Ce projet vise à développer un outil pour aider les décideurs à suivre l’état de l’économie circulaire (ÉC) dans la région de Sorel-Tracy, au Québec. L’ÉC est un modèle économique qui cherche à réduire l’extraction de ressources, à optimiser leur usage, tout en minimisant leur impact sur l’environnement. Aujourd’hui, il existe peu d’outils pour mesurer […]

Digital health technologies (DHTs) are tools and platforms that have the potential to significantly improve patient-centered care in the field of cardiovascular disease (CVD) prevention by providing prolonged monitoring and improving the clinical workflow. Despite numerous advantages, there remains clinician resistance to the implementation of DHTs in healthcare settings. There is an urgent need to […]

When Kinaxis trains its machine learning models, it does so on two time scales. Every week or so, it looks at around 10 billion sales records and tries to learn the rapidly-changing “parameters” that best describe this data. Every 3-6 months, it updates 10 thousand collections of “hyperparameters” that govern the parameter-learning process. Kinaxis would […]

This research project aims to revolutionize heating and cooling systems in buildings by combining Artificial Intelligence (AI) and solar energy. By developing smart algorithms, the HVAC system will adapt to changes in the environment and occupancy patterns, ensuring optimal energy use and reducing environmental impact. The intern will design simulations to evaluate performance, compare results […]

Titanium alloys are used to manufacture aerospace components that require high strength at high operating temperatures such as fan blades, heat shields and jet engine exhaust cones. Parts that have complex geometries are commonly formed at high temperature (around 900°C) so as to achieve maximum ductility during the forming process. By applying a small oscillating […]

This project aims to understand the impact of energy development activities on birdlife and support effective conservation measures. Alberta’s boreal forest plays a crucial role, serving as both a unique ecosystem for millions of breeding birds and a key resource for the oil and gas industry. By analyzing a decade of bird banding data, the […]

Inflammation is an undesirable effect that can be caused by the high level of hydrogen peroxide (H2O2), an oxidant molecule. This inflammation is found mostly in small and large intestines area. Catalase, is a protein (antioxidant agent). It is able to decompose large quantities of H2O2 into water and oxygen and thus, eliminating this harmful […]

The timber-harvesting and processing industries anticipate that the use of robotics and AI technologies will increase productivity, safety and job satisfaction of machine operators to help address the shrinking labor force. We have engaged with our partner, FPInnovations, on research to increase the autonomy of log-loading machines with the goal to demonstrate the technology on […]

This research project aims to develop an innovative blood test for earlier detection of an important subtype of lung tumors, known as neuroendocrine neoplasms (NENs). Unfortunately, these tumors are too often diagnosed late and are difficult to treat. Our approach is to exploit a specific characteristic of neoplasms: tumor cells adapt the way they generate […]

The objective of this research project is to design, fabricate and test a prototype wireless power transmission system that uses a thermophotovoltaic (TPV) system to receive the power beam. By using a TPV system as the receiver (instead of a photovoltaic cell) the electromagnetic radiation can have almost any wavelength. This opens a broad range […]

As an anti-inflammatory drug has been recently approved to prevent heart attacks in heart disease patients, specific blood tests are needed to guide the application of such drugs. There is currently no blood test to identify patients who may benefit from this drug. This project aims to evaluate the accuracy of a current clinical blood […]

This research project aims to develop a comprehensive predictive framework for heat treatment furnaces to enhance operational efficiency, product quality, and environmental sustainability. The project focuses on creating a data preprocessing pipeline tailored for big machinery sensor data, innovative AI-enabled anomaly detection models, real-time furnace operation analysis, and quality prediction models. Key objectives include obtaining […]