Détection, prévision et interprétabilité des sécheresses extrêmes à l’aide de l’intelligence artificielle

Les sécheresses extrêmes constituent un enjeu majeur dans un contexte de réchauffement climatique, affectant l’agriculture, les ressources en eau, la production énergétique et les écosystèmes. Leur caractère multi-échelle, dépendant des interactions entre précipitations, évapotranspiration, humidité du sol et stockage souterrain, rend leur détection et leur prévision complexes. Les indices traditionnels (SPI, SPEI, SSI) apportent une […]

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L2M – Electrochemical cellulose nanocrystal production

Our process takes bulk cellulose and upgrades it to cellulose nanocrystals — a valuable nanomaterial. This novel method now holds a provisional patent, but we need Lab2Market (L2M) to help us validate our process and implement it in industry. L2M will aid in identifying our potential customers, making sure our tech links well with existing […]

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rom Quebec Waters to Innovation: Bacterial Adhesins as a Source of Antifouling Solutions

This project studies how aquatic bacteria isolated from Quebec’s aquatic environments attach to underwater surfaces and form biofilms, the first step in biofouling. Biofouling is a major challenge for the maritime industry, as it increases energy use, damages equipment, and helps invasive species spread. Among the bacteria responsible for the first stages of biofouling, species […]

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Impacts of climate change on maple syrup production and mitigation measures

The maple syrup industry represents an important economic activity in Quebec. Sap production and annual syrup yield highly rely on climatic conditions, especially temperature, and harvesting methods. Due to climate change and warming, the sugaring season is expected to occur and stop earlier in spring. Consequently, maple syrup production could decline significantly, raising concerns among […]

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‘Pre-release’ baselines for compounds of concern in lakes of the Peace-Athabasca Delta before treated oil sands process water is discharged to the Athabasca River.

Federal and provincial governments are expected to approve release of treated oil sands process water (OSPW) into the Athabasca River to mitigate overabundance of mine wastewater and enable mine reclamation and closure. Concern is growing about the potential for downstream impacts on aquatic ecosystems at the Peace-Athabasca Delta. This project will generate critical knowledge to […]

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Feasibility Assessment of Treatment Wetlands for Northern Riverbank Stabilization: An Exploratory Hydrodynamic Study of the Nechako River

The Nechako River in Prince George, British Columbia, suffers from eroding riverbanks and contaminated sediments left behind by past industrial activities. This project will investigate whether treatment wetlands, which are engineered ecosystems that use plants and natural processes to clean water and stabilize soil, could help address both problems at once. The student will use […]

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L2M – FishNet Map: A Satellite-Based Fishing Hotspot Mapping Service

The FishNet Map project aims to create a practical, user-friendly mapping service that helps identify fishing hotspots in near real-time using satellite observations and environmental data. By integrating multi-source satellite observation with real-time weather and sea-state forecasts, the platform pinpoints optimal fishing zones, predicts hotspot shifts, and flags risks such as storms or restricted areas. […]

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L2M – Innovative Strategy for Reducing Energy Consumption and Pollutant Emissions in Liquid Fuel Carrier Ships

This project will develop two integrated boil-off gas recovery and re-liquefaction systems for liquefied natural gas and liquefied hydrogen carriers that harness ship exhaust heat and convert it into usable energy through the Kalina power cycle and water-ammonia absorption refrigeration unit. Unlike conventional re-liquefaction systems that require burning additional fuel to produce cooling, the proposed […]

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L2M-High-Performance MOFs for Direct Ocean Carbon Capture

The proposed project focuses on developing and testing metal–organic frameworks (MOFs) for capturing CO2 from both the air and seawater. The intern will identify promising MOF materials, conduct laboratory experiments to measure CO2 uptake, and use computational and machine learning tools to predict performance and optimize designs. The project also includes evaluating the costs, energy […]

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L2M-Conversion of Seafood waste to nanoparticles for applications in Agriculture, Medicine, Waste Water Treatment and Renewable Energy

This project aims to convert seafood waste such as shells, bones, and seaweed trimmings into valuable nanoparticles using nanotechnology. Instead of discarding these materials, they will be transformed into eco-friendly products for use in agriculture, medicine, wastewater treatment, and renewable energy. The nanoparticles will help improve soil health, enhance crop nutrition, clean polluted water, and […]

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Multi-fidelity approach for the probabilistic assessment of dams

The proposed project seeks to evaluate the stability of concrete hydraulic structures using a progressive method that balances precision and computational expenses. By examining various simplification assumptions and analyzing different loading conditions, while incorporating machine learning techniques to merge data with different levels of accuracy, the project aims to enhance the evaluation of risks associated […]

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