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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.

Thesis Writing Services by iResearchNet

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MIT Libraries

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.

MIT Theses are openly available to all readers. Please share how this access affects or benefits you. Your story matters.

If you have questions about MIT theses in DSpace, [email protected] . See also Access & Availability Questions or About MIT Theses in DSpace .

If you are a recent MIT graduate, your thesis will be added to DSpace within 3-6 months after your graduation date. Please email [email protected] with any questions.

Permissions

MIT Theses may be protected by copyright. Please refer to the MIT Libraries Permissions Policy for permission information. Note that the copyright holder for most MIT theses is identified on the title page of the thesis.

Theses by Department

Comparative Media Studies
Computation for Design and Optimization
Computational and Systems Biology
Department of Aeronautics and Astronautics
Department of Architecture
Department of Biological Engineering
Department of Biology
Department of Brain and Cognitive Sciences
Department of Chemical Engineering
Department of Chemistry
Department of Civil and Environmental Engineering
Department of Earth, Atmospheric, and Planetary Sciences
Department of Economics
Department of Electrical Engineering and Computer Sciences
Department of Humanities
Department of Linguistics and Philosophy
Department of Materials Science and Engineering
Department of Mathematics
Department of Mechanical Engineering
Department of Nuclear Science and Engineering
Department of Ocean Engineering
Department of Physics
Department of Political Science
Department of Urban Studies and Planning
Engineering Systems Division
Harvard-MIT Program of Health Sciences and Technology
Institute for Data, Systems, and Society
Media Arts & Sciences
Operations Research Center
Program in Real Estate Development
Program in Writing and Humanistic Studies
Science, Technology & Society
Science Writing
Sloan School of Management
Supply Chain Management
System Design & Management
Technology and Policy Program

Collections in this community

Doctoral theses, graduate theses, undergraduate theses, recent submissions.

Transport Properties of Divertor Edge Plasmas Measured with Multi-Spectral Imaging

Entanglement and Chaos in Quantum Field Theory and Gravity

Illuminating the Cosmos: dark matter, primordial black holes, and cosmic dawn

Show Statistical Information

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.

However, we do run an informal optional series of Senior Thesis meetings in the Fall to help with the thesis writing process, focused on topics such as technical writing tips, work-shopping your senior thesis story, structure of your thesis, and more. Pay attention to your email in the Fall for announcements about this series of meetings.

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

ScholarWorks

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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Home | About | FAQ | My Account | Accessibility Statement

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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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MS in Computer Science (Thesis Option)

Overview of degree.

The Master’s of Science degree in Computer Science (Thesis Option) at The University of Georgia is a comprehensive program of study intended to give qualified and motivated students a thorough foundation in the theory, methodology, and techniques of Computer Science. Students who successfully complete this program of study will have a grasp of the principles and foundations of Computer Science. They will be prepared to pursue higher academic goals, including the Doctor of Philosophy degree. They will obtain skills and experience in up-to-date approaches to analysis, design, implementation, validation, and documentation of computer software and hardware. With these skills they will be well qualified for technical, professional, or managerial positions in government, business, industry, and education.

Prospective students are advised to consult The University of Georgia Graduate Bulletin for institutional information and requirements.

Admission Requirements

In addition to the general University of Georgia policies set forth in the Graduate Bulletin, the following school policies apply to all applicants:

1. A Bachelor’s Degree is required, preferably with a major in Computer Science or an allied discipline. Students with insufficient background in Computer Science must take undergraduate Computer Science courses to remedy any deficiencies (in addition to their graduate program). A sufficient background in Computer Science must include at least the following courses (or their equivalent):

Course Name	Description
MATH 2250	Calculus I (Differential Calculus)
MATH 2260	Calculus II (Integral Calculus)
CSCI 1301	Introduction to Computing and Programming
CSCI 1302	Software Development
CSCI 1730	Systems Programming
CSCI/MATH 2610	Discrete Mathematics for Computer Science
CSCI 2670	Introduction to Theory of Computing
CSCI 2720	Data Structures

2. Admission to this program is selective; students with a record of academic excellence have a better chance of acceptance. Students with exceptionally strong undergraduate records may apply for admission to the graduate program prior to fulfilling all of the above requirements.

3. Graduate Record Examination (GRE) test scores are required for admission consideration. International applicants also need TOEFL or IELTS official test scores. GRE waiver is not provided.

