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 2025
Exploring Adverse Drug Events Through Interactive Visualizations, Sanyam Jain
Comparative Analysis of YOLOv8 and RT-DETR for Real-Time Object Detection in Advanced Driver Assistance Systems, Aryan Parekh
IDENTIFYING ARGUMENTATIVE CLAIMS IN BIOMEDICAL RESEARCH ARTICLES, Gaurav N. Patil
Theses/Dissertations from 2024
ASSESSMENT OF AI-GENERATED IMAGES USING COMPUTATIONAL METRICS AND HUMAN CENTRIC ANALYSIS, Memoona Aziz Ms.
Generative AI Driven Novel Approaches for Cyber Attack Prediction, Detection, and Mitigation, sudipto baral
Approximation Algorithms for High Multiplicity Strip Packing, Thief Orienteering, and K-Median, Andrew Bloch-Hansen
Examining Data Representations to Expand the Theory of Learning Metrics, Rory Campbell
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
Combating IoT Attacks In AI-Driven Networks Via Robust And Resource-Efficient Federated Learning, Eyad Gad
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
Security and Integration in Business Intelligence Tools: A Comprehensive Study, Lakchchayam Divya Khare Mr
STAF: Leveraging LLMs for Automated Attack Tree-Based Security Test Generation, Tanmay Khule
Container Migration: A Perfomance Evaluation Between MIGrror AND Pre-copy, Xinwen Liang
Continual Learning via Hessian-Aware Low-Rank Perturbation, Jiaqi Li
Smart Plant Watering System: A Mobile Robotic Solution for Precise Plant Hydration in Indoor Environments, Md Najib Murshed
UTILIZING MACHINE LEARNING TECHNIQUES FOR DISPERSION MEASURE ESTIMATION IN FAST RADIO BURSTS STUDIES, Hosein Rajabi
INTEGRATING SERVERLESS AND EDGE COMPUTING: A FRAMEWORK FOR IMPROVED QOS AND RESOURCE OPTIMIZATION, Nazanin Sarrafzadehghadimi
Beyond Limits: Detecting Anomalies in Sparse, High-dimensional Data, Ayush Shah
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
A Method for Analyzing Community Dynamics in Temporal Networks Applied to Emotional Recollection in fMRI Data, Casey J. Wood
Theses/Dissertations from 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
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
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
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
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