 2020 2020

Data entry voice assistant for healthcare providers , Sajad Hussain M Alhamada

Comparison of the tally numbering system to traditional arithmetic systems in field programmable gate arrays , Robert Paul Shredow

Using Blockchain for Digital Card Game , Raymond A. Swannack

Theses/Dissertations from 2019 2019

Relaxed mental state detection using the Emotiv Epoc and Adaptive Threshold Algorithms , Olin L. Anderson

Detecting and mapping real-time Influenza-like illness using Twitter stream data , Elisha D. Brunette

The application of cloud resources to terrain data visualization , Gregory J. Larrick

Theses/Dissertations from 2018 2018

A practical and efficient algorithm for the k-mismatch shortest unique substring finding problem , Daniel Robert Allen

DETERMINING VULNERABILITY USING ATTACK GRAPHS: AN EXPANSION OF THE CURRENT FAIR MODEL , Beth M. Anderson

The application of GPU to molecular communication studies , Tobias J. Cain

Improving Aerial Package Delivery Through Simulation of Hazard Detection, Mapping, and Regulatory Compliance , Kevin Chumbley

GPU accelerated risk quantification , Forrest L. Ireland

Evaluating a Cluster of Low-Power ARM64 Single-Board Computers with MapReduce , Daniel McDermott

Glyph based segmentation of Chinese calligraphy characters in the "Collected Characters" stele. , David A. McInnis

Theses/Dissertations from 2017 2017

CLOUD LIVE VIDEO TRANSFER , Ryan Babcock

GENE EXPRESSION PROSPECTIVE SIMULATION AND ANALYSIS USING DATA MINING AND IMMERSIVE VIRTUAL REALITY VISUALIZATION , Joshua Cotes

Theses/Dissertations from 2016 2016

Near real-time early cancer detection using a graphics processing unit , Jason Helms

Analysis of algorithms to create profitable trades in the stock market , Nicholas P. Klinger

Dynamically parallel CAMSHIFT: GPU accelerated object tracking in digital video , Matthew J. Perry

USING CONVOLUTIONAL NEURAL NETWORKS FOR FINE GRAINED IMAGECLASSIFICATION OF ACUTE LYMPHOBLASTIC LEUKEMIA , Richard K. Sipes

Character extraction from ancient Chinese stele using discrete cosine transform , Toshiaki Ueno

Theses/Dissertations from 2015 2015

ECS: Educational Communication System , Nasmah Alnaimi

The geo-secure system: a secure system for data access based on geographical data , Fawaz J. Alruwaili

Heartbeat location assistance for electrocardiograms , Sarah Bass

Indirect association rule mining for crime data analysis , Riley Englin

Modeling and rendering of fluid flows using the Lennard-Jones potential , Nicholas J. LeFave

Multi-drug association rule mining on graphics processing unit , Jesse Scholer

Theses/Dissertations from 2014 2014

A study of kNN using ICU multivariate time series data , Admir Djulovic

Artificial Frequency Match Neuron Implemented with Digital Logic , David J. Ellis

Bridging the detection gap: a study on a behavior-based approach using malware techniques , Geancarlo Palavicini

3D Image Acquisition System for Facial Recognition , James E. Pearson

Divide and Conquer G-Buffer Ray Tracing , Daniel Stokes

Improving the performance of skeletal mesh animations in the Blender game engine , Mitchell Stokes

MINING MULTI-GRANULAR MULTIVARIATE MEDICAL MEASUREMENTS , Conrad Sykes

Theses/Dissertations from 2013 2013

Alsafeer software for teaching computer literacy , Zieb Rabie Alqahtani

Wireless electronic scoring of kendo competition matches using an embedded system , Edward B. Hogan

Using phishing to test social engineering awareness of financial employees , Rebecca M. Long

GPU ray tracing with CUDA , Thomas A. Pitkin

Ray traced rendering using GPGPU devices , Coby Soss

Theses/Dissertations from 2012 2012

Windows security sandbox framework , Kyle P. Gwinnup

Micro unmanned aerial vehicle video surveillance platform quadrocopter aircraft , Michael John Skadan

WiFiPoz -- an accurate indoor positioning system , Xiaoyi Ye

SSVEP-based brain computer interface using the Emotiv EPOC , Brian J. Zier

Theses/Dissertations from 2010 2010

Bittorrent vulnerable to layer-7 packet injection , Stephen L. Heath

Masquerade detection using fortified naive Bayes , Eric Salsbury

Theses/Dissertations from 2009 2009

Raising security awareness among higher education recipients , Chun-I Lin

On refactoring , Kaleb P. Pederson

Word prediction in assistive technologies for Aphasia rehabilitation in using Systemic Functional Grammar , Christopher T. Sorna

Novel visualization scheme for reasoning with uncertainty , Kyle A. Springer

Theses/Dissertations from 2008 2008

Tor latency attach verification and analysis , Ronnie Hoeflin

GPU programming: developing realistic water effects with OpenGL and GLSL , Joshua G. Slider

Theses/Dissertations from 2006 2006

Visualization of logic programming , Michael D. Henry

Theses/Dissertations from 2005 2005

Construction of efficient indexes from Fuzzy Clusters: preliminary study , Sean M. Drexler

Navigation agents and traffic simulation , Bart Hunking

Web-based fuzzy expert system: EWU optimal advisor , Nasser A. Rafi

Theses/Dissertations from 2003 2003

Intrusion detection, intelligent agents, and soft computing , Patrick Miller

Source code security analysis and fuzzy logic , Alexander Moskalyuk

Theses/Dissertations from 2002 2002

Support vector machines, N-gram kernels, and text classification , John Mill

Theses/Dissertations from 2001 2001

Solid object model advanced operations , Robert L. Throop

Theses/Dissertations from 2000 2000

Interactive 3D model display in Java 3D , Keqiu Chen

Theses/Dissertations from 1998 1998

Subdivision, and rfefinement of non-uniform rational B-spline curves and surfaces in 3-D , Bill E. La Rue

