Evaluating the effects of motion cues in virtual truck driver training

The use of virtual reality (VR) and realistic real-time graphics has become a critical component in various industries, including aviation. However, the benefits and necessity of full-motion simulators in training remain unclear, especially when considering the fundamental differences between tasks such as flying and driving. This research aims to address the knowledge gap in understanding […]

Read More
Mitigation of Fouling of Tertiary UF Membranes at Low Temperatures

Membranes that are used in wastewater treatment have been found to clog more rapidly at cold temperatures. This study will examine alternative operating strategies that will reduce clogging and thereby reduce the needs for extra energy and chemical consumption under these operating conditions.

Read More
Developing a web-based 3D content platform as a Service (PaaS) by improving network capacities and implementing technological solutions to improve 3D capacities

With the recent emergence of the Metaverse, we observe an exponential omnipresence of 3D content in all technological fields, generating ever-large data sets on multiple different devices and a multiplication of user needs. Providing remote computing power, especially 3D rendering, represents a major technological challenge for many fields. However, real-time experiences and collaboration – which […]

Read More
Managing environmental impacts of emerging technologies in Canada: electrochemical lithium refining

Several approaches have been developed to reduce GHG emissions, and a portfolio of technologies will likely be needed (IPCC, 2018). We propose to investigate a novel technology that may play a role in Canada’s economy decarbonization: on-site battery-grade lithium refining developed by Mangrove Lithium. However, the environmental impacts are still not clearly reported, which may […]

Read More
The formation of Li rich pegmatites in northern Ontario

Development of new critical metals deposits are essential for the world to transition to a carbon neutral future. One important type of critical metal is lithium, essential for production lithium-ion batteries which are common in many consumer products including electric cars. This project will use a combination of geological mapping and in situ chemical analyses […]

Read More
ToxBuster: Robust & Trustworthy Toxicity Detection

Hate speech and toxicity pose a serious threat in online spaces, particularly for marginalized communities. Detecting and preventing harmful speech in online games is challenging, and current methods lack transparency and reliability. To address this issue, this project aims to develop a robust and trustworthy toxicity detection model for in-game chat. On the robustness side, […]

Read More
Caractérisation d’un système terahertz d’imagerie multispectrale

L’imagerie THz multispectrale est une technologie prometteuse qui peut révolutionner le contrôle de la qualité dans des secteurs tels que l’aérospatiale et l’alimentation. Cette technique d’imagerie utilise le rayonnement térahertz pour créer des images détaillées d’objets, qui peuvent être utilisées pour détecter des défauts cachés et des contaminants qui ne sont pas visibles à l’œil […]

Read More
Mesure du comportement en fatigue de métaux d’apport de haute résistance pour la réparation in-situ de fissures sur les roues de turbines hydrauliques

Les roues de turbines hydrauliques au nombre de 350 dans le parc de production d’Hydro-Québec fournissent la quasi-totalité de la puissance électrique disponible au Québec. Elles sont donc des composantes stratégiques. l Conçues pour une vie utile de 70 ans, elles dépassent rarement le cap des 15 ans sans subir à répétition des réparations suite […]

Read More
Modeling Impacts of Cyberattacks on Financial Assets Valuation

This research aims to create a platform that can predict the impacts of cyberattacks on various financial assets, such as bonds, stocks, and a company’s credit risk. The focus is on the impacts of cyberattacks on the prices of financial assets listed on the Toronto Stock Exchange (TSE). Still, the prediction models and tools developed […]

Read More
Design improvement of novel textile garment technology

In this project, we focus on a composite wearable system that combines a kirigami pattern with fabrics with the goal of realizing a wearable garment that can morph and conform to human body parts. Preliminary results have shown challenges on the fronts of manufacturing and attainable performance, i.e. the integration of the textiles and the […]

Read More
Multi-task Reinforcement Learning for Video Games

An important component of modern video games is the non-player character (NPC), moving entities in-game that are not controlled by a human, which may cooperate with, oppose, or otherwise interact with the player. For an NPC to interact with the game word it must often perform complex tasks that are difficult to program explicitly. Research […]

Read More
AI-Based Content Adaptive Video Compression

The rapid evolution of video resolution has significantly increased the video bitrate requirement, making data transfer a challenging task for data-intensive applications like video conferencing, cloud gaming and game streaming. With the rise of machine learning, studies have shown the potential of embedding conventional video compression algorithms with AI-based methods to enhance their performance. This […]

Read More