Most current brain imaging software is designed to work with images that have a consistent anatomy. However, this can be a problem when there are changes in the brain, like the appearance or disappearance of lesions, between two scans taken at different times. While we could develop complex new software for these situations, many researchers […]

Durant ce projet de recherche, nous proposons différentes expériences (in vitro et in vivo) qui aideront à mettre en évidence le potentiel d’une molécule de type aminostéroïde pour traiter le cancer de façon sélective. Une preuve de concept in vivo sur une molécule candidate sélectionnée, montrant une sélectivité d’action suite à des essais in vitro, […]

In an era where AI can write articles, create reports, and even craft stories, ensuring this content is accurate, free from errors, and trustworthy is crucial. Our project, “Building Trust in AI-Generated Content: Innovative Strategies for Quality and Integrity Verification,” aims to tackle this important challenge and to measure and increase the reliability and trustworthiness […]

Dans un cadre éducatif, les procédés industriels sont rarement accessibles pour effectuer tests. Le recours à des outils de simulation de modèles dynamiques de ces procédés est souvent une solution pour permettre l’étude de ces procédés. Le réalisme de ces simulations est étroitement lié à la précision des modèles utilisés. Le présent projet vise à […]

As autonomous technology evolves, smart vehicles emerge as a pivotal development for transforming public transportation and minimizing transport costs. Key to their broad acceptance is the resolution of safety, stability, and compatibility issues. This project proposes a cutting-edge solution through a High-Definition (HD) map-aided, multi-sensor fusion approach, aiming at precise lane-level positioning and navigation in […]

Access to clean water is essential; however, it is becoming increasingly complex due to climate change uncertainties, which affect small, rural, and marginalized communities worldwide, including Indigenous communities within Canada. These communities rely on often-contaminated surface and rainwater sources, making them exceptionally vulnerable to climate change impacts. Microbial growth and unpleasant odors during water storage […]

L’objectif de ce projet de recherche consiste à comprendre comment les entreprises coconstruisent un plan de déplacement en harmonisant des sous-objectifs organisationnels et des besoins sociétaux. Nous souhaitons ainsi étudier le phénomène à travers lequel une entreprise devient une « institution de la mobilité durable », un véhicule permettant la réalisation de thématiques sociétales de […]

Recommender systems are artificial intelligences that, as their name would suggest, make recommendations based on provided inputs. For example, recommending jobs a person can apply to based on their resumes. Existing research on recommender systems in the Job and Education domains have focused on a single domain. Our research focuses on bridging the gap between […]

The objective of this investigation is to systematically quantify and compare the hydrogen embrittlement susceptibility of austempered (bainitic) steels to that of standard quenched and tempered (martensitic) steels used for manufacturing high strength mechanical fasteners. It has been shown that correctly high strength bainitic steels exhibit measurably superior ductility and toughness as compared to martensitic […]

Companies can realize the cost-saving benefits of having access to large amounts of data provided they have digital tools that allow efficient and accurate extraction of information from the dataset. The goal of this project is to conduct the research required for machine learning algorithms to provide reliable engineering predictions for industrial applications. To achieve […]

The demand for wireless power transmission is growing due to the increasing costs of transporting conventional fuels for satellites, drones, and aerospace systems. A promising solution lies in Thermophotovoltaic (TPV) technology, with an impressive system efficiency of around 50%, converting heat from any high-temperature sources into electric power. TPV systems, which are lightweight and have […]

Sleep is a central function of many species, and is studied widely in neurophysiology and computational neuroscience, yet its underlying mechanisms remain elusive. The common method for recording brain activity during sleep is polysomnography (PSG) which is expensive to operate and can prove to be heavy and bothersome for the recording subjects. In recent years, […]