Theses/Dissertations from 1995 1995

A transputer based prototype for a fuzzy logic controller with tuning and simulation capabilities , Marshall Ryan Weddle

Theses/Dissertations from 1994 1994

Visualizing medical data using direct volume rendering , Bryce R. Hein

Industrial control via a state language implementation on the transputer architecture , Ted Preston VanderWeyst

A cellular method for modeling solid features in volume data , Jeff Wolkenhauer

Theses/Dissertations from 1993 1993

Hybrid coding with enhanced RDC and Huffman compression algorithms , Wilhelm J. Jenner

Implementation of a digital control system analysis program using the z-transform , Kristine L. Rudin

Subtyping and inheritance in a metamodel of abstractions , Gavin Vess

Theses/Dissertations from 1992 1992

Left ventricular boundary detection in digitized cardiac images , Albertine L. Marie Alm

High level user interface for a parallel operating system , Terry Conkright

Hybrid dictionary/statistical text compression algorithms , Michael E. Piotrowski

A study of using backpropagation and a new neural net algorithm for edge detecting in binary images , Jun Tian

Theses/Dissertations from 1990 1990

Visual parallel programming via petri nets , David Glenn Passey

Theses/Dissertations from 1988 1988

An iconic approach to parallel design , Elizabeth Stevens

Theses/Dissertations from 1986 1986

Conversion form structured programming to an object-oriented programming structure , Daryl Edward Krauter

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Home > School, College, or Department > MCECS > Computer Science > Dissertations and Theses

Computer Science Dissertations and Theses

Theses/dissertations from 2024 2024.

A Deep Learning Framework for Blockage Mitigation in mmWave Wireless , Ahmed Hazaa Almutairi (Dissertation)

Design and Test of Asynchronous Systems Using the Link and Joint Model , Ebelechukwu Esimai (Dissertation)

Automatic Measurement of Dialogue Engagingness in Multilingual Settings , Amila Ferron (Thesis)

Resource-constrained 2D Scene Recovery with Single-Photon Cameras , Daphne Ariadne Kurzenhauser (Thesis)

MmWave RAT Optimization: MAC Layer Initial Access Design and Transport Layer Integration , Suresh Srinivasan (Dissertation)

Designing for Deployable, Secure, and Generic Machine Learning Systems , Li-Yun Wang (Dissertation)

Theses/Dissertations from 2023 2023

Seeing in the Dark: Towards Robust Pedestrian Detection at Nighttime , Afnan Althoupety (Dissertation)

A Deep Hierarchical Variational Autoencoder for World Models in Complex Reinforcement Learning Environments , Sriharshitha Ayyalasomayajula (Thesis)

Toward Efficient Rendering: A Neural Network Approach , Qiqi Hou (Dissertation)

Energy Auction with Non-Relational Persistence , Michael Ramez Howard (Thesis)

Implementing a Functional Logic Programming Language via the Fair Scheme , Andrew Michael Jost (Dissertation)

Multi-Agent Deep Reinforcement Learning for Radiation Localization , Benjamin Scott Totten (Thesis)

Theses/Dissertations from 2022 2022

Using Intrinsically-Typed Definitional Interpreters to Verify Compiler Optimizations in a Monadic Intermediate Language , Dani Barrack (Thesis)

An Automated Zoom Class Session Analysis Tool to Improve Education , Jack Arlo Cannon II (Thesis)

Scaling EPA-RIMM with Multicore System Management Interrupt Handlers , Alexander K. Freed (Thesis)

Unpaired Style Transfer Conditional Generative Adversarial Network for Scanned Document Generation , David Jonathan Hawbaker (Thesis)

Toward Analyzing the Diversity of Extractive Summaries , Aaron David Hudson (Thesis)

Making Curry with Rice: An Optimizing Curry Compiler , Steven Libby (Dissertation)

Domain Knowledge as Motion-Aware Inductive Bias for Deep Video Synthesis: Two Case Studies , Long Mai (Dissertation)

Theses/Dissertations from 2021 2021

Efficient Neuromorphic Algorithms for Gamma-Ray Spectrum Denoising and Radionuclide Identification , Merlin Phillip Carson (Thesis)

Storing Intermediate Results in Space and Time: SQL Graphs and Block Referencing , Basem Ibrahim Elazzabi (Dissertation)

Automated Test Generation for Validating SystemC Designs , Bin Lin (Dissertation)

Forecasting Optimal Parameters of the Broken Wing Butterfly Option Strategy Using Differential Evolution , David Munoz Constantine (Thesis)

Situate: An Agent-Based System for Situation Recognition , Max Henry Quinn (Dissertation)

Theses/Dissertations from 2020 2020

Multiple Diagram Navigation , Hisham Benotman (Dissertation)

Smart Contract Vulnerabilities on the Ethereum Blockchain: a Current Perspective , Daniel Steven Connelly (Thesis)

Extensible Performance-Aware Runtime Integrity Measurement , Brian G. Delgado (Dissertation)

Novel View Synthesis - a Neural Network Approach , Hoang Le (Dissertation)

Exploring the Potential of Sparse Coding for Machine Learning , Sheng Yang Lundquist (Dissertation)

Workflow Critical Path: a Data-Oriented Path Metric for Holistic HPC Workflows , Daniel D. Nguyen (Thesis)

Novel View Synthesis in Time and Space , Simon Niklaus (Dissertation)

Balancing Security, Performance and Deployability in Encrypted Search , David Joel Pouliot (Dissertation)

Theses/Dissertations from 2019 2019

A Secure Anti-Counterfeiting System using Near Field Communication, Public Key Cryptography, Blockchain, and Bayesian Games , Naif Saeed Alzahrani (Dissertation)

Spectral Clustering for Electrical Phase Identification Using Advanced Metering Infrastructure Voltage Time Series , Logan Blakely (Thesis)

