Major Research Project Library

The student is required to conduct an applied advanced research project. The project will be carried out under the guidance of a supervisor. On completion of the project, the results are submitted in a technical report format to an examining committee and the student will make an oral presentation of the report to the committee for assessment and grading of the report. The student is expected to provide evidence of competence in the carrying out of a technical project and present a sound understanding of the material associated with the research project.

The major research paper is presented to the university in partial fulfillment of the requirements for the degree of Master of Science in the program of Data Science and Analytics.

The MRPs listed below are from the most recent graduates from 2025.

The catalogue of all MRP abstracts from 2017 to 2025.

Afolabi, Vanessa – Application of Data Mining to the Analysis of Crime Data
Afreen, Sazia - Assessing the Impact of Industrial Pollution on Lung Cancer in Canada: A Data-Driven Analysis of NPRI and Lung Cancer Trends
Aggarwal, Ritika – Predicting Outbreak Severity Using Machine Learning, Deep Learning and Hybrid Models
Agrawal, Divyansh – Machine Learning Based Anomaly detection in Large-Scale Cloud-Based Systems
Ahmed, Khushnud – Predictive Modelling for Hospital Readmission Using EHR Data
Ahmed, Zain – Bankruptcy Prediction of Companies Using Machine Learning and Deep Learning Techniques
Ali, Mohamed – Interpretable Machine Learning for Breast Cancer Prediction: Toward Clinically Trustworthy Decision Support
Ali, Momna – AI Approaches for detecting CKD in Asthma Patients
Arthur, Justice – Enhancing Candidate Matching in AI-Driven Recruitment Systems: A Deep Learning Approach
Ateeq, Mohammed – Reinforcement Learning for Adaptive HVAC Control in Smart Buildings
Aurangabadkar, Partha Sai – MEDNLP: An Integrated Pipeline for Named Entity Recognition, Summarization, and Intelligent Medical Question Answering
Baby, Aiswarya – Bank Customer Churn Prediction
Bainiwal, Jaspal – Forecasting Crop Yield Using Weather Data: A Machine Learning Approach
Bisht, Rishabh – Uncovering Financial Fraud Through Spatiotemporal Analysis of Transaction Data
Boddepalli, Mounika – Traffic Collision Analysis and Flow of Simulation in Toronto Using Cellular Automata Models
Chapagain, Aadarsha – Advanced Machine Learning Approaches for Anti-Money Laundering Detection
Chowdhury, Ahnaf Shariyar – Deep Learning Vs Machine Learning: A Performance Comparison for Fungal Infection Classification
Danish, Rabia – ResumeMatch: A Dual-Role AI-Driven Platform for Transparent Resume-Job Compatibility and Enhanced Hiring Outcomes
Das, Anusri – Explainable AI in IPL Cricket: Shapley Value-Based Feature Attribution
Das, Sharmi – Entropy-Based Biomarkers For Survival Prediction Across Cancer Types
DeFreitas, Penelope – Skin Lesion Diagnosis Using Deep Learning
Deresa, Eyasu – An Explainable Multi-Timeframe Framework for Bitcoin Trend Prediction: Integrating LSTM Networks with GARCH-Enhanced Features
Durojaiye, Kehinde – Image-Based Geolocation: Leveraging Machine Learning for Crime Prevention
Ezulu, Eleolisehkuni Joanne – Enhancing Intrusion Detection In IOT Networks: A Machine/Deep Learning Approach
Ganapathi Tekmal, Saketh – MEDVQA: Advancing Medical Diagnosis through Visual Question Answering with CNN-Transformer Architectures
Gaur, Raghav – Automated Essay Grading and Explanation Generation Using Large-Language Models
Go, Tanzell – Towards Better Sleep: A Suggestive Approach Via Sleep Duration and Inefficiency Predictions With Transformers and KNN Derived Recommendations
Huang, Ziying – Mitigating Algorithmic Bias in Fraud Detection
Hussain, Muhammad Maqsud – Analysis and Detection of Misinformation in 2024 U.S. Election Tweets
Javed, Syed Ali – An Analytical Study of IPL Player Auctions Using Machine Learning Techniques
Jung, Eunchong – Assessing the Reliability of LLM-as-a-Judge Using Advanced Community Detection Techniques with GraphRAG
Kaushik, Avi – Detecting Money Laundering in Financial Transactions
Khan, Moadh – Loan Default Prediction Using Machine Learning
