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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

It is a common assumption that the study of beauty is closely related to the study of art. However, the two are not wholly synonymous; it has been widely acknowledged that aesthetic stimuli are not confined to a specific set of objects (such as music or paintings), but are instead defined by our individual attitudes […]

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 […]

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 […]

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 […]

Autonomous systems such as intelligent vehicles and robotic platforms must reliably perceive their surroundings and reason about complex environments to make safe, informed decisions. Recent advances in Vision-Language Models (VLMs) and Vision-Language-Action (VLA) frameworks combine visual understanding with language-based reasoning, creating unified architectures for perception, interpretation, and decision-making. This integration enables autonomous agents to describe […]

Mass timber – an innovative, wood-based alternative to concrete and steel – is key to building greener cities, but its widespread use in Canada is currently limited by uncertainty over construction costs. Developers and builders lack reliable, standardized data to compare the price of mass timber projects against traditional building methods and materials across different […]