4. Three letters of recommendation are required, preferably written by university professors familiar with the student's academic work and potential. If the student has work experience, one letter may be from his/her supervisor. Letters should be sent directly from the letter writer.

5. A one- or two-page personal statement outlining the student's background, achievements, and future goals is required.

6. A recent copy of a resume is required.

Graduate School Requirements

Additional requirements are specified by the Graduate School (application fee, general application forms, all transcripts, etc.). Please see the University of Georgia Bulletin for further information. Detailed admissions information may be found at Graduate School Admissions. Printed information may be obtained by contacting the

University of Georgia Graduate School Brooks Hall 310 Herty Drive Athens, GA 30602 phone: 706-542-1739 fax: 706-425-3094 e-mail: [email protected]

Applications are processed on a year round basis. Students can be admitted for either semester (Fall or Spring). Please visit the Graduate School for application submission deadlines.

The curriculum consists of at least 30 credit hours of resident graduate coursework. This includes the following five items:

at least 12 credit hours of Core CSCI graduate coursework at the 6000-level (see “Core Curriculum” below);
at least 8 credit hours of Advanced CSCI graduate coursework at the 6000/8000- level (see “Advanced Coursework” below); the above (items 1 & 2) must include 12 credit hours of coursework open only to graduate students, exclusive of 6950 and 8990, as per Graduate School Policy; @6000 level must be graduate student only course and not used in the core curriculum.
at least 1 credit hour of CSCI 8990 Research Seminar (see “Research Seminar” below);
at least 6 credit hours of CSCI 7000 Master’s Research (see Master’s Research below);
at least 3 credit hours of CSCI 7300 Master's Thesis (see Master's Thesis below)

Typically, full-time students will take 9 to 15 hours per semester. See the CSCI section of the University of Georgia Bulletin for course descriptions. A program of study should be a coherent and logical whole; it requires the approval of the student's major professor, the student's advisory committee, and the school's graduate coordinator.

Note: no course with a grade of C+ or lower may be included on the student’s Program of Study (see the Graduate Bulletin for other GPA constraints).

Core Curriculum (Item #1)

At least one course from each of the following three groups must be taken:

Group 1: Theory

CSCI 6470 Algorithms CSCI 6480 Approximation Algorithms CSCI 6610 Automata and Formal Languages

Group 2: Software Design

CSCI 6050 Software Engineering CSCI 6370 Database Management CSCI 6570 Compilers

Group 3: System Design

CSCI 6720 Computer Systems Architecture CSCI 6730 Operating Systems CSCI 6760 Computer Networks: Technology and Application CSCI 6780 Distributed Computing Systems

The core curriculum consists of a total of 12 graduate credit hours.

Core Competency

Foundational computer science knowledge (core competency) in the core areas (Groups 1, 2, and 3, above) must be exhibited by each student and certified by the student’s advisory committee. This takes the form of achievement in core curriculum and completion of a short essay in their chosen area of research demonstrating technical writing and organization skills. A grade average of at least 3.30 (e.g., B+, B+, B+) must be achieved for the three core courses. Students below this average may take an additional core course and achieve a grade average of at least 3.15 (e.g., B+, B+, B, B).

Core competency is certified by the unanimous approval of the student's Advisory Committee as well as the approval by the Graduate Coordinator. The student’s advisory committee manages the core competency in cooperation with the student. Students are required to meet the core competency requirement within their first two enrolled academic semesters (excluding summer semester). Core Competency Certification must be completed before approval of the Program of Study.

Note: a course used to fulfill part of the core requirement (Item #1) may not be used to also fulfill part of the advanced coursework requirement (Item #2).

Advanced Coursework (Item #2)

Students must take at least 8 credit hours of advanced CSCI graduate student only coursework. This includes at least 4 credit hours at the 8000-level (i.e., at least one 8000-level course).

Note: a student may satisfy this 8 hour requirement using only 8000-level courses, or with 4 hours of 8000-level coursework and 4 hours of 6000-level coursework. In the case that a student uses a 6000-level course for advanced coursework, that course must be a graduate student only course . In no case shall a 6000-level course used to fulfill part of the advanced coursework requirement count toward the advanced coursework requirement AND the core curriculum requirement. In addition, neither CSCI 8990 nor CSCI 6950 may be used to fulfill this requirement.

Research Seminar (Item #3)

All students must take 1 credit hour of CSCI 8990 Research Seminar, in which they must attend weekly meetings of a research seminar and give presentations.

