Cellulose nanofibrils (CNFs) are attractive eco-friendly and renewable materials for replacing the petroleum-based synthetic fibers in high-performance composites applications. Performance Biofilaments has developed a proprietary processing technology for producing CNFs from sustainably harvested Canadian wood fiber, using mechanical means without the need for additional chemical or enzymatic pre-treatment. The process thus allows for large volume […]

A hydrofoil is a wing like structure located on the underside of a watercraft, creating a lifting force which lifts the craft out of the water as it gains speed. They increase the fuel efficiency and speed of watercraft, allowing the craft to glide more smoothly over water. Hydrofoil effectiveness is restricted by issues such […]

This project focuses on using deep learning techniques and AI for medical image processing, optimizing these techniques to maximize efficiency and accuracy in processing large sets medical data. This project specifically aims to improve generalization and explainability of deep learning models used in medical imaging, focusing on medical image segmentation to explore how current medical […]

This project investigates biomechanical risk factors associated with non-specific low back pain in road cyclists. Using motion capture and isokinetic core strength testing, spinal movement patterns and muscular deficits are analyzed during cycling under controlled laboratory conditions and highly realistic treadmill cycling with the athlete’s own bicycle. The goal is to better understand how segmental […]

This project will develop new bio-based materials to support the removal of persistent organic pollutants from water using light-driven processes. The research will focus on creating porous, plant-protein-based aerogels that can act as stable platforms for immobilizing photocatalytic materials, making them easier to handle, recover, and reuse in water treatment applications. By combining these bio-derived […]

The rapid growth of artificial intelligence workloads, cloud computing, and resource-disaggregated services is significantly increasing traffic inside data centers, pushing conventional electrical switching architectures toward limits in bandwidth density, power consumption, and I/O scalability [1]. Electrical switching fabrics require multiple tiers and repeated opticalelectrical-optical conversions, which increase latency, energy consumption, and operational complexity as network […]

This project aims to develop intelligent control systems for robotic exoskeletons that can better assist human movement. Using artificial intelligence, specifically deep reinforcement learning, the project will train controllers in advanced computer simulations that model both the human body and the robotic device. Muscle activity signals (EMG) will be incorporated so that the exoskeleton can […]

This project aims to improve how polymer-based solvents are modeled during freezing and solidification processes that are critical to modern semiconductor manufacturing. Building on prior experimental and theoretical studies (i.e., the collaborative work from participated institutions), the project will develop an accurate and reliable computational framework that captures how heat transfer and mechanical stresses interact […]

Ce projet propose une approche intégrée, combinant modélisation mécanique et apprentissage automatique, afin d’estimer quantitativement la durée de vie en fatigue et de prédire la durée de vie restante (RUL) des matrices. La démarche repose d’abord sur le développement d’un modèle numérique par éléments finis (FEM) de la matrice, intégrant des chargements représentatifs des conditions […]

This study focuses on parameter estimation for passive and non-operational satellites. With the increase in space technologies, space-related activities have expanded and the number of satellites has grown accordingly; as a result, non-operational satellites and potentially hazardous space debris have emerged. Information about these space objects is mostly obtained through measurements conducted from ground-based platforms. […]