En 2023, le ministère de la Santé et des Services sociaux du Québec a reconnu le droit à la procréation comme essentiel au bien-être des personnes de la diversité sexuelle et de genre. Or, les ressources demeurent limitées et les professionnel·le·s de la santé et du social soulignent un manque de formation préoccupant pour répondre […]

This project aims to integrate nanostructured thin films directly onto luminescent materials to obtain a miniature single-mode laser source emitting over a narrow frequency band at higher power than other existing miniature laser device technologies can achieve. The ability to operate in single mode relies on the concepts of exceptional points in polarization space and […]

This project will study a relationship between graph (network) theory and algebraic objects known as ideals. Graph theory is a major branch of mathematics with diverse applications to society and industry, including transportation system modelling, social media marketing, and statistical models, among others. To study a graph, one can use the algebraic structure of a […]

Cancer is a complex disease that involves multiple changes in normal cell biology, all of them leading to increased and abnormal cell replication. Depending on the tissue type, this uncontrolled tissue growth ultimately causes organ malfunction and a wide variety of signs and symptoms which, all together, indicate a pathological state which needs to be […]

Temporomandibular Joint Disorder (TMD) is an umbrella term for diseases that affect the jaw. It is a common but often underdiagnosed condition that can cause significant jaw pain, limited movement, and long-term oral health issues. Accurate diagnosis relies heavily on the precise identification of tiny jaw structures in medical imaging, a task that remains challenging […]

This research project explores how agentic AI—autonomous AI agents with the ability to perceive, reason, and act—can be designed and deployed within recommendation systems to proactively identify and counteract shilling attacks. These attacks involve malicious users injecting fake reviews or ratings to manipulate recommendations. The project aims to develop an adaptive, multi-agent, Agentic AI-driven model […]

Making use of the ever-growing amount of data available is a vital opportunity for many industries and research labs, both in Canada and the rest of the world. The initial exploratory data analysis phase is when many of the hypotheses and our intuitive understanding of a data set occurs. Thus, it is essential that the […]

Bikeshare systems around the world are increasingly incorporating electric bikes to expand their coverage and increase ridership. This project aims to apply descriptive and prescriptive analytics to support key operational and strategic decisions in bikeshare electrification. First, we will perform empirical analysis to quantify the spatially heterogeneous impact of electric bike availability on bikeshare ridership. […]

Physics-Informed Neural Networks (PINNs) have emerged as a powerful tool for solving PDEs, fractional equations, and eigenvalue problems, making them particularly suited for quantum mechanics, where traditional numerical methods often face computational bottlenecks. The aim of this internship is to analyse the applicability of PINNs to a broad range of quantum simulation tasks such as […]

The proposed international research collaboration project aims to develop accurate and efficient image processing algorithms for advanced imaging instrumentation technologies. The overarching goal of the project is towards fully automated microscopy technologies with many strategically important applications for both DGIST (Korea) and McMaster (Canada) such as point-of-care diagnosis in remote communities and drug discovery. The […]

This project tackles a major challenge in modern brain imaging: advanced techniques like diffusion MRI and tractography are powerful tools for studying conditions such as multiple sclerosis, dementia, and brain cancer, but they rely on expensive, high-resolution scanners that are often unavailable in routine clinical settings—especially in underserved or rural communities. These methods also struggle […]

This research project develops an innovative approach to decision-making assistance by leveraging teams of AI-based agents, known as “councils of AIs”. These councils utilize large language models to collaboratively provide strategic advice and support for complex managerial decisions. The project aims to significantly improve the quality and effectiveness of strategic decision-making processes within organizations. The […]