Master’s Research (Item #4)

The Master's research involves the student's investigations under the supervision of his/her major professor and requires the approval of the major professor and the advisory committee. The Master's research often includes original research into some area of Computer Science. It must demonstrate mastery of a particular area of Computer Science. The candidate's advisory committee assures that the quality of the research meets the standards of the School of Computing and the Graduate School. The candidate must register for CSCI 7000 Master's Research for at least 6 credit hours while working on the project.

Master's Thesis (Item #5)

The thesis is a report of the student's investigations under the supervision of his/her major professor and requires the approval of the major professor and the advisory committee. The thesis must demonstrate competent style and organization, and communicate technical knowledge. The thesis often includes original research into some area of Computer Science. It must demonstrate mastery of a particular area of Computer Science. The candidate's advisory committee assures that the quality of the thesis meets the standards of the School of Computing and the Graduate School. The candidate must register for CSCI 7300 Master's Thesis for at least 3 credit hours while working on the thesis.

Advisory Committee

The advisory committee will consist of one major professor and two additional members. At least two of the three members must be from the School of Computing.

Non-Departmental Requirements

Non-departmental requirements are set forth by the Graduate School (see the Graduate Bulletin). They concern residence, time limits, programs of study, acceptance of transfer credits, minimum GPAs, thesis, and thesis defense examination.

Graduation Requirements

A student admitted to the M.S. degree program will be advised by the graduate coordinator until a major professor is chosen.

Before the end of the second semester in residence, a student must begin submitting to the Graduate School, through the graduate coordinator, the following forms: (i) a Program of Study Form and (ii) an Advisory Committee Form. The Program of Study Form indicates how and when degree requirements will be met and must be formulated in consultation with the student's major professor. An Application for Graduation Form must also be submitted directly to the Graduate School.

Forms and Timing must be submitted as follows:

Advisory Committee Form (G130) - end of second semester
Core Competency Form (Departmental) - beginning of third semester
Program of Study Form (G138) – semester before the student’s last semester
Application for Graduation Form ( in Athena) - beginning of last semester
Approval Form for Master's Thesis (G 140) - last semester
ETD Submission Approval Form (G129) - last semester

See “Important Dates and Deadlines” on the Graduate School’s website.

Thesis Defense

After all coursework has been completed and the thesis has been approved by the student's major professor, the thesis is transmitted to the advisory committee at least two weeks before the thesis defense date. The thesis defense is an oral examination conducted by the student's advisory committee. All members of the advisory committee must be present at the defense. The advisory committee members including the major professor must vote on whether the student passed the defense and record their votes on the Approval Form for Master's Thesis, Defense. To pass the exam, at least two of the three votes must be passing.

Need more guidance?

Dr. Liming Cai and Dr. Kyu H. Lee Graduate Coordinator [email protected] (706) 542-2 911

Samantha Varghese Graduate Student Affairs Coordinator [email protected] 706) 542-3477

Would you like to download the information presented on this page?

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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

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

Parallel Arbitrary-precision Integer Arithmetic , Davood Mohajerani

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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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Engineering

Computer science, master of science in computer science.

Accelerate your upward career mobility with a master’s degree in computer science from the Virginia Commonwealth University (VCU) College of Engineering. We are among the best graduate programs in the nation as ranked by U.S. News and World Report . Combined with our industry connections and access to Richmond-area businesses, VCU Engineering is a solid choice for your continuing education.

More technology focused than traditional engineering tracks, the VCU Engineering master’s degree in computer science emphasizes self development of individuals currently engaged in science-, technology- and engineering-related fields. Both the theoretical and applied aspects of computer science are emphasized in this program, which encompasses the design, development and utilization of computers and software.

What you’ll learn

Our 30-credit program can be completed in about two years by full time students and allows students to specialize in areas of computer science like:

Artificial intelligence
Bioinformatics
Cloud computing
Cybersecurity, robotics
Data mining
Data science
High performance
Machine learning
Natural language processing
Software engineering
Virtual reality

You will develop the advanced software design and problem solving skills sought by many employers. By applying creativity to form innovative solutions, master’s program students will use their knowledge to solve technological problems to meet the needs of our changing society and advance the quality of human life.

The VCU College of Engineering is etched into the landscape of Richmond, giving students access to a culturally vibrant and diverse city full of potential. We focus on developing close partnerships with public institutions and private businesses in order to give you unique learning and job opportunities.

