Fuel cells are versatile, low-emission alternative energy sources, but their optimization and failure analyses are complex due to their black-box nature. For fuel cells to perform at peak proficiency, each component requires a different level of hydration, yet these parameters are currently unattainable with conventional diagnostic techniques. In consultation with Greenlight Innovation, this project focuses […]

Self-supervised representation learning (SSRL) has advanced considerably by exploiting the transformation invariance assumption under artificially designed data augmentations. While augmentation-based SSRL algorithms push the boundaries of performance in computer vision and natural language processing, they are often not directly applicable to other data modalities, and can conflict with application specific data augmentation constraints. This project […]

Computational chemistry is a powerful tool in the development of new pharmaceuticals, materials, and batteries. With accurate and fast computational methods, one can predict the physical and chemical properties of a molecule without having to prepare it in a laboratory and perform experiments, which can yield dramatic time and cost savings. However, the chemistry of […]

Ce projet s’intéresse au déploiement d’approches sensibles aux traumas en contexte d’intervention pour des populations en situation de précarité sociale. La notion de traumatisme complexe réfère à l’exposition, particulièrement pendant l’enfance et l’adolescence, à des traumatismes interpersonnels répétés, et aux réactions comportementales associées à ces événements négatifs dans de nombreux domaines du fonctionnement (Greeson et […]

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Edmonton’s Chinatown has long served as a vibrant cultural, social and commercial hub for generations of Asian immigrants and local residents. Yet it is characterized by a complex blend of social and economic challenges. This proposed project, “Growing a Sustainable Tourism in Edmonton’s Chinatown,” is designed to accelerate efforts to revitalize Edmonton’s Chinatown through planning […]

Our research project focuses on monitoring crops using satellite images. To address the problem, we leverage a fast-growing field of graph signal processing (GSP), which expands upon traditional signal processing techniques such as Fourier transform and wavelets to accommodate the graph domain. Specifically, we propose to unroll a designed graph-based algorithm into an interpretable feed-forward […]

Forestry directly modifies wildlife habitat, but how can informed, science-based management decisions be made without an adequate understanding of how different species will be affected? In the Central Coast of British Columbia, decades of industrial forestry have converted many stands of old-growth forest to second growth, creating networks of roads and cut blocks of varied […]

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW.

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW.

Tissue engineering involves extracting cells from patients, growing them in a laboratory setting, and subsequently employing them for disease treatment . However, cell expansion encounters various obstacles, such as significant expenses and labor requirements, resulting in increased treatment costs. Moreover, the industry struggles with challenges such as skilled personnel shortages and difficulties in scaling up […]

This project aims to improve how the long-term care (LTC) sector, generally, and Thrive Group, specifically, understand and implement equity, diversity, and inclusion (EDI) practices for staff and residents. Thrive Group recognizes the need for co-designed EDI strategies that advance inclusive excellence in LTC and create a sense of belonging for all staff and residents […]