MXene-Supported Electrocatalysts for Enhanced Oxygen Evolution Reaction in Green Hydrogen Production

This project focuses on developing advanced catalysts for green hydrogen production by using MXene, a highly conductive nanomaterial, as a support for oxygen evolution reaction (OER) catalysts. Efficient and durable OER catalysts are essential for water electrolysis, a key technology for producing hydrogen as a clean energy source. By combining expertise from the University of […]

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Linking geologic history to geothermal resources in the Liard Basin, Northwest Territories, Canada

Canada’s northern communities are overly dependent on diesel fuel, which poses an economic threat in the event of a supply disruption (e.g., river flooding, forest fires). Therefore, the use of geothermal energy is an essential step towards independence and self-sufficiency. In the Northwest Territories, high geothermal gradients offer long-term, year-round heating and power for northern […]

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Prioritizing Test Cases to Enhance the Safety of Automotive Systems

Cyber-physical systems (CPS) are made of software components interacting with their physical environment. They are used in many domains: Automotive, energy, healthcare, and many others. Within the automotive domain, the need for software is expanding. Software is transitioning from supporting infotainment systems to driving functionalities (e.g., cruise controller, automated pilots). As the need for software […]

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Mise au point d’un nouveau procédé de fabrication de laser

Les travaux du stage seront effectués à l’Institut interdisciplinaire d’innovation technologique de l’Université de Sherbrooke au sein du groupe de recherche de la professeure Gwenaëlle Hamon qui se spécialise sur les procédés de micro-fabrication et caractérisation des dispositifs optoélectroniques tels que les panneaux solaires, phototransducteurs, lasers, etc. Le stage proposé vise la mise au point […]

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Metabolomics & Cancer Biomarkers

Renal cell carcinoma (RCC) is a common and aggressive form of kidney cancer, often diagnosed at advanced stages due to the lack of early symptoms. This project aims to improve RCC diagnosis by identifying metabolic biomarkers through a multiomics approach, integrating metabolomics and transcriptomics data. Using advanced mass spectrometry (LC-MS) and computational tools like CAT […]

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Design Principles of Biological Networks

This project aims to uncover the design principles of biological networks, such as blood vessels in the kidney and brain, by developing automated tools to analyze high-resolution 3D images of human embryo vasculature. Using advanced imaging techniques and deep learning, the research will create efficient methods to study how these networks efficiently transport nutrients and […]

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Passive Temperature-Responsive Solar Energy Switch for Heat and Electricity Generation

Harnessing Solar Power for Smarter Energy Use: This project introduces a passive solar energy switch that automatically adjusts how it uses sunlight based on temperature, without electricity or moving parts. It relies on a Fresnel lens that focuses sunlight. When temperatures are low, water condenses on the lens, causing solar transmission and heating. When temperatures […]

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ESROP – KMUTT – Context Aware AI Music Therapist for Elderly with Neurodegenerative Diseases

Neurodegenerative diseases like Alzheimer’s and Parkinson’s cause cognitive decline, motor impairment, and emotional distress. While pharmacological treatments exist, music therapy has shown promise in alleviating symptoms. This project enhances music therapy using AI, making interventions more accessible and personalized. This project aim to develop an AI-powered wearable system that personalizes music therapy based on emotional […]

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Improved Order Computation in Class Groups of Real Quadratic Fields

Cryptography is an important tool for safeguarding our data from attackers. The security of several modern cryptosystems relies on unproven properties of an algebraic structure called the class group of an algebraic number field. In the absence of proofs, tabulating class groups in order to generate numerical evidence of these unproven properties remains the best […]

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La biodiversité des lacs et des forêts d’eskers

Ce projet étudie les eskers, qui sont des formations géologiques spéciales faites de sable et de gravier laissés par les anciens glaciers. Ces eskers stockent une eau potable propre et abritent des écosystèmes uniques. Cependant, les activités forestières peuvent modifier ces milieux et impacter les plantes et les animaux, surtout les petits insectes du sol […]

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Caractérisation des déformations hétérogènes en compression : Analyse des simulations numériques

L’objectif du stage de recherche proposé est de poursuivre un travail de thèse portant sur la caractérisation des déformations d’un matériau testé en compression. Pour exploiter des essais de compression et en déduite les propriétés mécaniques d’un matériau, l’hypothèse de la déformation homogène du matériau est faite. Or, la déformation est hétérogène à cause de […]

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