Master’s program students also have access to benefits like:

Faculty who are industry experts , finding innovative solutions in their fields with well-funded labs and industry partnerships
Design your own path to education with flexible electives and focus on computer science and engineering topics you are passionate about
Dedicated Career Services department that provides internship and employment opportunities
Industry connections through college partnerships with public and private industry
Interdisciplinary education to teach collaboration with engineering practitioners outside your field of stud

Reference the VCU Bulletin for a full list of computer science classes. Master’s program courses are 500 level and above (for example, EGMN 605). Below are a few signature courses from the program:

Advanced Algorithms (CMSC501): Dive into advanced graph algorithms, advanced data structures, applied numerical algorithms, optimization methods, approximation methods for hard graph and string problems and computational geometry algorithms.
High Performance Distributed Systems (CMSC603): Understand the concepts underlying distributed systems and analyze problems to identify performance bottlenecks, parallelization opportunities and concurrency issues in a distributed environment. Create distributed and scalable implementations using multiple hosts/GPUs while designing and implementing algorithms using Hadoop, Spark and CUDA.
Knowledge Discovery and Data Mining (CMSC635): Learn knowledge discovery and data mining concepts, tools and methods with hands-on projects involving analysis of large, real-life data. Topics include the knowledge discovery process; data storage and representation; preprocessing algorithms for missing data imputation; feature selection and discretization; unsupervised learning algorithms for clustering and association mining; supervised learning algorithms including decision trees; Bayesian models and introduction to support vector machines and neural networks; ensemble learning; protocols and measures for validation of predictive models; and data security and privacy issues.
Artificial Neural Networks and Deep Learning (CMSC636): Become familiar in a range of topics like fundamental learning rules; functional, cascade correlational, recurrent and gradient descent networks; neocognition, softmax, deep convolutional networks; autoencoders; and pre-trained deep learning (restricted Boltzmann machines).

A graduate degree in computer science can facilitate career advancement in a number of industries like:

Commercial banking and credit
Information technology
Internet and telecommunications
Investment banking

Consider possibilities like:

Computer systems analyst: Computer systems analysts, or systems analysts, help organizations use computer technology efficiently and effectively. They analyze present systems or processes to identify areas of improvement, make recommendations and provide cost-benefit analyses to determine whether to upgrade or replace systems.
Cyber security engineering director: A cyber security engineer develops and implements an organization's security protocols and systems. They often identify security solutions, develop and implement defense layers, respond to attempts at network intrusion, configure and install detection systems and firewalls. Security engineers often also test system defenses, software and hardware.
Senior software developer: A senior software developer designs applications or software a user may use to perform a specific task. This may be a specific application or software or it may be a larger system or network related to control or device networks. Senior software developers often assess and improve systems, write new code, develop operational manuals and submit progress reports for the project.

With the help of our Career Services team, VCU College of Engineering graduates have many opportunities to network with alumni and industry professionals. Our students work at companies like:

Black Knight Technology Inc.
Blue River Technology
Capital One
CoStar Group
Federal Reserve Bank of Richmond
Micron Technology Inc.
MITRE Corporation
NT Concepts

How to apply

VCU offers an online, self-managed application process. See what’s needed to apply for an engineering graduate program and reference our list of Frequently Asked Questions (FAQ) .

Start your application

St Andrews Research Repository

St Andrews Research Repository
Computer Science (School of)
Computer Science

Computer Science Theses

By Issue Date Names Titles Subjects Classification Type Funder

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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.

Recent Submissions

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 .

Research Topics & Ideas: CompSci & IT

50+ Computer Science Research Topic Ideas To Fast-Track Your Project

Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a computer science-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of CompSci & IT-related research ideas and topic thought-starters, including algorithms, AI, networking, database systems, UX, information security and software engineering.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the CompSci domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic.

Overview: CompSci Research Topics

Algorithms & data structures
Artificial intelligence ( AI )
Computer networking
Database systems
Human-computer interaction
Information security (IS)
Software engineering
Examples of CompSci dissertation & theses

