Smart Hydrofoil Project

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 […]

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ESROP – Project A4: Medical image processing/healthcare analytics with deep learning/explainable AI/federated learning

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 […]

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Biomechanical Risk Factors of Non-Specific Low Back pain in cyclists

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 […]

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Immobilized bio-based aerogel photocatalysts for degradation of organic pollutants in water

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 […]

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Analysis and experimental demonstration of fast optical switching

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 […]

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Adaptive EMG-Driven Control for Multi-DOF Robotic Exoskeletons

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 […]

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Multiscale Thermomechanical Analysis of Phase Change Phenomena in Polymer-Based Solvents

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 […]

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Prédiction de la durée de vie des matrices d’extrusion d’aluminium par modélisation mécanique et apprentissage automatique

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 […]

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Relative Attitude and Orbit Estimation of Passive Spacecraft

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. […]

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Electrochemical Cell Development for Pyrrhotite Resource Recovery Project

This project addresses Canada’s urgent need for sustainable extraction of strategic materials, particularly nickel and cobalt from mining waste streams, essential for electric vehicles, batteries, and renewable energy technologies. This 18-week internship focuses on developing breakthrough electrochemical technology to recover critical minerals from pyrrhotite tailings while generating green hydrogen. The research intern will work on […]

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