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 […]

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. […]

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 […]

« Optimisation du couplage magnétomécanique pour les technologies quantiques ». Dans le groupe, nous travaillons sur l’optomécanique en régime microonde en utilisant une interaction magnétomécanique. Cette interaction permet d’obtenir un couplage record entre un résonateur microonde et un système micro- mécanique. Dans le contexte de ce projet, vous aurez l’opportunité d’explorer différentes approches, telle que […]

This research project explores the use of quantum machine learning (QML) to optimize aerial reconfigurable intelligent surface (RIS)-assisted networks that integrate sensing and communication (ISAC). The goal is to enhance the sustainability and efficiency of these advanced wireless systems by intelligently minimizing electromagnetic field (EMF) exposure. By leveraging quantum-enhanced algorithms, the project aims to design […]

Human activities are modifying the planet in many ways, via climate change, land use change, and environmental contamination. This is accelerating species extinction across the tree of life. Safeguarding biodiversity requires an accurate understanding of how nature is organized—species interact with each other in complex networks, such as when a predator consumes a prey, or […]

This project aims to study the unique behaviour of camel milk proteins, especially how they function at the air-water interface to create and stabilise foams, which are important in foods like lattes, whipped desserts, and dairy-based drinks. Unlike cow’s milk, camel milk lacks certain proteins and contains others in much higher amounts, which may give […]

La supraconductivité est un état quantique de la matière atteint à des températures frôlant le zéro absolu. Résistivité nulle, expulsion du champ magnétique et condensation des électrons sont autant de propriété émergent de la supraconducitivité qui sont exploité dans le développement de technologie comme les IRM, les trains magnétiques et les ordinateurs quantiques. Néanmoins, malgré […]