Topics/Ideas: Algorithms & Data Structures

An analysis of neural network algorithms’ accuracy for processing consumer purchase patterns
A systematic review of the impact of graph algorithms on data analysis and discovery in social media network analysis
An evaluation of machine learning algorithms used for recommender systems in streaming services
A review of approximation algorithm approaches for solving NP-hard problems
An analysis of parallel algorithms for high-performance computing of genomic data
The influence of data structures on optimal algorithm design and performance in Fintech
A Survey of algorithms applied in internet of things (IoT) systems in supply-chain management
A comparison of streaming algorithm performance for the detection of elephant flows
A systematic review and evaluation of machine learning algorithms used in facial pattern recognition
Exploring the performance of a decision tree-based approach for optimizing stock purchase decisions
Assessing the importance of complete and representative training datasets in Agricultural machine learning based decision making.
A Comparison of Deep learning algorithms performance for structured and unstructured datasets with “rare cases”
A systematic review of noise reduction best practices for machine learning algorithms in geoinformatics.
Exploring the feasibility of applying information theory to feature extraction in retail datasets.
Assessing the use case of neural network algorithms for image analysis in biodiversity assessment

Topics & Ideas: Artificial Intelligence (AI)

Applying deep learning algorithms for speech recognition in speech-impaired children
A review of the impact of artificial intelligence on decision-making processes in stock valuation
An evaluation of reinforcement learning algorithms used in the production of video games
An exploration of key developments in natural language processing and how they impacted the evolution of Chabots.
An analysis of the ethical and social implications of artificial intelligence-based automated marking
The influence of large-scale GIS datasets on artificial intelligence and machine learning developments
An examination of the use of artificial intelligence in orthopaedic surgery
The impact of explainable artificial intelligence (XAI) on transparency and trust in supply chain management
An evaluation of the role of artificial intelligence in financial forecasting and risk management in cryptocurrency
A meta-analysis of deep learning algorithm performance in predicting and cyber attacks in schools

Topics & Ideas: Networking

An analysis of the impact of 5G technology on internet penetration in rural Tanzania
Assessing the role of software-defined networking (SDN) in modern cloud-based computing
A critical analysis of network security and privacy concerns associated with Industry 4.0 investment in healthcare.
Exploring the influence of cloud computing on security risks in fintech.
An examination of the use of network function virtualization (NFV) in telecom networks in Southern America
Assessing the impact of edge computing on network architecture and design in IoT-based manufacturing
An evaluation of the challenges and opportunities in 6G wireless network adoption
The role of network congestion control algorithms in improving network performance on streaming platforms
An analysis of network coding-based approaches for data security
Assessing the impact of network topology on network performance and reliability in IoT-based workspaces

Free Webinar: How To Find A Dissertation Research Topic

Topics & Ideas: Database Systems

An analysis of big data management systems and technologies used in B2B marketing
The impact of NoSQL databases on data management and analysis in smart cities
An evaluation of the security and privacy concerns of cloud-based databases in financial organisations
Exploring the role of data warehousing and business intelligence in global consultancies
An analysis of the use of graph databases for data modelling and analysis in recommendation systems
The influence of the Internet of Things (IoT) on database design and management in the retail grocery industry
An examination of the challenges and opportunities of distributed databases in supply chain management
Assessing the impact of data compression algorithms on database performance and scalability in cloud computing
An evaluation of the use of in-memory databases for real-time data processing in patient monitoring
Comparing the effects of database tuning and optimization approaches in improving database performance and efficiency in omnichannel retailing

Topics & Ideas: Human-Computer Interaction

An analysis of the impact of mobile technology on human-computer interaction prevalence in adolescent men
An exploration of how artificial intelligence is changing human-computer interaction patterns in children
An evaluation of the usability and accessibility of web-based systems for CRM in the fast fashion retail sector
Assessing the influence of virtual and augmented reality on consumer purchasing patterns
An examination of the use of gesture-based interfaces in architecture
Exploring the impact of ease of use in wearable technology on geriatric user
Evaluating the ramifications of gamification in the Metaverse
A systematic review of user experience (UX) design advances associated with Augmented Reality
A comparison of natural language processing algorithms automation of customer response Comparing end-user perceptions of natural language processing algorithms for automated customer response
Analysing the impact of voice-based interfaces on purchase practices in the fast food industry

Research Topic Kickstarter - Need Help Finding A Research Topic?

