The intent of this research project is to make iCBT technologies safer, and evidenced based for the Canadian populations. Many available products on the market have not been tested or evaluated for safety and whether or not they are effective in helping people self-manage their mental health needs is unknown. The research and interviews from […]

Le nombre d’articles scientifiques a grandement augmenté ces dernières années dans la plupart des disciplines et notamment en chimie. Ce flux grandissant d’informations complique le suivi des innovations techniques issues de la recherche et leur intégration dans le processus de production par les entreprises du secteur de la chimie. Ce projet vise donc à développer […]

Concrete—the most common construction material globally—represents the main component of construction. Cement production and its use in concrete as a binder are among the highest carbon dioxide producing processes, thereby contributing to climate change. Any decrease in carbon emissions from construction will help improve the industry’s long-term sustainability and help the environment. One potential solution […]

People with Intellectual Disability (ID) experience higher rates of mental health disorders compared to the general population and yet access services to a lesser degree. The present project will begin to address the lack of access to mental health services by providing a resource designed to enhance mental health literacy, and provide validated self-management strategies […]

The goal is to develop a best practice guide for Canadian credit unions, focusing on the legal duties of Canadian directors and officers in respect of managing climate change, best practices for corporate boards, reporting on the latest global research on best climate governance practices for credit unions.

L’industrie aéronautique amorce un virage irréversible vers l’électrification de la propulsion des aéronefs. À travers ce projet Bell Textron voudrait analyser les performances d’un système hybride batterie – multipile à l’échelle 1 (grandeur réelle). La compagne s’est donc adjoint une équipe de recherche de l’Institut de recherche sur l’hydrogène afin de mettre en place un […]

Canadians have experienced tremendous mental health challenges over the last few years. At the same time, systems to address mental health are over-burdened. There is thus a clear need to scalable and low-cost technologies that could support the mental and emotional wellbeing of Canadians. This project is about developing innovations in artificial intelligence that could […]

La recherche vise à réaliser des portraits socioéconomiques et sociodémographiques des résidents types des milieux denses (aires TOD) afin de connaître leurs besoins (ex : taille et coûts des logements, écoles, parcs, moyens de se déplacer, etc.). Ces portraits permettront à la Ville de connaître les besoins de ses futurs résidents et ainsi l’aider à […]

Our project proposed an invention of a fully self-contained, autonomous flying robot that can mimic the morphology of the bat wings. Inspired by its attractive flying characteristics, our flying robot could achieve more agile flying ability in hovering and turning than conventional micro aerial vehicles. Meanwhile, the shape-morphing and flapping wings help the robot fly […]

Our proposed research is to create an algorithm capable of pre-evaluating diabetes patients’ meals before they consume them with the snap of a picture. We are attempting to accomplish this goal by employing AI, machine learning as well as computer vision for real-time analysis. Our goal is to analyse a user’s meal to return an […]

The project is mainly in the domain of achieving real-time computational speed of methods to remove noise from video signals (for example, those taken by a professional cinema camera). Specifically, in this project, we propose first to improve the speed of current technology that we have developed in previous MITACS projects, in order to make […]

When a previously trained machine learning model is put into production, the production phase begins where said model makes predictions on the inputs provided to it. When the distribution of production data changes over time, we talk about data drift. Then the model is likely to become less efficient, or even obsolete. The project consists […]