Parcours d’insertion et de réinsertion aux études des jeunes à risque : quelles sources de soutien contribuent à promouvoir la persévérance lors de la transition à l’âge adulte ?

Ce projet cible une population sous-représentée dans les études sur la transition à l’âge adulte, soit les jeunes abandonnant l’école avant la diplomation du secondaire. Il vise à approfondir le portrait de leurs parcours scolaires post-décrochage, auprès d’un échantillon de 545 jeunes provenant de milieux socioéconomiquement désavantagés, interviewés une fois à l’adolescence, puis une seconde […]

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Autonomous Metro Rail Sensor Data Analytics for Anomaly Detection and Correlation Analysis with Environmental Variables

Anomaly Detection (AD) is a key research problem in the fast-evolving area of Intelligent Transportation Systems. To proactively detect faults, AD methods are applied to detect deviation from regular behavior, which can also be caused by environmental factors such as weather conditions, neighbouring trains, and track curvature. Thales Canada has unlabeled data from their Next-Generation […]

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Incorporation de lignines Organosolv dans la formulation de mousses PU et d’adhésifs pour panneaux de bois agglomérés

L’objectif général de ce projet de recherche est d’évaluer le potentiel des lignines produites par un nouveau procédé Organosolv pour la formulation d’adhésifs PF et pMDI. Des modifications chimiques (phénolation, déméthylation, méthylolation) seront considérées pour optimiser le potentiel des lignines. Les adhésifs seront ensuite testés pour la production in-situ de PFMD à partir de la […]

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Lake Kivu Degasification Reservoir Engineering Study

Lake Kivu is a unique lake with a significant amount of methane and CO2 dissolved in its deep layer. The presence of these greenhouse gases poses a potential danger of massive disaster. The extraction of methane is viewed as a possible and profitable solution as the reduction of methane will enhance the ability of the […]

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Deep Learning Dataset Augmentation for Detecting Rare and Severe Contaminants in Waste Management Collection.

This project strives to identify rare and severe contaminants found in residential curbside recycling. Using computer vision techniques and machine learning, cameras analyze contaminants as they are tipped into recycling trucks. Some of these contaminants are rare, however they can pose severe risks to operators and the general public. As these contaminants are not common, […]

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Spatial variation in the foraging and nutritional ecology of Arctic char (Salvelinus alpinus) in the Kivalliq region

This research project will examine the diets of two geographically separate populations of Arctic char in proximity to the communities of Rankin Inlet and Naujaat, Nunavut. Using methods of stomach content, stable isotope, and highly branched isoprenoid analysis, we will determine whether the diets differ between the two separate populations. In addition, we will explore […]

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High Voltage Photo Transducers

There is a growing need for high voltage isolated DC/DC converters with a low form factor, for application in the electric automotive, renewable energy, and consumer electronic sectors. In this project, we propose to use the know-how of Université de Sherbrooke micro/nano fabrication of semiconductor devices with the unique optocouplers technology commercialised by Broadcom, to […]

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Development of Streamlined Data Processing Pipeline for Untargeted Metabolomics

Metabolomics is the study of the complete set of small molecules in human body. It is a cutting-edge technology that empowers precision health and drug discovery. Liquid chromatography-mass spectrometry (LC-MS) system is the most sensitive analytical platform for metabolomics. However, computer programs are urgently needed to automatically process metabolomics data. This project will incorporate state-of-the-art […]

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Characterization of SQUID amplifiers for optical TES readout and exploring multiplexing approaches

While current work in quantum computing with near term noisy devices is promising, key applications will require a universal, error-corrected and fault tolerant quantum computer. Xanadu’s proposed architecture uses photon number resolving detectors in a modular way to create photonic qubits. The detectors are based on superconducting transition edge sensors (TES). Previously, TES has been […]

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Deep Breathe: Developing and integrating deep learning strategies to automate and augment the interpretation of lung ultrasound images

Project Deep Breathe seeks to develop computer vision solutions that will aid in the use of lung ultrasound technology to accurately and easily diagnose lung conditions anywhere these portable machines can be brought. This will be done using large amount of lung ultrasound data at Western University and by employing artificial intelligence students from the […]

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Jacques Cartier Bridge Forged Pin Testing and Analysis

Fatigue damage and corrosion are of significant concern in bridge structures and can have grave consequences on public safety. In addition, bridge structures, such as the Jacques Cartier Bridge, that were built in the early 20th century can be more susceptible to damage as the bridge structures were not designed for current traffic load and […]

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