Topics & Ideas: Information Security

A bibliometric review of current trends in cryptography for secure communication
An analysis of secure multi-party computation protocols and their applications in cloud-based computing
An investigation of the security of blockchain technology in patient health record tracking
A comparative study of symmetric and asymmetric encryption algorithms for instant text messaging
A systematic review of secure data storage solutions used for cloud computing in the fintech industry
An analysis of intrusion detection and prevention systems used in the healthcare sector
Assessing security best practices for IoT devices in political offices
An investigation into the role social media played in shifting regulations related to privacy and the protection of personal data
A comparative study of digital signature schemes adoption in property transfers
An assessment of the security of secure wireless communication systems used in tertiary institutions

Topics & Ideas: Software Engineering

A study of agile software development methodologies and their impact on project success in pharmacology
Investigating the impacts of software refactoring techniques and tools in blockchain-based developments
A study of the impact of DevOps practices on software development and delivery in the healthcare sector
An analysis of software architecture patterns and their impact on the maintainability and scalability of cloud-based offerings
A study of the impact of artificial intelligence and machine learning on software engineering practices in the education sector
An investigation of software testing techniques and methodologies for subscription-based offerings
A review of software security practices and techniques for protecting against phishing attacks from social media
An analysis of the impact of cloud computing on the rate of software development and deployment in the manufacturing sector
Exploring the impact of software development outsourcing on project success in multinational contexts
An investigation into the effect of poor software documentation on app success in the retail sector

CompSci & IT Dissertations/Theses

While the ideas we’ve presented above are a decent starting point for finding a CompSci-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various CompSci-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

An array-based optimization framework for query processing and data analytics (Chen, 2021)
Dynamic Object Partitioning and replication for cooperative cache (Asad, 2021)
Embedding constructural documentation in unit tests (Nassif, 2019)
PLASA | Programming Language for Synchronous Agents (Kilaru, 2019)
Healthcare Data Authentication using Deep Neural Network (Sekar, 2020)
Virtual Reality System for Planetary Surface Visualization and Analysis (Quach, 2019)
Artificial neural networks to predict share prices on the Johannesburg stock exchange (Pyon, 2021)
Predicting household poverty with machine learning methods: the case of Malawi (Chinyama, 2022)
Investigating user experience and bias mitigation of the multi-modal retrieval of historical data (Singh, 2021)
Detection of HTTPS malware traffic without decryption (Nyathi, 2022)
Redefining privacy: case study of smart health applications (Al-Zyoud, 2019)
A state-based approach to context modeling and computing (Yue, 2019)
A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks (Solomon, 2019)
HRSB-Tree for Spatio-Temporal Aggregates over Moving Regions (Paduri, 2019)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Research Topic

If you’re still feeling a bit unsure about how to find a research topic for your Computer Science dissertation or research project, check out our Topic Kickstarter service.

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments.

Steps on getting this project topic

I want to work with this topic, am requesting materials to guide.

Information Technology -MSc program

It’s really interesting but how can I have access to the materials to guide me through my work?

That’s my problem also.

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments is in my favour. May i get the proper material about that ?

BLOCKCHAIN TECHNOLOGY

I NEED TOPIC

Database Management Systems

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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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Northeastern University
Khoury College of Computer Science
Computer and Information Science Theses and Dissertations
Computer Science Master's Theses

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

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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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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Recent CS Masters Theses