Local Radiance , Scott Peter Britell (Dissertation)

Correct-by-Construction Typechecking with Scope Graphs , Katherine Imhoff Casamento (Thesis)

Versatile Binary-level Concolic Testing , Bo Chen (Dissertation)

Crumpled and Abraded Encryption: Implementation and Provably Secure Construction , Scott Sherlock Griffy (Thesis)

Knowing Without Knowing: Real-Time Usage Identification of Computer Systems , Leila Mohammed Hawana (Thesis)

Design and Experimental Evaluation of DeepMarket: an Edge Computing Marketplace with Distributed TensorFlow Execution Capability , Soyoung Kim (Thesis)

Localizing Little Landmarks with Transfer Learning , Sharad Kumar (Thesis)

Context-Aware Wi-Fi Infrastructure-based Indoor Positioning Systems , Huy Phuong Tran (Dissertation)

Theses/Dissertations from 2018 2018

Bounding Box Improvement with Reinforcement Learning , Andrew Lewis Cleland (Thesis)

Sensing Building Structure Using UWB Radios for Disaster Recovery , Jeong Eun Lee (Dissertation)

Annotation-Enabled Interpretation and Analysis of Time-Series Data , Niveditha Venugopal (Thesis)

EPA-RIMM-V: Efficient Rootkit Detection for Virtualized Environments , Tejaswini Ajay Vibhute (Thesis)

Theses/Dissertations from 2017 2017

Improved Scoring Models for Semantic Image Retrieval Using Scene Graphs , Erik Timothy Conser (Thesis)

Refining Bounding-Box Regression for Object Localization , Naomi Lynn Dickerson (Thesis)

Fully Generic Programming Over Closed Universes of Inductive-Recursive Types , Larry Diehl (Dissertation)

Communicating at Terahertz Frequencies , Farnoosh Moshirfatemi (Dissertation)

Designing In-Headset Authoring Tools for Virtual Reality Video , Cuong Nguyen (Dissertation)

Certifying Loop Pipelining Transformations in Behavioral Synthesis , Disha Puri (Dissertation)

Power-Aware Datacenter Networking and Optimization , Qing Yi (Dissertation)

Theses/Dissertations from 2016 2016

Identifying Relationships between Scientific Datasets , Abdussalam Alawini (Dissertation)

Information Representation and Computation of Spike Trains in Reservoir Computing Systems with Spiking Neurons and Analog Neurons , Amin Almassian (Thesis)

Investigations of an "Objectness" Measure for Object Localization , Lewis Richard James Coates (Thesis)

Image Stitching: Handling Parallax, Stereopsis, and Video , Fan Zhang (Dissertation)

Theses/Dissertations from 2015 2015

Novel Methods for Learning and Adaptation in Chemical Reaction Networks , Peter Banda (Dissertation)

Post-silicon Functional Validation with Virtual Prototypes , Kai Cong (Dissertation)

Novel Cryptographic Primitives and Protocols for Censorship Resistance , Kevin Patrick Dyer (Dissertation)

Hardware/Software Interface Assurance with Conformance Checking , Li Lei (Dissertation)

Leveraging Contextual Relationships Between Objects for Localization , Clinton Leif Olson (Thesis)

The Performance of Random Prototypes in Hierarchical Models of Vision , Kendall Lee Stewart (Thesis)

Tweakable Ciphers: Constructions and Applications , Robert Seth Terashima (Dissertation)

Scalable Equivalence Checking for Behavioral Synthesis , Zhenkun Yang (Dissertation)

Theses/Dissertations from 2014 2014

The Nax Language: Unifying Functional Programming and Logical Reasoning in a Language based on Mendler-style Recursion Schemes and Term-indexed Types , Ki Yung Ahn (Dissertation)

Using Spammers' Computing Resources for Volunteer Computing , Thai Le Quy Bui (Thesis)

Towards Constructing Interactive Virtual Worlds , Francis Chang (Dissertation)

System-wide Performance Analysis for Virtualization , Deron Eugene Jensen (Thesis)

Advances in Piecewise Smooth Image Reconstruction , Ralf Juengling (Dissertation)

Interpretable Machine Learning and Sparse Coding for Computer Vision , Will Landecker (Dissertation)

Optimizing Data Movement in Hybrid Analytic Systems , Patrick Michael Leyshock (Dissertation)

Ranked Similarity Search of Scientific Datasets: An Information Retrieval Approach , Veronika Margaret Megler (Dissertation)

Using GIST Features to Constrain Search in Object Detection , Joanna Browne Solmon (Thesis)

The Role of Prototype Learning in Hierarchical Models of Vision , Michael David Thomure (Dissertation)

Theses/Dissertations from 2013 2013

Object Detection and Recognition in Natural Settings , George William Dittmar (Thesis)

Trust-but-Verify: Guaranteeing the Integrity of User-generated Content in Online Applications , Akshay Dua (Dissertation)

Equivalence Checking for High-Assurance Behavioral Synthesis , Kecheng Hao (Dissertation)

Type Classes and Instance Chains: A Relational Approach , John Garrett Morris (Dissertation)

Theses/Dissertations from 2012 2012

Using Dataflow Optimization Techniques with a Monadic Intermediate Language , Justin George Bailey (Thesis)

A Survey and Analysis of Solutions to the Oblivious Memory Access Problem , Erin Elizabeth Chapman (Thesis)

A Data-Descriptive Feedback Framework for Data Stream Management Systems , Rafael J. Fernández Moctezuma (Dissertation)

Extending Relativistic Programming to Multiple Writers , Philip William Howard (Dissertation)

The Basic Scheme for the Evaluation of Functional Logic Programs , Arthur Peters (Thesis)

The Link Between Image Segmentation and Image Recognition , Karan Sharma (Thesis)

Relativistic Causal Ordering A Memory Model for Scalable Concurrent Data Structures , Josh Triplett (Dissertation)

