Prédiction de la résistance mécanique des remblais miniers en pâte cimentés à l’aide des approches de l’Intelligence Artificielle (IA)

Le remblai en pâte cimenté (RPC) est le matériau le plus utilisé dans les mines souterraines pour combler les vides créés à la suite de l’extraction du minerai grâce à ses performances mécaniques bien établies. Afin d’assurer une stabilité des terrains lors de l’exploitation minière, il est nécessaire d’étudier les propriétés mécaniques de ce matériau […]

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Clean Ocean Watch (COW) Platform: Advancing Oil Spill Detection and Real-time Monitoring using Sentinel-1 Satellite Imagery

Clean Ocean Watch (COW) Platform is a solution designed to tackle the critical problem of oil spills in our oceans. Oil spills have destructive consequences for marine ecosystems, coastal communities, and economies worldwide. We are going to design a platform that utilizes the power of Sentinel-1 free-of-charge satellite data, which provides high-resolution radar imagery, allowing […]

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Modelling pollutant removal processes for an underground detention chamber system

This project will determine if underground detention systems provide an equivalent level of service for stormwater treatment as stormwater management ponds. This will be achieved through water quality measurements collected from a StormTrap system and through the development of a pollutant-transfer model. The intern will work with both the Toronto Region Conservation Authority and Con […]

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Development of Novel Toxicity Testing Assays for Fishes

It’s estimated that more than half of all fish species in Canada are threatened by anthropogenic pressures, including pollution. Two chemical classes that are ubiquitous in freshwater ecosystems- polycyclic aromatic hydrocarbons (PAHs) and benzotriazole ultraviolet stabilizers (BUVSs) – can cause toxicity to early life-stages of fishes by activating of the aryl hydrocarbon (Ah) receptor protein. […]

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Developing an Advanced Vessel Relocation Tool for Extending Subsea Riser’s Lifetime

Subsea steel catenary risers (SCR) transfer the hydrocarbons from seabed reservoirs to floating vessels for processing, storage, and eventual transportation to shore. These risers are under wave and current loads and have a limited lifetime. There is strong demand from oil and gas companies to safely prolong the operational life of steel catenary risers. “Vessel […]

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Efficient Data Representation for Wildfire Predictions

Wildfires continue to pose severe threats to ecological systems, communities, and economies worldwide. Early and accurate prediction of wildfire occurrences is crucial for effective preparedness and response strategies. This study investigates the application of machine learning methods to predict global wildfire events, utilizing the SeasFire Cubes dataset — a scientific datacube designed explicitly for seasonal […]

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Effet de l’intégration du temps depuis le dernier feu sur les courbes de productivité et le calcul de la possibilité forestière de l’unité d’aménagement 85-51

La possibilité forestière vise à déterminer la quantité de bois exploitable tout en assurant la pérennité des écosystèmes forestiers et de l’industrie forestière. Néanmoins, la méthode actuellement utilisée pour déterminer l’âge des peuplements sous-estime l’âge réel dans l’établissement des courbes d’évolution du volume à l’échelle des peuplements. Cette erreur augmente en fonction de l’âge et […]

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Catalyst-Aided CO2 Capture with Amine-based Solvents

This project seeks to improve the rate of CO2 removal from the exhaust gases of industrial processes in order to help solve the issues of global warming and climate change. Various carbon abatement techniques have been developed and used. The most used technique is called “carbon capture”. These technologies come with their own challenges such […]

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Disentangling complexities and interactions of multiple ecosystem services using functional connectivity at a small landscape scale

This research project aims to create a model to understand how nature benefits humans through services like pollination, food production, water supply, and soil health in the agricultural landscapes of the Canadian prairies. Using advanced technology, the project will map these services and study their complex relationships, as well as potential trade-offs and collaborations. The […]

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Developing an electrochemical sensor using in-situ synthesis of a stand-alone MIP membrane for bacteria detection in water

In this project, a microfluidic sensor will be developed for bacteria detection in water. The microfluidic device enables in-situ synthesis of molecularly imprinted polymer (MIP) membranes with bacteria imprinted cavities. The sensor works based on bounding the target bacteria to the MIP membrane, thereby altering the electrochemical signal which will be measured using in-situ fabricated […]

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