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

Date	Student	Adviser	Title
13-Dec-16	Arpita Banerjee	Eckberg
08-Dec-16	Srilaxmi Kamatam	Eckberg
07-Dec-16	RASHMI AHUJA	Eckberg
21-Nov-16	Prasanthi Kornepati	Eckberg
10-Nov-16	Akshay Jagtap	Eckberg
01-Nov-16	Ranjith Kantamneni	Eckberg
28-Oct-16	Michal Pasamonik	Tarokh
27-Oct-16	Rohit Kulkarni	Eckberg
21-Oct-16	Akhil Gokhale	Eckberg
20-Oct-16	Rituka Tuteja	Eckberg
19-Oct-16	Mayur Jurani	Eckberg
18-Oct-16	Kavish Ghime	Eckberg
13-Oct-16	Rohan Rampuria	Eckberg
20-Sep-16	Ramya Dalapathirao	Eckberg
3-Aug-16	Jeffrey Sadural	Edwards
20-Jul-16	Isha Gautam	Eckberg
14-Jul-16	KIRTI GUPTA	Eckberg
5-May-16	Bavya Kumaresan	Eckberg
3-May-16	Wenjun Zhu	Whitney
27-Apr-16	Savita Patil	Eckberg
27-Apr-16	Samatha Gajula	Whitney
27-Apr-16	Radhika Deshpande	Eckberg
26-Apr-16	Tanishq Chander	Eckberg
22-Apr-16	Bharat Samudrala	Eckberg
15-Apr-16	Umar Quadri	Eckberg
14-Apr-16	Shivangi Pyasi	Eckberg
13-Apr-16	Vivek Shah	Eckberg
13-Apr-16	Nagendra Balachandra	Eckberg
8-Apr-16	Vipin Thakur	Eckberg
8-Apr-16	Deepthi Yaramala	Eckberg
6-Apr-16	Veenu Prajapat	Eckberg
6-Apr-16	Shubha Ravikumar	Eckberg
6-Apr-16	Riddhi Shah	Eckberg
6-Apr-16	Bela Mhasavade	Eckberg
23-Mar-16	Monmita Choudhury	Eckberg
23-Mar-16	Chinnu Chullipparambil	Eckberg
22-Mar-16	Kumar Nishant	Tarokh
9-Mar-16	Preethi Prabhu	Eckberg
4-Mar-16	Vignesh Ramakrishnan	Eckberg
3-Mar-16	Aarti Gokhale	Wang
29-Feb-16	Sunny Jagadeesh (2)	Eckberg
18-Feb-16	Navya Kumar	Wang
10-Feb-16	Satya Vema	Eckberg
9-Feb-16	Saurabh Kalantri	Eckberg
8-Feb-16	Madhura Babu	Eckberg
19-Jan-16	Devang Shah	Eckberg
16-Dec-15	James Bible	Eckberg
11-Dec-15	Pooja Saroha	Eckberg
10-Dec-15	Sunny Jagadeesh (1)	Eckberg
10-Dec-15	Ritu Kamboj	Eckberg
10-Dec-15	Nitish Nalwade	Eckberg
9-Dec-15	Surabhi Anand	Eckberg
8-Dec-15	Julian Raheema	Edwards
2-Dec-15	Rajagopal Vajja	Eckberg
30-Nov-15	SreeLakshmi Reddygari	Eckberg
23-Nov-15	Ramya Nagaraj	Eckberg
16-Nov-15	Shelly Oberoi	Eckberg
10-Nov-15	Ranjana Venkataraman	Eckberg
9-Nov-15	Divyashree Vijaykumar	Eckberg
9-Nov-15	Deepika Urs	Eckberg
5-Nov-15	Vaishnavi Balaji	Wang
4-Nov-15	Anurag Dani	Eckberg
30-Oct-15	Varun Penumalla	Eckberg
30-Oct-15	Rakesh Thakur	Eckberg
30-Oct-15	Pratik Bhatt	Eckberg
29-Oct-15	Pratyusha Uddaraju	Edwards
28-Oct-15	Sunil Kadiwal	Eckberg
27-Oct-15	Bharath Mylarappa	Eckberg
26-Oct-15	Nisha Sharma	Eckberg
23-Oct-15	Sumer Pochi	Eckberg
23-Oct-15	Amol Kawade	Eckberg
21-Oct-15	Naitik Doshi	Eckberg
19-Oct-15	Ting Guo	Vuskovic
19-Oct-15	Sappidi Sowjanya	Eckberg
19-Oct-15	Aditya Kappagantula	Eckberg
16-Oct-15	Parmeet Singh	Eckberg
15-Oct-15	Vedika Jadhav	Eckberg
15-Oct-15	Shailesh Patil	Eckberg
13-Oct-15	Vyshakh Babji	Eckberg
7-Oct-15	Jasika Kamboj	Eckberg
7-Oct-15	Sahil Agarwal	Eckberg
6-Oct-15	Sunil Duddi	Eckberg
5-Oct-15	Joonyoung Yu	Tarokh
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Department of Computer Science: MSc Thesis Presentations

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Visualizing mobile network performance data during the software update process

Author: Nelly Kytölä Supervisor: Petter Holme Advisors: Sami Lehesaari (Nokia) and Tomi Kauppinen (Aalto) Time: Tuesday 10 September at 13:00-13:30 Place: online (zoom) https://aalto.zoom.us/j/66276757962

Department of Computer Science

cs.aalto.fi

Published: 6.9.2024
Updated: 6.9.2024

Master’s Thesis Presentation • Data Systems • Robust Recursive Query Parallelization in Graph Database Management Systems

Please note: this master’s thesis presentation will take place in dc 2310..

Anurag Chakraborty, Master’s candidate David R. Cheriton School of Computer Science

Supervisor : Professor Semih Salihoğlu

Recursive joins such as shortest path and variable length path queries are a core feature set of modern graph database management systems (GDBMS). Since these queries tend to be computationally expensive and may suffer from high execution time, they require efficient parallel processing using multiple cores to achieve good performance. Existing work on parallel query processing includes the morsel driven parallelism approach that distributes a unit of work (denoted as “morsel”) to threads for parallel execution.