Theses/Dissertations from 2011 2011

Conceptual Modeling of Data with Provenance , David William Archer (Dissertation)

Low-latency Estimates for Window-Aggregate Queries over Data Streams , Amit Bhat (Thesis)

Information Processing in Two-Dimensional Cellular Automata , Martin Cenek (Dissertation)

Scalable and Efficient Tasking for Dynamic Sensor Networks , Thanh Xuan Dang (Dissertation)

On the Effect of Topology on Learning and Generalization in Random Automata Networks , Alireza Goudarzi (Thesis)

HOLCF '11: A Definitional Domain Theory for Verifying Functional Programs , Brian Charles Huffman (Dissertation)

A Functional Approach to Memory-Safe Operating Systems , Rebekah Leslie (Dissertation)

Factoring Semiprimes Using PG2N Prime Graph Multiagent Search , Keith Eirik Wilson (Thesis)

High Speed Wireless Networking for 60GHz , Candy Yiu (Dissertation)

Theses/Dissertations from 2010 2010

Extensible Scheduling in a Haskell-based Operating System , Kenneth William Graunke (Thesis)

Addressing Automated Adversaries of Network Applications , Edward Leo Kaiser (Dissertation)

An Automata-Theoretic Approach to Hardware/Software Co-verification , Juncao Li (Dissertation)

Practical Type Inference for the GADT Type System , Chuan-kai Lin (Dissertation)

Scalable event tracking on high-end parallel systems , Kathryn Marie Mohror (Dissertation)

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All of our academic staff are research active, working with a team of post-graduate and post-doctoral researchers and a lively population of research students. Our research focuses on core themes of theoretical and practical computer science: artificial intelligence and symbolic computation, networked and distributed systems, systems engineering, and human computer interaction.

For more information please visit the School of Computer science home page.

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

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Model agnostic interpretability , enhancing privacy for secure internet communications using ilnp , processing clinical guideline text for formal verification , automatic evaluation of geopolitical risk , automating inventory composition management for bulk purchasing cloud brokerage strategy .

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How to search for Harvard dissertations

• DASH , Digital Access to Scholarship at Harvard, is the university's central, open-access repository for the scholarly output of faculty and the broader research community at Harvard.  Most Ph.D. dissertations submitted from  March 2012 forward  are available online in DASH.
• Check HOLLIS, the Library Catalog, and refine your results by using the   Advanced Search   and limiting Resource  Type   to Dissertations
• Search the database  ProQuest Dissertations & Theses Global Don't hesitate to  Ask a Librarian  for assistance.

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Idrees, Ifrah

• Stefanie A Tellex , advisor

Kumar, Indra

• Suresh Venkatasubramanian , advisor

Nguyen, Thao

Nokiz, Pegah

Ren, Yanyan

• Kathi Fisler , advisor

Rosenbloom, Leah

• Anna Lysyanskaya , advisor

Traylor, Aaron

• Ellie Pavlick , advisor

Zerveas, George

• Carsten Eickhoff , advisor

Abbatematteo, Ben - Exploiting Structure for Efficient Robotic Manipulation

• George D. Konidaris , advisor

Allen, Cameron

Corsaro, Matthew - Learning Task-Specific Grasps

Ebert, Dylan

Engel, Daniel

• Maurice P Herlihy , advisor

Ibrahim, Abdelrahman

• Sherief Reda , advisor

Kristo, Ani

Lee, Jun Ki

Lovering, Charles

Markatou, Evangelia

• Roberto Tamassia , advisor

Naseer, Usama

•Theophilus Benson, advisor

Patel, Roma

Rahimzadeh Ilkhechi, Amir

• Ugur Cetintemel , advisor

Rosen, Eric

Spiegelberg, Leonhard

• Malte Schwarzkopf , advisor

Wallace, Shaun

• Jeff Huang , advisor

Wang, Kai - Learning Autoregressive Generative Models of 3D Shapes and Scenes

• Daniel C Ritchie , advisor

Webson, Albert - Tuning Language Models to Follow Instructions

Xue, Yingjie

Zheng, Kaiyu

Computer Science at Brown University Providence, Rhode Island 02912 USA Phone: 401-863-7600 Map & Directions / Contact Us

The M.S. Thesis Track

The MS Thesis track is for students who want to concentrate on research in some sub-field of Computer Science.  You are required to arrange for a Computer Science Faculty member who agrees to advise the thesis and the rest of your course selection prior to selecting the track.

SUMMARY OF REQUIREMENTS

• Complete a total of  30 points  (Courses must be at the 4000 level or above)
• Maintain at least a  2.7  overall GPA. (No more than 1 D is permitted).
• Complete the  Columbia Engineering Professional Development & Leadership (PDL)  requirement
• Satisfy  breadth requirements
• Take at least  6 points  of technical courses at the 6000 level
• At most, up to 3 points of your degree can be Non-CS/Non-track If they are deemed relevant to your track and sufficiently technical in nature. Please submit the course syllabus to your CS Faculty Advisor for review, and then forward the approval confirmation email to [email protected]

1. BREADTH REQUIREMENT

Visit the breadth requirement page for more information.

2. REQUIRED TRACK COURSES (9 credits)

Students must take 9 credits of COMS E6902 Thesis. The points are typically spread over multiple semesters, e.g., 3 points each for 3 semesters or 4.5 points each for 2 semesters. No more than 9 points of E6902 may be taken. Sign up for the section number of E6902 associated with your thesis advisor.

3. ELECTIVE TRACK COURSES

Students are required to complete 9 elective credits of graduate courses (4000-level or above) selected from Computer Science and/or related areas together with your faculty thesis advisor. These would normally be strongly related to your thesis topic.

Up to 3 of these points may be in COMS E6901 Projects in Computer Science.

Please note:

The  degree progress checklist should be used to keep track of your requirements. if you have questions for your track advisor or cs advising, you should have an updated checklist prepared, due to a significant overlap in course material, ms students not in the machine learning track can only take 1 of the following courses – coms 4771, coms 4721, elen 4903, ieor 4525, stat 4240, stat 4400/4241/5241 – as part of their degree requirements, the elective track courses cannot be imported from another institution., 4. general electives.

