Ce projet a pour objectif d’évaluer les performances de résines polymères biosourcées, fabriquées à partir de chitosane pour des applications de microfabrication de dispositifis et systèmes microélectroniques. Ces résines représentent une alternative écologique aux résines dérivées du pétrole et permettraient ainsi une diminution de l’impact environnemental de certains procédés de microfabrication

Workplace incidents usually need to be reported and it is important to ensure that they are resolved in a timely manner. To understand the procedures involved in an emergency response to a workplace incident, we have started investigating the existing practices of the McGill University Safety office by interviewing their personnel. We focused our investigation […]

The proposed project aims to develop a robust, data-driven supply chain dashboard for Kisaan Die Tech (KDT) to enhance visibility, improve decision-making, and align production schedules with customer demand. The dashboard will integrate data from multiple sources, optimize inventory levels, and enhance cash flow management, addressing challenges related to overseas supplier lead time, transit time, […]

Gaia Refinery is a Canadian cleantech company focused on sustainable resource recovery and carbon management. Its core mission is to develop low-impact technologies for converting waste carbon streams into high-value products such as bio-carbon materials, fuels, and catalysts. In collaboration with Lambton College, Gaia Refinery is supporting this project to explore the development of low-cost, […]

This research project will explore how to make augmented reality (AR) tools more accurate and easier to use in steel fabrication workshops. The intern will work with Eterio Realities Inc., a Canadian company that created FabStation. This AR system helps workers see 3D digital models overlaid on steel parts to guide their work. Currently, FabStation […]

This project focuses on developing smart materials that can move or change shape in response to light and magnetic fields with the synthesis of Thiolacrylate-Liquid Crystal Elastomers (LCE) with the incorporation of superparamagnetic or ferromagnetic particles. These materials, called liquid crystal elastomers, have potential applications in soft robots, which are flexible machines that can be […]

Superwake designs, manufactures, and operates fixed-wing solar-electric drones, delivering long-endurance aerial services for government and commercial clients. The company’s core activity is providing persistent, energy-efficient data collection and monitoring via solar-powered flight. This project aims to design and implement an inboard flap system to enhance aerodynamic control, with a specific focus on improving landing performance. […]

Acromegaly is a disease caused by a tumour in the brain that leads to coarsening and enlargement of features of the face, hands, and feet, as well as a host of diseases including diabetes, hypertension, arthritis, and sleep apnea, that lead to disfigurement, poor quality of life and premature death. If caught in early stages, […]

AVN uses a sophisticated Distributed Control System (DCS) to monitor and control the process. The mill is equipped with a data historian system which captures continuous and discrete process data from the DCS and manual tests. The effectiveness of process monitoring and control has evolved over the years. But at many stages of the process, […]

Ce projet vise à explorer comment des agents d’intelligence artificielle (IA), enrichis par des bases de connaissances externes (RAG), peuvent automatiser ou améliorer certaines tâches en marketing numérique. En combinant raisonnement, outils numériques et données, ces agents IA deviennent de puissants assistants. L’objectif : démontrer leur utilité concrète, tout en adoptant une approche responsable face […]

This project brings together ÉTS Montréal and the American University of Beirut to design smarter ways for satellites and ground stations to share network resources so that next generation of quantum secure communications can run in a optimized way. Using quantum computer simulations, the intern will test new matching and learning algorithms that decide, in […]

This project explores the feasibility of using a hybrid sensing system that combines Near-Infrared Spectroscopy (NIR) and Electronic Nose (E-Nose) technologies, enhanced by machine learning, to detect early signs of spoilage and contamination in stored grains. By analyzing changes in grain structure and gas emissions, the study contributes to ongoing research on reliable, non-destructive, and […]