We revisit this technique in the context of parallelization of recursive joins in GDBMS and discuss how the traditional approach of morsel driven query execution is inadequate to tackle recursive join queries. We show how this approach can be modified to better accommodate scalable parallelization of recursive joins. We further describe how this modified parallel query execution approach has been integrated into Kuzu, an embedded disk based columnar GDBMS. Compared to vanilla morsel driven parallelism, our modified parallel query execution approach can be orders of magnitude faster and scales well on multiple cores.

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Female Computer Science student tops class of 2024 at Ashesi University

When the roll of academic excellence was called for the class of 2024 at the congregation of Ashesi University, it was a female Computer Science graduate, Leanne Annor-Adjaye who emerged as the Valedictorian.

But if you suffer from Hippopotomonstrosesquippedaliophobia or Sesquipedalophobia, which simply means the fear of long or big words, then let’s just break Valedictorian down and say she graduated top of her class with a very impressive GPA. She was also a co-recipient of the Best Thesis Capstone Award for an AI-driven capstone project, which focused on improving small business revenue.

Leanne completed 36 courses in her programme, and even though Ashesi does not have a culture of informing students who topped each course, Techfocus24 gathered that at least two lecturers named Leanne as topping their courses – Software Engineering as well as Computer Networks and Data Communication.

Beyond her academic prowess, Leanne also kept a remarkable record of leadership and service during her four years at Ashesi. She excelled as a Career Peer Advisor with the Ashesi Career Services. In this role, she assisted students in refining their CVs, organized educational sessions on career development and networking, and created informative posters for social media platforms like Instagram to enhance career awareness among her peers.

In addition to her role in career services, Leanne dedicated her time to the Ashesi Innovation Experience Program as a robotics coach. She engaged high school students in learning about Ashesi’s programs and fostering their interest in undergraduate studies, while also imparting valuable skills in leadership and design thinking.

Leanne’s commitment to her community extended to her involvement with a Christian fellowship on campus, where she served as an executive member. Her dedication to her faith and service was evident in her active participation and leadership within the fellowship. She strives to show that it is possible to serve God with all your heart, soul, and mind while also excelling academically.

Known for her proactive approach, Leanne consistently took the lead in group projects, ensured timely completion of tasks, and actively supported her classmates by explaining complex concepts. Her disciplined work ethic, willingness to help others, and focus on self-improvement have been hallmarks of her academic and extracurricular endeavors.

Leanne is passionate about promoting STEM careers among females and aspires to establish businesses while pursuing advanced degrees. Her goals include earning a master’s and PhD in fields such as robotics, AI, or machine learning, with a vision of contributing to both academia and industry.

In an exclusive interview, Leanne attributed her achievement to God, but also spelt out a set of personal values that played a pivotal role in her getting to the top. “I attribute this achievement, first and foremost, to God. Additionally, my discipline, clear sense of purpose, and strong focus on my goals have played crucial roles in my success. Finally, to my friends and close family members.”

According to Leanne, even though her classmates kept saying she was in the run for the Valedictorian slot, she still did not expect it because there were equally very smart students in her class, if not better.

On why she opted for Computer Science, a male dominated program, she said her brother was her inspiration because he introduced her to the idea of how the world is rapidly evolving digitally and where it could be within the next few years, and encouraged her to explore programming to see if she had an interest in Computer Science. “I did, and from there, everything fell into place.”

She said initially the course was challenging because, she had just gone to Ashesi from a WASSCE background, “where many things were not as demanding.” However, once she got a good grasp of the concepts, she found it much more manageable and at times, even enjoyable.

Leanne plans to pursue a master’s eventually a PhD in a field of Computer Science, with a focus on Robotics, AI, or Machine Learning, and her ultimate goal is to work for a leading tech company, while also establishing one or two businesses and charity organizations.

She has some advice for young and upcoming girls who want to pursue careers in the field of science, technology, engineering and mathematics (STEM). She said “Don’t let anyone define what you can or cannot achieve. If someone tells you that something is beyond your reach, focus on proving to yourself—and then to them—that you’re more than capable of not just doing it, but excelling at it.”

For Leanne, the biggest values she took from Ashesi was not her academic achievements, but rather the importance of connection – kindness to everyone, seizing opportunities as they come, and always being willing to lend a helping hand.

Leanne Annor-Adjaye, Valedictorian of Class of 2024, Ashesi University

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