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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Optimisation conjointe de la productivité et de l’ergonomie dans un environnement de simulation 3D (Ergonomic Workplace Designer)

Ce projet vise à produire des connaissances et méthodes nouvelles en ergonomie occupationnelle qui vont permettre d’augmenter les capacités du logiciel Ergonomic Workplace Designer (EWD), dont une première version a été mise en marché par Dassault systèmes au cours de l’année 2021. Ce logiciel d’ergonomie virtuelle est destiné aux concepteurs de systèmes de production de […]

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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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Graph representations for aggregate insurance risk modeling and prediction

As a reinsurer, the partner organization backs risky and/or high face-value policies that are otherwise detrimental to insurance companies to underwrite. However, currently the available information on the policyholder is based on prior information stored in the company databases and on previous policies held or claims administered and/or what is presented on the forms provided […]

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Portrait de l’Avena fatua L. au Québec : moyens de lutte et proposition de changement de pratiques chez les producteurs de blé de printemps (Triticum aestivium L.)

La présence de folle avoine dans les cultures de blé entraine des pertes de rendements, de qualité de la farine, des coûts et des difficultés pour le battage et le criblage. Pour lutter contre la folle avoine, les agriculteurs en agriculture conventionnelle utilisent des herbicides, d’autres en agriculture biologique, n’en utilisent pas. Des pressions sociales […]

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Developing a nanoparticle platform for cell-free protein engineering

This project aims at developing a nanoparticle-based technology that will allow us to engineer and screen proteins for catalytic activity in a cell-free environment. The proposed method will be faster and robust compared to conventional protein engineering techniques. This will be achieved by combining cell-free protein systems (CFPS) and magnetic nanoparticle (MNP) to make screening […]

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