Le Music Legacy Project – Bibliothèque des performances musicales du monde en Réalité Virtuelle

Conscient des difficultés auxquelles font face de nombreux musiciens, ingénieurs du son et réalisateurs dans différents pays (et convaincu de l’importance de l’engagement du chercheur auprès des populations étudiées), je souhaite développer à travers mes recherches postdoctorales une structure qui fasse le pont entre recherche ethnomusicologique, création musicale et engagement social. Pour ce faire, il […]

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Light collection optimization with semiconductor photodetectors

Better light collection by photodetectors would automatically improve signal to noise ratio and photodetector performance. For example, for the positron emission tomography application, it would result in a better image quality for a lower dose. The main cause of the light loss is too much reflection of light that is trying to travel from the […]

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Light collection optimization with semiconductor photodetectors – Year two

Better light collection by photodetectors would automatically improve signal to noise ratio and photodetector performance. For example, for the positron emission tomography application, it would result in a better image quality for a lower dose. The main cause of the light loss is too much reflection of light that is trying to travel from the […]

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Smarter Imaging for Everyone: Adapting AI-Based Diffusion MRI Analysis to Low-Field Scanners

This project tackles a major challenge in modern brain imaging: advanced techniques like diffusion MRI and tractography are powerful tools for studying conditions such as multiple sclerosis, dementia, and brain cancer, but they rely on expensive, high-resolution scanners that are often unavailable in routine clinical settings—especially in underserved or rural communities. These methods also struggle […]

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Camera data collection and modelling in CEA

Controlled environment agriculture (CEA) is moving towards innovative, remote monitoring instrumentation and artificial intelligence solutions that can predict and detect physiological plant characteristics that will improve crop yield. Creating a reliable plant health monitoring system is critical to oversee plant health, track growth rates/yield, and identify diseases, coupled with prevention strategies that safeguard crop integrity […]

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Assistant.e de recherche aux études sectorielles en innovation

Premièrement, développer une compréhension suffisante des secteurs de l’édition de logiciel ainsi que de la finance et l’assurance afin d’y identifier les forces et faiblesses en matière de productivité et d’impact sociétal ainsi que les écarts avec d’autres juridictions. Deuxièmement, être capable d’identifier au sein de chaque secteur comment l’investissement et l’innovation peuvent y améliorer […]

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Optimization of porewater extraction techniques to evaluate thiosalts formation and mobility in unsaturated tailings

Large volumes of mineral waste are inevitably generated as mineral resources are critical for economic development, technology innovation and energy transition. Tailings storage facilities (TSF) store mineral waste that initially remain exposed to precipitation and atmospheric conditions. This leads to a series of geochemical reactions releasing dissolved constituents in tailings porewaters. Hydrogeological conditions play a […]

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Bourse de stage de recherche à l’Université de Sherbrooke

« Optimisation du couplage magnétomécanique pour les technologies quantiques ». Dans le groupe, nous travaillons sur l’optomécanique en régime microonde en utilisant une interaction magnétomécanique. Cette interaction permet d’obtenir un couplage record entre un résonateur microonde et un système micro- mécanique. Dans le contexte de ce projet, vous aurez l’opportunité d’explorer différentes approches, telle que […]

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Quantum Machine Learning for Sustainable Aerial RIS-ISAC Networks: Minimizing Electromagnetic Exposure through Intelligent System Design

This research project explores the use of quantum machine learning (QML) to optimize aerial reconfigurable intelligent surface (RIS)-assisted networks that integrate sensing and communication (ISAC). The goal is to enhance the sustainability and efficiency of these advanced wireless systems by intelligently minimizing electromagnetic field (EMF) exposure. By leveraging quantum-enhanced algorithms, the project aims to design […]

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Developing a newly tunable Phase-Mask Interferometer for Fiber Bragg Grating inscription

Fiber Bragg gratings (FBGs) have attracted considerable interest in the past three decades as a key technology in different applications. The intention of this project is to develop a FBG writing technique based on a scanning tunable Phase-Mask Interferometer using different UV lasers. The project includes optimizing the tunability of the interferometer, and analyzing the […]

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Developing a newly tunable Phase-Mask Interferometer for Fiber Bragg Grating inscription – Year two

Fiber Bragg gratings (FBGs) have attracted considerable interest in the past three decades as a key technology in different applications. The intention of this project is to develop a FBG writing technique based on a scanning tunable Phase-Mask Interferometer using different UV lasers. The project includes optimizing the tunability of the interferometer, and analyzing the […]

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