Kong, Gary – Short-term Stock Movement Prediction Model Comparison Using Feature-Engineered Financial Statements
Lacey, Colin – Protecting Personally Identifiable Information (PII) in Abstractive Summaries Using Large Language Models (LLMs)
Li, Xinlong – Toronto Bike Share
Liu, Kin Kwan – Exploring Gender Representation Biases in Occupational Data Within AI Training Sets: Quantification and Mitigation in the LAION-400M Dataset
Lo, Mariam – Early Detection of Heart Disease Using Machine Learning and CDC Health Indicators
Luong, Nguyen Duy Anh – Development of Machine Learning-Based Algorithm for Enhancing Transaction Fraud Detection
Mahajan, Lakshita – Fairness Evaluation in Breast Cancer Classification Using MRI Across Multiple Patient Subgroups
Mamun, F.R.Al – Agitation and Agression (AA) Detection in Persons with Dementia (PWD) Using Multimodal Sensor Data and Unsupervised Methods
Maseel, Burhan – Circa Sustainability Analytics: A Computational Social Science Approach
Molev Shteiman, Daniel – Locating Optimal Ride-Sharing Stations in Toronto Using Spatial Interaction Models and Ranknet
Nammour, Andrew – Churn Prediction in E-Commerce: A Machine Learning and Sentiment Analysis Approach
Ndiagwalu, Promise – Feature-Level Fusion for Parkinson’s Disease Classification Using Deep Learning
Nick, Ben – Darknet Traffic Classification Using Packet Metadata and Machine Learning
Okehi, Ugochinyere – Evaluating Rule-Based and Transformer-Based Approaches For Biomedical Sentiment Analysis
Onyema, Obinna – Exploring Reasoning Capabilities in Retriever-Augmented Language Models: Analyzing the Interplay Between Retriever and Language Models
Parmar, Tanish – Ask Sense: Robust Text to SQL Using LLMS for Accurate Natural Query Translation
Patel, Tirthkumar – Risk Assessment for Loan Default Using Machine Learning
Prasad, Kashish – Detecting Emotions and Mental Health From Reddit Posts Using NLP and Sentiment Analysis
Pulluru, Sai Seena – Analysis of Historical Arbitrage Opportunities in Cryptocurrency Markets
Rajapakshe, Dulanjani – Reinforcement Learning for Dynamic Pricing in E-Commerce
Rattan, Chanpreet Kaur – Forecasting Crop Disease Risk Prediction Using Environmental Data
Ren, Yufei – Automated Detection of Bacterial Flagellar Motors in Cryo-Electron Tomography Using MHAF-YOLO Architecture
Rose, Yashwardhan – A Machine Learning Disease Prediction Model
Sandor, Arnold – Quantifying the Impact of Big Data and Network Interconnectedness on AI Face Recognition Accuracy in Law Enforcement
Saravanan, Aarthi – Deep Learning as a Subset of Machine Learning: Advancing Minority Class Detection in Diabetic Diagnosis Through Borda-Based Feature Selection and Hybrid Resampling
Shafizadegan, Sevim – Exploring Synthetic Data Generation for Rare Disease Scenarios
Shah, Devarsh Sandip – Domestic Wholesale Fruit Price Trends: A Data-Driven Analysis
Shah, Preksha Pranaykumar – LLM Driven Credit Risk Assessment For Loan Approval
Shaheryar, Muhammad Zaka – Sale Forecasting for Retail E-Commerce Using Dataco Data and External Weather Features
Shaikh, Marvi – Gender-Based Disparities in Multimodal Personality Prediction Using Audio and Textual Data
Shaikh, Yahya – Fraud Detection in Customer Credit Transactions Using Clustering Techniques
Shirshekar, Behazin – A Time Analysis of Oil Prices and CAD/USD Exchange Rate Dynamics
Soe, Thet Naing – Customer Churn Prediction Using Machine Learning and Deep Learning Models in Telecom Industry
Sogbesan, Sheritz – Deep Learning Models for Sunshine Duration Time Series Forecasting
Srinivasan, Nikhil – LLM-Powered Contract Risk Detection and Clause-Based Inquiry System
Sunuwar, Ashish – Sequential Deep Learning and LightGBM for Stock Trend Prediction
Thankom Koshy, Tintu – Detecting Offensive Speech in Twitter Posts: A Comparative Study of Machine Learning, Deep Learning and Transformer-Based Models
Thushanthan, Sanan – Drought Prediction in the Canadian Prairies Using Binary Classification and Two Climate Variables
Ul-Haq, Sameer – Stroke Prediction Using Machine Learning
Vasudevan, Kishan – Analysis of MedSAM for Colon Wall Segmentation: Image Quality and Noise Robustness in Taus
Zhuravlev, Andrey – London Transit Network Changes and Housing Market Dynamics: A Graph-Based Analysis