Students must complete the remaining credits of General Elective Courses at the 4000 level or above. At least three of these points must be chosen from either the Track Electives listed above or from the CS department at the 4000 level or higher.

Students may also request to use at most 3 points of Non-CS/Non-Track coursework if approved by the process listed below.

5. THESIS DEFENSE

A thesis proposal is presented to your thesis committee at least three months before your defense. Your thesis committee should have three members. Two of them must be internal, but one can be an outsider. Please bring the thesis defense form to your defense. Once completed, please submit the form to CS Advising via email: [email protected].

The thesis cannot be imported from another institution.

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In the News

Press mentions, dean boyce's statement on amicus brief filed by president bollinger.

President Bollinger announced that Columbia University along with many other academic institutions (sixteen, including all Ivy League universities) filed an amicus brief in the U.S. District Court for the Eastern District of New York challenging the Executive Order regarding immigrants from seven designated countries and refugees. Among other things, the brief asserts that “safety and security concerns can be addressed in a manner that is consistent with the values America has always stood for, including the free flow of ideas and people across borders and the welcoming of immigrants to our universities.”

This recent action provides a moment for us to collectively reflect on our community within Columbia Engineering and the importance of our commitment to maintaining an open and welcoming community for all students, faculty, researchers and administrative staff. As a School of Engineering and Applied Science, we are fortunate to attract students and faculty from diverse backgrounds, from across the country, and from around the world. It is a great benefit to be able to gather engineers and scientists of so many different perspectives and talents – all with a commitment to learning, a focus on pushing the frontiers of knowledge and discovery, and with a passion for translating our work to impact humanity.

I am proud of our community, and wish to take this opportunity to reinforce our collective commitment to maintaining an open and collegial environment. We are fortunate to have the privilege to learn from one another, and to study, work, and live together in such a dynamic and vibrant place as Columbia.

Mary C. Boyce Dean of Engineering Morris A. and Alma Schapiro Professor

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Recent CS Masters Theses

The following is a list of some of the recently completed CS Masters Theses.

Home > Arts and Sciences > Computer Science > COMPUTERSCIENCEETD

Computer Science Theses, Dissertations, and Masters Projects

Theses/dissertations from 2024 2024.

Low-Rank Matrix And Tensor Models For Data Science Applications , Jeremy Moulton Myers

Learning-Based Sensing For Solving Health-Related Problems , Minglong Sun

Exploring Transient Execution Vulnerabilities, Side-Channel Attacks, And Defenses , Tao Zhang

Theses/Dissertations from 2023 2023

Appearance Driven Reflectance Modeling , James Christopher Bieron

Domain-Specific Optimization For Machine Learning System , Yu Chen

Intelligent Software Tooling For Improving Software Development , Nathan Allen Cooper

Amsel Criteria Based Computer Vision For Bacterial Vaginosis Diagnosis , Daniel Edwards Highland

Learning-Based Ubiquitous Sensing For Solving Real-World Problems , Woosub Jung

Recoverable Memory Bank For Class-Incremental Learning , Jiangtao Kong

A Reevaluation Of Why Crypto-Detectors Fail: A Systematic Revaluation Of Cryptographic Misuse Detection Techniques , Scott Marsden

Achieving Real-Time Dnn Execution On Mobile Devices With Compiler Optimizations , Wei Niu

Matfusion: A Generative Diffusion Model For Svbrdf Capture , Samuel Lee Sartor

A Comprehensive Study Of Bills Of Materials For Software Systems , Trevor Stalnaker

Program Analysis For Software Engineers And Students , Jialiang Tan

Efficient Parallelization Of Irregular Applications On Gpu Architectures , Qihan Wang

Exploring Software Licensing Issues Faced By Legal Practitioners , Nathan James Wintersgill

Theses/Dissertations from 2022 2022

Flexible And Robust Iterative Methods For The Partial Singular Value Decomposition , Steven Goldenberg

Techniques For Accelerating Large-Scale Automata Processing , Hongyuan Liu

Enabling Practical Evaluation Of Privacy Of Commodity-Iot , Sunil Manandhar

Exploring Multi-Level Parallelism For Graph-Based Applications Via Algorithm And System Co-Design , Zhen Peng

Communication And Computation Efficient Deep Learning , Zeyi Tao

Practical Gpgpu Application Resilience Estimation And Fortification , Lishan Yang

Theses/Dissertations from 2021 2021

On Supporting Android Software Developers And Testers , Carlos Eduardo Bernal Cardenas

Data-Driven Reflectance Estimation Under Natural Lighting , Victoria Cooper

Rethinking Cache Hierarchy And Interconnect Design For Next-Generation Gpus , Mohamed Assem Abd ElMohsen Ibrahim

Low-Overhead Techniques For Secure And Reliable Gpu Computing , Gurunath Kadam

Revisiting Isolation For System Security And Efficiency In The Era Of Internet Of Things , Lele Ma

Epidemic Spread Modeling For Covid-19 Using Hard Data , Anna Schmedding

Performance Optimization With An Integrated View Of Compiler And Application Knowledge , Ruiqin Tian

High-Dimensional Machine Learning Models In Fintech , Qiong Wu

Distributed Byzantine Tolerant Machine Learning , Qi Xia

Combining Performance Profiling And Modeling For Accuracy And Efficiency , Hao Xu

Theses/Dissertations from 2020 2020

Single Image Direct-Global Illumination Separation , Zhaoliang Duan

Exploring Heterogeneous Architectures With Tools And Applications , Du Shen

Understanding Performance Inefficiencies In Native And Managed Languages , Pengfei Su

Design And Analysis Of Memory Management Techniques For Next-Generation Gpus , Haonan Wang

