This project aims to develop advanced statistical methods to forecast how many passengers will be waiting at bus stops at any given time, considering various factors such as weather and special events. This project will do two main things. First, we will forecast the overall number of passengers over a given period, such as an […]

The objective of this project is to develop artificial intelligence (AI)-based solutions aimed at denoising ventilation-perfusion (V/Q) planar images for the detection of pulmonary embolism (PE). The denoising algorithm has the potential to solve two major limitations of V/Q scans: long acquisition times and currently insufficient techniques for generating pseudo-planar images from SPECT acquisitions. Our […]

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 […]

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 […]

Three-dimensional (3D) reality capture is an umbrella term for imaging techniques used to create accurate models of real scenes. An important reality capture technology is lidar or laser scanner devices that collect three-dimensional measurements of objects they can see. Laser scanners can be deployed on aircraft, a surveying tripod or on a self-driving car. Regardless […]

Le RM-581 est un dérivé aminostéroïde (AM) qui démontre des activités anticancéreuses prometteuses dans plusieurs types de cancers et ce, dans différents modèles in vitro et in vivo. Le défi de recherche dans ce projet sera d’étendre la propriété intellectuelle (PI) actuelle autour de l’aminostéroïde RM-581 par la synthèse de dérivés modifiés de sa partie […]

The protein hormones (ligands) that circulate in blood plasma and their receptors on the surface of cells are among the most important diagnostic and therapeutic molecules and are a key focus for the detection and treatment of diseases. Presenting the ligands on chromatography beads may permit the isolation of receptors by a modified form of […]

Dans le contexte actuel de changements climatiques et de réduction des gaz à effet de serre (GES), les municipalités québécoises doivent intégrer des matériaux plus respectueux de l’environnement dans leurs projets d’infrastructures routières. Pour les aider à sélectionner ces matériaux, le projet vise à développer un outil d’aide à la décision qui leur permettra de […]

The surge in options for online participation that accompanied the onset of the COVID-19 pandemic in 2020 was recognized by disability community members as a potential basis for accessibility gains, including in employment and education, where remote and hybrid access accommodations were previously characterized as impossible to implement. As much of the world has “returned […]

The goal of this project is to develop effective strategies to improve the quality of CarboMat’s asphaltene-derived carbon fibers for various multifunctional composite applications. Through this project, the partner organization, CarboMat Inc., would be able to leverage their funding because of the grant from Mitacs Elevate to work towards further development of their existing asphaltene-derived […]

This research project is focused on improving a potential treatment for life-threatening lung disorders through gene therapy, which involves using a genetically engineered virus (a viral vector) to deliver a healthy copy of the problematic gene to the patient’s lung cells. Our project has three main goals. First, we want to increase the production capacity […]

The main objective of this project is a comprehensive methodology that combines automated core characterization and AI methods to accurately forecast the geoenvironmental parameters of a deposit. By developing predictive models, this approach will enable the creation of a 3D geoenvironmental block model for the targeted deposit. This model will facilitate the prediction and optimization […]