Collaboration and Capacity building are required to engage with the challenges and benefits of technical expertise within, and available to, municipal politics and policy, the challenges and benefits of both representative and direct democracy, and the existence of multiple sources of knowledge, including the social sciences, Indigenous knowledges, and local knowledge. This project is the […]

Given the ever growing neural networks being developed and the abundant empirical evidence that model/data scale play an important role in enabling high-quality models of data, inference cost becomes a bottleneck to the deployment of state-of-the-art automated predictors. To address that, this research project aims to develop algorithms that can predict outcomes by combining predictions […]

Physical activities, such as running, cycling, and weightlifting, are typically associated with a subjective feeling of exertion. Such perception of exertion is generally defined as “how heavy and strenuous a physical task is”. People’s subjective feelings of exertion is strongly associated with the task intensity and their energy expenditure. People also often exercise together, both […]

The spectrum environment for the satellite communications industry is becoming congested, contested, and complex due to increasingly massive constellation deployments. Newly activated terminals can take a long time to find and establish a link with their desired satellite, resulting in significant downtime. Beamforming is a key method for producing high-data rates and efficient communication links. […]

The need for more sustainable buildings has driven demand for tall mass timber structures in Canada. However, these structures must be designed to prevent structural collapse and protect human life in the event of a large earthquake. As a result, it is crucial that the structural members and their connections be designed to have sufficient […]

Cette recherche vise à implanter une batterie d’évaluation complète pour les jeunes joueurs de tennis afin de mieux comprendre et améliorer leurs compétences. Le projet prévoit des tests variés, qui mesureront des aspects techniques, tactiques, physiques et psychologiques des athlètes. Adaptés selon l’âge et le niveau de compétition, ces tests seront pratiqués sur un large […]

Morphocell has developed a cell therapy platform for the treatment of acute and acute-on-chronic liver failure, consisting in the implantation of organoids that can fulfill the liver’s main functions. These liver tissues are embedded within a hydrogel that forms a support to the biological material. This hydrogel enables the diffusion of all nutrients, small molecules […]

This research project will provide an original historical overview of the connections between metal and mineral mining, metal and mineral mining chemical production, material transport via road and railway infrastructure, and Indigenous jurisdiction, in the Northern Great Lakes bioregion of Ontario, Canada. The intention of this project is to use a historical perspective gleaned through […]

Forestry is a cornerstone for many communities, and maintaining forest ecosystems is critical for habitat conservation and the maintenance of wildlife. The aim of this project is to build knowledge that will aid in promoting sustainable forestry and more resilient forest ecosystems. Climate change is increasing the severity and frequency of drought events. In this […]

Maket is developing a generative pipeline for schematic floor plan creation that can adapt to various user-defined constraints and preferences. Maket plans to improve the functional output of the platform by using a machine learning approach that can produce floor plans representing the diversity and quality of those in the real world, while respecting the […]

AMD graphics cards are extensively used for computer games, and testing their performance involves manually playing various titles on multiple configurations. Automated gameplay can save time and effort during this process. However, using game images as input presents challenges for reinforcement learning (RL) agents, specifically in player navigation and movement. This internship aims to develop […]

The project aims to evaluate microplastic removal technologies from wastewater effluent and surface water of the Rideau River in Ontario Canada. A specifically designed net with a novel mesh product that has been developed to capture microplastics will be deployed to a wastewater effluent stream to test removal capabilities. Furthermore, removing microplastics from surface water […]