Dietary Monitoring Through Sensing Mastication Dynamics , Shuangquan Wang

Hardware-Assisted Security Mechanisms On Arm-Based Multi-Core Processors , Shengye Wan

Wearable Technology For Healthcare And Athletic Performance , Amanda Annette Watson

Deep Learning In Software Engineering , Cody Watson

Pinpointing Software Inefficiencies With Profiling , Shasha Wen

Motion Sensors-Based Human Behavior Recognition And Analysis , Hongyang Zhao

On Cross-Series Machine Learning Models , Xiaodan Zhu

Theses/Dissertations from 2019 2019

Research on Efficiency and Security for Emerging Distributed Applications , Zijiang Hao

On Enhancing Security of Password-Based Authentication , Yue Li

Improving Wifi Sensing And Networking With Channel State Information , Yongsen Ma

GPGPU Reliability Analysis: From Applications to Large Scale Systems , Bin Nie

Learning Code Transformations via Neural Machine Translation , Michele Tufano

Theses/Dissertations from 2018 2018

Usability, Efficiency and Security of Personal Computing Technologies , Nancy Carter

Investigating Emerging Security Threats in Clouds and Data Centers , Xing Gao

Mixed-Weight Open Locating-Dominating Sets , Robin M. Givens

On Improving (Non)Functional Testing , Qi Luo

Automating Software Development for Mobile Computing Platforms , Kevin Patrick Moran

Exploring New Paradigms for Mobile Edge Computing , Yutao Tang

Assisting Software Developers With License Compliance , Christopher Vendome

Understanding and Enriching Randomness Within Resource-Constrained Devices , Kyle Wallace

Enhancing Usability, Security, and Performance in Mobile Computing , Shanhe Yi

Quantifying and Explaining Causal Effects of World Bank Aid Projects , Jianing Simulation Zhao

Theses/Dissertations from 2017 2017

On The Impact of Internet Naming Evolution: Deployment, Performance, and Security Implications , Shuai Hao

Security Enhancements in Voice Over Ip Networks , Seyed Amir Iranmanesh

Automatically Documenting Software Artifacts , Boyang Li

Data-Driven Radiometric Photo-Linearization , Han Li

An Investigation of Power Saving and Privacy Protection on Smartphones , Dachuan Liu

Enhancing Energy Efficiency and Privacy Protection of Smart Devices , Ge Peng

Enhancing Usability and Security through Alternative Authentication Methods , Nicolas Jorge Van Balen

Deep Learning Software Repositories , Martin White

Workload Prediction for Efficient Performance Isolation and System Reliability , Ji Xue

Exploiting Power for Smartphone Security and Privacy , Qing Yang

Theses/Dissertations from 2016 2016

Enhancing The Sensing Capabilities of Mobile and Embedded Systems , Daniel George Graham

Methods for Estimating The Diagonal of Matrix Functions , Jesse Harrison Laeuchli

Supporting Evolution and Maintenance of android Apps , Mario Linares-Vasquez

The Impact of Surface Normals on Appearance , Kathleen Dorothy Moore

Enhancing Mobile Device System using Information from Users and Upper Layers , Dung Nguyen Tien

Security and Privacy for Ubiquitous Mobile Devices , Edmund Novak

Security Supports for Cyber-Physical System and its Communication Networks , Zhengrui Qin

Rethinking Privacy and Security Mechanisms in Online Social Networks , Xin Ruan

Protecting Web Contents Against Persistent Crawlers , Shengye Wan

Managing Micro Vms in Amazon Ec2 , Jiawei Wen

Algorithms for Large Scale Problems in Eigenvalue and Svd Computations and in Big Data Applications , Lingfei Wu

Investigating Fraudulent and Privacy Activities in Online Business. , Haitao Xu

Understanding Security Threats in Cloud , Zhang Xu

Workload Interleaving with Performance Guarantees in Data Centers , Feng Yan

Theses/Dissertations from 2015 2015

Configuring and Assembling Information Retrieval based Solutions for Software Engineering Tasks. , Bogdan Dit

Enhancing Bug Reports for Mobile Apps , Kevin Patrick Moran

Providing efficient services for smartphone applications , Yifan Zhang

Enabling Parallel Execution via Principled Speculation. , Zhijia Zhao

Advancing Feedback-Driven Optimization for Modern Computing. , Mingzhou Zhou

Theses/Dissertations from 2014 2014

Towards Secure, Power-Efficient and Location-Aware Mobile Computing , Hao Han

Studying and Enabling Reuse in android Mobile Apps , andrew Steven Holtzhauer

Effective Resource and Workload Management in Data Centers , Lei Lu

Matching non-uniformity for program optimizations on heterogeneous many-core systems , Bo Wu

Exploiting behavioral biometrics for user security enhancements , Nan Zheng

Theses/Dissertations from 2013 2013

Real-Time High-Quality Image to Mesh Conversion for Finite Element Simulations , Panagiotis Foteinos

Translating Spatial Problems into Lumpable Markov Chains , Ruth Elizabeth Lamprecht

Tracelab: Reproducing Empirical Software Engineering Research , Evan Alexander Moritz

Network Traffic Aware Smartphone Energy Savings , andrew Joseph Pyles

Improving Security and Privacy in Online Social Networks , Wei Wei

Improving Energy Efficiency and Security for Pervasive Computing Systems , Fengyuan Xu

Theses/Dissertations from 2012 2012

Detecting Abnormal Behavior in Web Applications , Zi Chu

Information Integration for Software Maintenance and Evolution. , Malcom Bernard Gethers II

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UMD Alum Eleftheria Briakou Wins Best Thesis Award for Machine Translation Research

Eleftheria Briakou (Ph.D. ’23, computer science) recently received the Best Thesis Award from the Association for Machine Translation in the Americas (AMTA). Now a research scientist at Google, Briakou was recognized for her dissertation, "Detecting Fine-Grained Semantic Divergences to Improve Translation Understanding Across Languages," which was commended for its innovative approach and significant contributions to machine translation.

