L2M Validation / QC Automne 2025 / Optimisation de la carbonatation minérale in situ accélérée des résidus miniers issus de roches ultramafiques

Ce projet de stage vise à étudier et à valider le potentiel commercial d’un procédé innovant de séquestration du dioxyde de carbone (CO2) par carbonatation minérale accélérée in situ des résidus miniers issus de roches ultramafiques (ou ultrabasiques). Il s’agit d’une solution prometteuse pour réduire l’impact des émissions de CO2 par les différentes industries. Ce […]

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Towards Sustainable Nowcasting: Exploring Lightweight Models for Local Precipitation Forecasting

This project focuses on investigating more efficient and simplified approaches for very short-term precipitation forecasting, known as nowcasting. The goal is to evaluate and adapt lightweight machine learning models that can deliver accurate predictions using fewer computational resources. By reviewing existing models, testing their performance, and exploring ways to simplify their architecture without losing accuracy, […]

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Evaluating the Impacts of Climate Change and Seawater Intrusion on Arsenic Mobilization in Coastal Aquifers

Many rural communities in the maritime Provinces rely on groundwater for drinking water supply. There is concern that the groundwater in these areas may become contaminated with naturally occurring arsenic as the climate changes. Climate change effects including rising sea levels, longer summer droughts, and more intense storms may alter the geochemical conditions in the […]

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Modélisation de la recharge et de la vulnérabilité des eaux souterraines sous changement climatique à l’aide de l’intelligence artificielle

Ce projet répond à l’enjeu mondial urgent de la durabilité des eaux souterraines face aux changements climatiques, en développant un cadre de modélisation robuste, alimenté par l’intelligence artificielle, pour évaluer et comparer la recharge et la vulnérabilité des nappes phréatiques dans deux régions aux climats contrastés : la plaine semi-aride de Berrechid au Maroc et […]

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Homo/Hetero Hybrid Dyadic Systems for Artificial Photosynthesis

Climate change is one of the main concerns of our society and is closely linked to the large consumption of fossil fuels and their associated carbon emissions. An appealing alternative is the production of hydrogen from water, powered by sunlight. Our project aims to develop a first family of efficient hybrid dyadic catalysts for this […]

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ESSA Technologies Ltd

ESSA Technologies Ltd. (ESSA) is a Canadian environmental consulting company focused on supporting sustainable ecosystems and communities through science and analytical tools. With offices in Vancouver and Ottawa, ESSA collaborates with clients to address environmental challenges through data-driven, evidence-based decision-making processes. The innovation challenge facing ESSA is the need for more efficient internal processes and […]

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Leveraging AI and IoT to predict heatwaves in Canada: A climate health initiative

This project uses AI and smart thermostats to predict heatwaves in Canada, helping protect public health. By analyzing indoor and outdoor temperature data, we aim to improve heatwave forecasting and understand how extreme heat affects indoor spaces. Using machine learning, we develop models to predict future indoor temperatures, supporting better planning and response strategies. The […]

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Singularity formation for the hydrostatic Euler Equations

This proposal aims to integrate mathematical analysis with numerical simulations using Physics-Informed Neural Network (PINN) schemes to investigate the primitive equations, a fundamental model for atmospheric and geophysical flows. The primary focus is on achieving a precise characterization of singularity formation in these models.

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Integrating High-Resolution UAV Data and Machine Learning for Monitoring and Analyzing Soil Erosion in an Agricultural Landscapes

This project aims to improve the monitoring and management of soil erosion in agricultural landscapes using advanced technologies like combinations of optical and LiDAR data from remotely piloted aircraft with machine learning. By creating detailed, high-resolution models of soil erosion and deposition, the project will help quantify erosion processes more efficiently than traditional methods. The […]

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Biocarbon from agricultural waste for energy storage

The proposed research focuses on the development of biocarbon materials from waste spent clay and soapstocks from vegetable oil processing. The biocarbon will be used as the filler in developing rubber composite material as a potential substitution for carbon black produced from petroleum sources. The intern will work with the team of graduate students and […]

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Production et caractérisation des biochars issus des résidus agricoles et forestiers en Côte d’Ivoire et au Canada

La Côte d’Ivoire et le Canada sont des pays agricoles et forestiers. Les résidus agricoles et forestiers sont générés sur toutes leurs chaines de production et de transformation. La gestion de ces résidus constitue en enjeu environnemental et économique majeur dans les deux pays. Dans ce contexte, ce projet vise à valoriser les résidus agricoles […]

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