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 2023.

The catalogue of all MRP abstracts from 2017 to 2023.

Al-Falahy, Raed – Predicting Patient Readmissions in Hospitals: A Machine Learning Approach
Anand, Gurjyot Singh – Credir Card Fraud Detection Using Machine Learning
Awan, Hina – Comparing Several Machine Learning and Deep Learning Models to Detect Health Care Providers’ Fraud in Insurance Claims
Chanana, Gazal – Automobile Insurance Fraud Analysis and Detection Automobile Insurance Fraud Analysis and Detection
Choudhry, Soheer – Predicting US Wireless Carrier Operator Performance Using Social Media Data and Google Trends
Cobbinah, Maame – A Deep Learning Approach to Forecast the Canadian Consumer Price Index (CPI) Using Encoder-Decoder Attention Mechanisms with Teacher Forcing Techniques
Da Silva, Brian Jones – Enhancing Time Series Forecasting Accuracy With Ensemble Methods for Multiple Seasonality in Sales and Retail
Ekundayo, Matthias – Predicting House Prices Using Advanced Regression Techniques
Elahi, Muzammil – Household Temporal Space Heating Demand Prediction Using Machine Learning Modelling
Farrukh, Fatima Faiza – Improving Access to Hospital Beds Through Time Series Forecasting and Mathematical Optimization
Go, Carlos – Synthrad2023 – Synthesizing Computed Tomography for Radiotherapy
Gong, Li – Combining Graph Convolutional Networks and Generative Adversarial Networks for Robust Recommendation Systems
Gupta, Snigdha – StreetSmart – A Legal Traffic-Bot Using Generative Language Models
Hossain, Nusrat – Analysis of the Effectiveness of MRI Image Data Vs. Tabular Data When Training Classifiers for Dementia Diagnosis
Kaski, Alicia – Transfer Learning Computer Vision Techniques for Early Dementia Diagnosis Using Brain MRI
Li, Ang – Adaptive Learning Management Systems Through Deep Learning
Li, Shijie – Comparing Supervised Learning and Reinforcement Learning Algorithms for Real-Time Inventory Management
Marcogliese, James – Culinary Puzzle Pieces: Higher-Order Ingredient Pairings in World Cuisines
Naupada, Lakshmi – Wealthbot: Development of Chatbot for Investment Management
Nguyen, Gia Viet Huy – Machine Learning Approach on Ethereum Transaction Classification
Noor, Faiza Sabiha – Time Series Forecasting Methods of Toronto’s Housing Market
Raj, Ritik – Predicting Impact of Marketing Channels and Digital Marketing KPIs with Machine Learning
Rutkowska, Agnieszka – Deep Reinforcement Learning for Disaster Recovery Orchestration in Data Centers
Sanford, Griffin – Analysis of Explainable AI Techniques on House Market Prices
Singh, Bhupinder – Predicting Drought Susceptibility in the US Using Meteorological Data
Singh, Rashmi – An Ensemble Approach to Loan Default Prediction
Patel, Smit – Improving Customer Churn Prediction Through Segmentation
So, Brandon – Attentional Bidirectional LSTM for Instrumental Music Synthesis
Sun, Zeyuan - Enhancing Medical Transcription Information Extraction using Transformer Models and Doccano Annotation
Wu, Yu Heng – Sentiment Analysis of Online Reviews From YELP Open Dataset
Zmytrakov, Yurii – Exploring Deep Learning and Machine Learning Techniques to Prevent Payment Frauds with the Help of Ensemble Learning