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 project will explore how AI can best complement human expertise in cybersecurity operations. The intern will collaborate with industry professionals at eSentire to study how tasks are currently performed, develop lightweight AI-based tools to support key workflows, and design a method to assess the impact of these tools in real-world conditions. The goal is […]

This project will study how male and female executives differ in the adoption of artificial intelligence (AI) technologies. I use the launch of ChatGPT as the big technological event to understand how executives communicate and discuss the adoption to generative AI. I then analyze how these differences affect how investors react in the stock market. […]

Artificial intelligence (AI) is increasingly used to make high-stakes decisions in fields like finance, insurance, and healthcare. However, most of AI systems function as “black boxes,” producing results without clear explanations. This lack of transparency can lead to serious consequences, such as denying loans to creditworthy individuals or making unfair risk assessments. The AsbabAI aims […]

This project proposes a scalable quantum-enhanced generative model for drug discovery, targeting the design of KRAS inhibitors through the integration of Neural Quantum States (NQS), Quantum Circuit Born Machines (QCBMs), and CUDA Quantum acceleration. By replacing traditional quantum circuits with adaptive NQS representations and extending QCBM capacity to 32 qubits, the framework enables more expressive […]

Francoflex offre une IA conversationelle qui aide à l’apprentissage du français au travail. Elle aide à l’intégration des travailleurs dont la première langue n’est pas le français. Pour assurer de l’efficacité du modèle de reconnaissance audio et un bon apprentissage, il faut entraîner un modèle capable de reconnaître des accents forts dans différentes langues natives […]

The intern Mr. Andersen will travel from Aarhus University, Denmark to Polytechnique Montréal, Canada, to research the engineering of Digital Twins (DTs). DTs are virtual representations of physical systems, like the concrete mixing machine which is the focus of this project. Mr. Andersen will work with Prof. Bentley Oakes on the research problem of ensuring […]

This project will study consumer experience and reaction to shopping in a frictionless or autonomous store environment. Fricitonless stores offer a no-cashier shopping experience using advanced technologies such as computer vision , weight sensors and light sensors. The adoption of some or all aspects of this technology has significant potential benefits for retailers in terms […]

Les gouvernements, hôpitaux et banques détiennent d’immenses volumes de données précieuses, mais les lois strictes sur la confidentialité et les risques de sécurité rendent toute collaboration presque impossible, freinant l’innovation et limitant la performance des modèles d’IA. De ce fait, les hôpitaux ne peuvent pas bénéficier de modèles de diagnostic partagés et entrainés par plusieurs […]

This project will help an intern develop Lumos, a made-in-Canada light therapy glasses venture that aims to improve sleep and alertness. With support from the Lab2Market program, the intern will gain practical experience in identifying target users, developing a go-to-market strategy, and collecting early product feedback. Lab2Market will provide mentorship, training, and access to a […]

Gestational diabetes mellitus (GDM) affects up to 20% of pregnancies in Canada and is often diagnosed late, between 24–28 weeks, leaving limited time for preventive action. This delay can lead to serious complications for both mother and child, including preterm birth, macrosomia, and long-term risk of type 2 diabetes. Women with infertility, PCOS, insulin resistance, […]