Identifier les besoins et intégrer des modèles d’intelligence artificielle au sein d’une plateforme connectant la ville à ses habitants dans le cadre d’un projet autonome. La vie quotidienne d’un citoyen est largement influencée par des changements saisonniers extérieurs et par d’autres évènements prévisibles tels que les conditions météorologiques, les élections municipales, les affluences provoquées par […]

Les organisations produisent de grande quantité de données, de divers types, différentes sources et à une fréquence très élevée. Le phénomène des données volumineuses (communément appelé Big Data) constitue une mine d’or pour ces organisations car plusieurs données restent souvent encore sous exploitées. Ce projet vise donc à développer certains mécanismes afin d’identifier des opportunités […]

Yeast is a single celled micro-organism that converts carbohydrates to carbon dioxide and alcohols through the process of fermentation. Yeast is very useful in many industries and there are no local producers of yeast in Canada. This research will focus on optimizing the growth of selected marine yeast strain isolated from the marine environment for […]

L’ensachage de produits dans l’industrie agroalimentaire se fait couramment par vérification du poids du produit mis en sachet. Or, les contrôles de poids sont soumis à de fortes règlementations et cette étape constitue un ralentissement dans la mise en sachet du produit. L’objectif de ce projet est donc d’optimiser cette étape de la chaîne de […]

ParticipACTION is Canada’s leading physical activity promotion brand with a mission to support all Canadians to be more active. The goal of this research is to enhance the organization’s physical activity promotion practices for individuals who experience health inequities by identifying inclusive physical activity promotion strategies that currently exist, evaluating perceptions of ParticipACTION as a […]

High-frequency surface wave radar (HFSWR) is recognized as one of the essential tools for remote sensing of the ocean surface. HFSWR received data contains valuable information that can be used for ocean wave forecasting, and since it provides real-time data, it can be applied for search and rescue operations, oil and pollution spills, and tsunami […]

Route planning plays an integral part of each voyage in maritime operations. The selected route must be optimized in terms of economic factors and safety concerns. It also has to adhere to national and international regulations. Recently, the International Maritime Organization introduced a new regulatory instrument to promote the decarbonization of the shipping industry. The […]

This project aims to use and experiment deep learning technique on modern recommender systems such as Graph Convolutional Network. The purpose of this implementation will be to drastically improve recommendation structure’s benchmark. This will allow extract user’s embedding by mapping from pre-existing features that describe the user such as ID and relevant attributes. In this […]

High-frequency surface wave radar (HFSWR) is recognized as one of the essential tools for remote sensing of the ocean surface because it provides wide-area, all-weather, and near-real-time surveillance. It operates between 3 to 30 MHz and can detect a large area of thousands of square kilometers. Wind speed, wind direction, surface current, and significant wave […]

The field of plastic waste management is essential for a sustainable society that utilizes plastic waste for energy production and environmental safety. Plastic waste’s land filing and incineration have large environmental impacts due to greenhouse gas emissions. The mentioned challenges could be eliminated using a more reliable and controllable thermal source such as an inductively […]

This project will focus on developing a system to find the precise location of a landing pad as seen from a drone / helicopter. The proposed system uses radio frequency ranging between the devices onboard and devices deployed at the landing pad. Together with accelerometer and compass data, the system can figure out the position […]

With losses of soil carbon constraining our ability to ensure regional food security, there is increased focus on using regenerative agricultural management to improve soil health and the sustainability of our agri-food system. Numerous knowledge gaps exist around how we can reliably increase soil carbon, and how regenerative principles may be applied to field conditions […]