Systematic analysis of health and wellbeing among war-affected Newcomer Women: Applied to Sudanese Newcomer Women in Ontario, Canada 2026.

This project explores the health and wellbeing of women who have experienced war, displacement and resettlement, with a focus on Sudanese those living in Canada. Through a PRISMA-guided secondary research approach, it synthesizes global evidence on mental health, coping strategies, access to healthcare and chronic disease prevention among vulnerable newcomer women. The aim is to […]

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Smart mannequin platform for compression testing

This project is a collaborative research partnership designed to support Tression, a Canadian health-tech apparel company, in enhancing its product development. The primary challenge in the therapeutic apparel industry is the difficulty of accurately and efficiently testing the performance of medical-grade compression garments. The current process can be slow and subjective, making it difficult to […]

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Enhancing Multi-Agent Coordination for Real-Time Detection of Obfuscated Shilling Attacks

This research project investigates how agentic AI—autonomous AI agents capable of perceiving, reasoning, coordinating, and acting in dynamic environments—can be advanced to protect recommendation systems against increasingly obfuscated shilling attacks. Shilling attacks occur when malicious actors inject fake profiles, ratings, or reviews to manipulate recommendation outcomes for financial, competitive, or political advantage. As attackers adopt […]

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Work Zone Safety for Personnel in a Connected & Automated Vehicle Era

This project will investigate the use of automated and connected vehicle technologies as well as smart mobility technologies to improve Workzone Safety for Personnel undertaking road work in an urban or highway setting. In order to determine the most favourable technologies and how to apply them, the project will rely upon the use of resources […]

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AI Agent–Driven Digital Twin Framework for Intelligent Simulation and Optimization of Demand Responsive Transit (DRT) Systems

This project aims to develop an optimal Agentic AI Framework for next-generation intelligent mobility systems. Rather than focusing on a single algorithm or application, the research seeks to establish a generalizable architecture that integrates advanced optimization methods with graph-based large language model orchestration. Demand-Responsive Transit (DRT) serves as the primary testbed due to its inherent […]

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Define–Assess–Learn: Development of an AI Chatbot and Pilot Evaluation of Its Effects on Student Learning

This project will develop and pilot-test a dual-function Generative AI chatbot to support student learning in an undergraduate course. The system will integrate: (1) a definition-retrieval component that provides course-aligned explanations drawn from the textbook, lecture slides, and instructor-approved materials, and (2) an assessment component that evaluates students’ written explanations of key concepts by comparing […]

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Post-Quantum Cryptography Integration in CAN FDx Automotive Networks: Security and Performance Evaluation.

The rise of quantum computing threatens traditional cryptographic systems such as RSA and ECC, which can be broken by quantum algorithms. This poses significant risks for the automotive industry, where in-vehicle communication networks must ensure both low latency and high data integrity. Modern vehicles rely on Controller Area Network Flexible Data-rate (CAN FD) and its […]

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A Comparative Analysis and Integration Framework for Quantum Key Distribution Protocols in Next-Generation Networks Networks

This research project addresses the critical future of cybersecurity in the age of quantum computing. As powerful quantum computers emerge, they threaten to break the encryption that currently protects our digital communications. To counter this, our project investigates Quantum Key Distribution (QKD), a technology that uses the principles of quantum mechanics to create encryption keys […]

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Multi-Objective Optimization of Energy Systems in Smart Grid in Connection with Renewable Energy Communities Considering Source and Consumption Variability

In this project, we will develop a multi-objective and hybrid energy optimization framework for the optimum system cost and energy cost savings with a tolerable degree of customer discomfort. This framework will be based on artificial intelligence (AI) and artificial neural network (ANN) approaches for forecasting to track for maximum green energy production with the […]

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Development of biomaterials for antibiotic delivery

Antibiotic-resistant infections are a growing global concern, particularly in chronic wounds where traditional treatments often fail to maintain effective drug levels. This project aims to develop hydrogel-based materials capable of delivering antibiotics directly to infected tissues in a controlled and sustained way. Hydrogels are soft, water-rich polymer networks that can mimic the structure of living […]

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Pioneering Quantum Nanodevices: Enhanced Gold Bipyramid Integration for Ultrafast Coupling – 2025

Quantum computing is a cutting-edge field poised to revolutionize technology, with its quantum information processing segment projected to reach $100 billion in the next decade. It harnesses tiny units called qubits that collaborate via strong coupling to tackle complex problems far faster than conventional computers. The power of this coupling determines processing speed – stronger […]

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