Acknowledging that discrimination and prejudice of various sorts (e.g., verbal, behavioural, environmental) continue to exist in the education system, this research seeks to address how and why microaggressions against Black, Indigenous, and People of Colour (BIPOC), within engineering departments, show up among peers in classrooms, across interactions in lab environments, group-activities, and more. This research […]

Video Games require a vast array of different computations to present the desired experience. These computations must be completed consistently to make the software responsive to the user. The industry trend towards many separate processors (multi-core) in the same physical device and the emergence of network based ‘cloud’ computing have created many opportunities, but also […]

Due to urbanization in the GTA, many green areas are replaced by impervious infrastructure, preventing runoff infiltration and increasing flood risks. The Meadoway project proposed by the Toronto and Region Conservation Authority (TRCA) aims to restore meadow habitats with native plants along a hydro-corridor over 16 km across Scarborough, which can potentially improve the runoff […]

Dans ce projet, nous proposons l’émulation d’une plateforme transactionnelle dans un marché local de l’énergie pour apprendre et tester les différents algorithmes et approches d’optimisation et de contrôle décentralisés sur les échanges entre les agents, comprendre les contraintes techniques et les bloqueurs, et définir les enjeux d’intégration des RED dans le réseau électrique. Dans un […]

The purpose of this research is to develop a solution that uses Artificial Intelligence and Predictive Analytics to Improving the Efficiency in Customer Interactions and Investment Selection.

The proposed project involves pre-commercial research and development for a BC-based Zero Emission Vehicle (ZEV) product, including: i) development and characterization of novel materials – transport layers in the (MEA) of high-power density PEM fuel cells; and ii) establishment of standardized material testing protocols/procedures to be injected into Ballard’s next-generation products, targeted at the heavy-duty […]

Information gathered from internet sources has high variance and different types of noise. This causes out-of-distribution problems with downstream ML modules such as category classification and keyword extraction. The extremely large size of internet-scale datasets requires a solution that is efficient and scalable. The objective of this project is to develop a start-of-the-art anomaly detection […]

This project examines the feasibility of low-cost evolutionary housing strategies to accommodate changing uses in Canada. It is a partnership between the University of Waterloo school of Architecture and architect John van Nostrand who has developed numerous prototypes for evolutionary housing in Canada and internationally. The research will begin with an analysis of existing prototypes […]

Automated production lines use in food, beverage and pharmaceutical manufacture can subject the product being produced and especially the product packaging to high levels of mechanical stress. These stresses can take many forms, be it impact, side pressure, vertical pressure, etc. Plant quality assurance engineers are constantly making adjustments to their automated systems to reduce […]

This proposal details an approach for evaluating a planned project led by SII called Participatory Cities: a new inclusive, system-based approach to stimulating and supporting dense networks of practical ‘participation culture’ in cities around the world. With proof of concept developed and tested in London, UK, by the Participatory City Foundation, the model will now […]

Development of selective drug delivery agents that target tumor cells with minimal toxicity to normal tissues is a major challenge in cancer therapy. Non-toxic bacteria can be used to target solid tumors because, within a patient’s body, they can only be active at a tumor site (where oxygen levels are pathologically low). Prior attempts at […]

Ce projet s’inscrit dans la grande famille des projets de systèmes de recommandation, où un algorithme doit recommander aux utilisateurs des produits ou des documents qui seraient intéressants pour eux, basé sur ce que nous connaissons de l’utilisateur et sur sa session de recherche actuelle. Coveo a déjà des modèles de recommandation en place, dans […]