Briakou’s advisor, Associate Professor Marine Carpuat , guided her work, which addresses key challenges in translation by developing methods to automatically detect subtle meaning differences between translated texts. These fine-grained semantic divergences—small but significant variations in meaning—pose challenges for human and machine translators. Briakou’s research explored how detecting these differences could improve translation accuracy, particularly for complex texts.

In her dissertation, she developed algorithms to flag meaning shifts, helping to identify translation errors that might otherwise be overlooked. This work is especially relevant as artificial intelligence-powered systems are increasingly relied upon to translate legal, medical and technical documents, where accuracy is crucial.

Briakou highlighted the importance of her research, given advancements in artificial intelligence and machine learning.

 "As translation systems' quality continues to improve, detecting fine-grained meaning differences becomes increasingly critical," Briakou said. "This is particularly important in light of the emergence of Large Language Models (LLMs). These models exhibit remarkable fluency, which can occasionally lead to over-reliance. Additionally, LLMs are progressively capable of translating lengthy texts. In such scenarios, developing automatic tools that can help humans detect even localized meaning differences becomes essential, as humans might easily overlook such differences due to the highly fluent outputs or the sheer volume of text."

Briakou’s current work at Google builds on her dissertation research, focusing on applying large language models to translation tasks. 

"In my new role as a research scientist at Google Translate, my primary focus remains machine translation, particularly within the realm of Large Language Models," Briakou shared. "Currently, my research centers around reimagining machine translation as a process that involves modeling intermediate reasoning steps that explain translation decisions."

As she reflected on the significance of the recognition, she acknowledged the people who played a crucial role in her success.

"Receiving this award is a true honor, and it wouldn't have been possible without the incredible support I've received throughout my Ph.D. journey," she said. "I am deeply grateful to all the wonderful mentors and collaborators who have contributed to my growth. In particular, I want to thank Marine for her invaluable guidance in steering me towards this research direction and the CLIP lab for fostering such a positive and supportive research environment."

About the Association for Machine Translation in the Americas:

The AMTA  is part of the International Association for Machine Translation (IAMT), a global organization supporting machine translation research. Founded in 1991, AMTA represents North America and collaborates with its sister organizations, the Asian-Pacific Association for Machine Translation (AAMT) and the European Association for Machine Translation (EAMT). Together, these groups promote collaboration among researchers and practitioners, offering a platform for sharing developments in translation technology.

—Story by Samuel Malede Zewdu, CS Communications 

The Department welcomes comments, suggestions and corrections.  Send email to editor [-at-] cs [dot] umd [dot] edu .

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Does super micro computer's delayed filing change its investment thesis.

One of the most profound disappointments of the recent Super Micro Computer (NASDAQ: SMCI) earnings report came from an unexpected source. The disappointment did not come from the earnings release itself. That showed that the massive growth earned from selling servers containing Nvidia 's artificial intelligence (AI) chips had continued.

Instead, it began when short-seller research company Hindenburg Research released a report alleging accounting irregularities with Super Micro. Soon after, Super Micro announced that it would delay the release of its 10-K for the fourth quarter of fiscal 2024 (ended June 30).

The stock fell 19% in the trading session following that delay. Even though it has regained some of that lost value, it leaves investors questioning whether they should continue to invest in the Super Micro growth story or stay away.

Making sense of the accounting issues

Admittedly, the gut reaction of dumping stock in this type of situation makes sense from a certain point of view. Such actions leave investors wondering about the extent of any restatements Super Micro makes. As of now, nobody knows whether any possible restatements will be relatively meaningless, or whether they will radically change Super Micro's investment thesis.

Indeed, this is difficult for me on a personal level. Considering its growth rate and potential for more growth, it became one of my favorite AI stocks . Hence, I bought shares when it became available at a more reasonable valuation.

Nonetheless, just days after I bought Super Micro stock, I am now compelled to question my own investing call and advise risk-averse investors to pass on Super Micro.

Additionally, the incident serves as a reminder of one critical reason why investing experts encourage diversification. Whenever shareholders invest in an individual stock, they face a remote but real possibility that the company has reported inaccurate numbers.

This does not mean investors should assume that Super Micro is the next Enron, or even that the delayed filing will uncover inaccuracies. However, diversifying does limit the damage investors can face from a potential accounting irregularity at one company, making it a safeguard all investors should consider.

The case for staying with Super Micro

When incorporating such protections, investors can also make a case for buying Super Micro right now, assuming they can tolerate the risk.

The most obvious benefit is the lower stock price. At around $385 per share as of this writing, it sells at a 68% discount from the $1,229 per share peak it set five months ago.

It also sells at a price-to-earnings (P/E) ratio of 19. Assuming the fiscal Q4 figures stand when Super Micro finally releases the 10-K, the 82% increase in net income from year-ago levels means that's a low multiple, considering its massive growth rate.

Moreover, despite the questions surrounding the upcoming 10-K report, Super Micro's rapid growth is likely genuine. After all, its partner Nvidia continues to report triple-digit revenue growth, primarily because of the popularity of its AI chips -- which often go into Super Micro's servers.

That growth will probably continue. Allied Market Research predicts a compound annual growth rate of 38% for the AI chip industry through 2032. In fiscal Q4, Super Micro reported 143% revenue growth, far ahead of the expected industry growth. Considering Super Micro's critical support role in the AI realm, the company should continue to exceed that growth rate for years to come.

Should I still invest in Super Micro stock?

At current levels, Super Micro stock looks like a buy -- if you can handle the risk.

Admittedly, the uncertainty surrounding Super Micro's filings should keep risk-averse investors out of the stock. More risk-tolerant investors should also avoid large Super Micro bets until it releases the delayed 10-K.

However, Super Micro stock sells at a very cheap valuation, and the industry growth trends driving the stock are not in doubt. Assuming the company can move on from this uncertainty, its stock could surge significantly higher from current levels.

