This project, based at the Tyndall Institute at University College Cork in Ireland, is creating one of the first open-access, lab-quality biomechanics datasets focused on dance. It will record movement from different dance styles using motion capture, wearable sensors, and muscle activity measurements to better understand the physical demands of dance techniques and the risks […]

Neural Networks (NN) use a set of individual units (neurons) connected together to learn a specific behavior from a dataset. For example, NN excel in classification tasks where given a dataset labelled with presence or absence of a feature in each entry, they are able to detect the feature presence on new inputs. This technology […]

Through this project, interns will support organizations and initiatives advancing climate finance and social entrepreneurship in the Victoria and British Columbia ecosystem.

Au tournant du 20e siècle, les artistes canadiennes Mary Bell Eastlake, Florence Carlyle, Henrietta Mabel May, Helen McNicoll et Laura Muntz Lyall ont traversé l’Atlantique pour se former dans les académies parisiennes. Pourtant, leurs parcours remarquables demeurent éclipsés par leurs homologues masculins dans l’histoire de l’impressionnisme canadien. Ce projet dévoile comment ces artistes femmes ont […]

Digital technologies and practices—including social networking—are now pervasive and have been adopted society-wide. This creates new possibilities for engagement and interaction among academic professionals, research partners, collaborators, stakeholders, students, and additional members of the public. This project focuses on continuing to advance the research, analysis, and engagement of the Canadian Humanities and Social Sciences (HSS) […]

In Canada’s remote and weather-challenged regions, inspecting critical infrastructure like bridges or monitoring agricultural sites such as vertical farms often involves costly, dangerous, and infrequent field visits. This project explores whether there is a commercial market for a new platform that enables engineers to perform these inspections remotely, using virtual reality (VR), autonomous drones, and […]

The Educator Experience is creating an innovative private podcast platform designed to deliver exclusive, high-value content to a dedicated educator audience while fostering community engagement and long-term member relationships. This internship will focus on building the foundation for the platform, including researching best practices for private podcast delivery, designing the member experience, developing content access […]

Le bassin versant de la rivière Cedeño au Mexique est un bassin d’importance pour la région de Veracruz. Ce bassin est cependant caractérisé par des problématiques liées à la gestion de l’eau ainsi qu’à la qualité de l’eau. Ces problèmes influencent non seulement l’alimentation en eau de la ville de Naolinco mais aussi plusieurs producteurs […]

Ce projet de recherche vise à améliorer le traitement des données 3D produites par des capteurs comme le Lidar, utilisés pour cartographier des environnements en haute précision. Ces capteurs génèrent des milliards de points, appelés nuages de points, qui sont aujourd’hui difficiles à analyser rapidement et efficacement. L’objectif est de développer des outils capables de […]

En 2023, le ministère de la Santé et des Services sociaux du Québec a reconnu le droit à la procréation comme essentiel au bien-être des personnes de la diversité sexuelle et de genre. Or, les ressources demeurent limitées et les professionnel·le·s de la santé et du social soulignent un manque de formation préoccupant pour répondre […]

This project will study a relationship between graph (network) theory and algebraic objects known as ideals. Graph theory is a major branch of mathematics with diverse applications to society and industry, including transportation system modelling, social media marketing, and statistical models, among others. To study a graph, one can use the algebraic structure of a […]

This research project explores how agentic AI—autonomous AI agents with the ability to perceive, reason, and act—can be designed and deployed within recommendation systems to proactively identify and counteract shilling attacks. These attacks involve malicious users injecting fake reviews or ratings to manipulate recommendations. The project aims to develop an adaptive, multi-agent, Agentic AI-driven model […]