Should you invest $1,000 in Super Micro Computer right now?

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There’s no stopping me

Bachelor of science in computer science, informed by silicon valley trends and tech industry needs, the bs in computer science (cs) provides comprehensive theoretical and practical training in a range of cs subjects; they include — but are not limited to — artificial intelligence (ai), cybersecurity, data science, operating systems and object-oriented analysis.  .

Units (Both in-person and online coursework available )

Average units  per semester

Cost per unit (2023-2024 rate)

Maximum  transferrable units

Program and Learning Objectives

Graduates of the bachelor’s in CS program from SFBU will be able to unite modern technology concepts with a fluency in the tools they govern to lead the Silicon Valley of today — and tomorrow.

Beyond their technical prowess, students who complete the program will achieve mastery of the following industry-aligned competencies:

• Written and Oral Communication: Succinctly and clearly capture complex CS concepts through the written and spoken word for a range of audiences. 
• Quantitative Reasoning and Problem Solving: Apply a deep knowledge of data management, algorithms, networks, and quantitative analysis tools to devise efficient and creative solutions.
• Information Literacy: Search for, locate and utilize information pertaining to current computing practices and software tools to meet common industry challenges.
• Inquiry, Analysis and Critical Thinking: Demonstrate holistic, rational thinking over the selection and application of suitable computing solutions grounded in modern CS principles.
• Specialized Knowledge: Leverage an understanding of core CS tenets and technologies to complete real-world programming assignments.

Graduation Requirements

SFBU requires a minimum of 120 units for graduation. We break them down into the following quantities and categories:

• 12 units in English language communication and critical thinking
• 16 units in mathematics and natural sciences
• 6 units in arts and humanities
• 6 units in social sciences
• 50 of which are required
• 15 of which are chosen from the specialization courses  
• 15 units of electives  

Computer Science Curriculum

The following required core courses cover modern CS disciplines and tools:  

• CS200: Discrete Logic (3)
• CS230: Linux and Shell Scripting (3)
• CS230L: Linux and Shell Scripting Lab (1)
• CS250: Introduction to Programming (3)
• CS250L: Introduction to Programming Lab (1)
• CE305: Computer Organization (3)
• CS350 Data Structures (3)
• CS350L: Data Structures Lab (1)
• CS360: Programming in C and C++ (3)
• CS360L: Programming in C and C++ Lab (1)
• CS380: Operating Systems (3)
• BUS450: Professional and Technical Writing (3)
• P450: Career Development (1)
• CS455: Algorithms & Structured Programming (3)
• CS457: Data Modeling and Implementation Techniques (3)
• CS457L: Database Technologies Lab (1)
• CS480: Java and Internet Applications (3)
• CS480L: Java Programming Lab (1)
• CS483: Fundamentals of Artificial Intelligence (3)
• CS483L: Artificial Intelligence & Machine Learning Lab (1)
• CS487: Object-oriented Design and Implementations (3)
• CS494: Senior Capstone Project – I (3)

Students select five additional courses from the specialization pool below:

• CE450: Fundamentals of Embedded Engineering (3)
• CS453: Compiler Design (3)
• CS470: Network Engineering and Management (3)
• CS477: Ethical Hacking and Penetration Testing (3)
• CS478: Blockchain Technology and Applications (3)
• CS481: Introduction to Data Science (3)
• CS485: JavaScript and Internet Programming (3)

Elective Coursework

A minimum of 15 units of elective coursework promotes a breadth of knowledge, in addition to the technical depth of their degree program. Though students may select courses in any discipline, prerequisites and corequisites must be met. 

When applicable, students may take curricular practicum training (CPT) to earn credit for internship-based projects directly related to their course of study.

Spring classes start

Summer classes start, program format,    in-person classes, related programs.

Master of Science in Computer Science (MSCS)

Pennsylvania 4-H Launches a Computer Science Ambassador Team

Posted: September 10, 2024

The Pennsylvania 4-H STEM program recently launched a computer science ambassador team comprised of Aadit Shah, Arush Dubey, and Ronak Suchindra, 4-H members from Chester County.

Left to right: Ronak Suchindra, Aadit Shah, and Arush Dubey

As part of the science, technology, engineering, and math initiative, this team will teach and lead computer science learning opportunities. Here’s a bit about each member:

• Aadit Shah participates in 4-H robotics clubs and enjoys riding his bike and playing soccer. “I want students to be more interested in STEM fields such as robotics and engineering and would like to teach youth about future technologies such as AI and machine learning in a simple way,” he said.
• Arush Dubey likes working with computers and playing soccer. “I would like to spread STEM to more people and add more diversity to the field along with adding more leadership roles,” he said.
• Ronak Suchindra enjoys 3D printing and teaching youth through his nonprofit organization, Kids Connect. As an ambassador, he aims to provide youth with new experiences and resources so they can continue to discover and build on their passions.

“We began recruiting computer science ambassadors as part of the Computer Science Pathways grant from Google and the National 4-H Council,” said Amanda Kanouff, 4-H youth development educator with Penn State Extension.

This grant provided funds to assist with programming expenses and equipped ambassadors with tools they can use for computer science programming efforts. The teens also received training at the 2023 Ignite by 4-H conference in Washington, D.C., where 4-H members ages 14-19 explored topics and career pathways related to STEM.

This summer, the computer science ambassadors hosted day camps on topics such as 3D printing, programmable robots, circuits and even ice cream making. In addition, Dubey is launching a new STEM club with monthly meetings.

The ambassadors also serve as STEM State Project Ambassadors, bringing youth perspectives to statewide programs. Mentored by 4-H state specialists, they provide input on events, curricula and initiatives.

Administered in Pennsylvania by Penn State Extension, 4-H is a nonformal educational youth-development program of the U.S. Department of Agriculture that helps young people develop knowledge and skills to become capable, caring and contributing citizens. To find your local program, visit the Pennsylvania 4-H website .

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