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 […]

L’estimation des forts débits dans un contexte de changement climatique est une tâche essentielle à bien des égards pour notre société. Elle permet en l’occurrence d’analyser l’impact et les stratégies de mitigation face aux aléas naturels comme les inondations. Différentes approches ont été proposées pour répondre à ce besoin dont la modélisation hydro-climatologique (MHC) et […]

This project aims to employ cutting-edge deep learning models to address the critical issue of water leakage in water distribution networks (WDNs). Leakage in WDNs leads to significant water wastage, infrastructure damage, service disruption, and even contamination. The proposed approach leverages Convolutional Neural Networks (CNNs) trained explicitly for optimizing leak detection. Using synthetic datasets that […]

Les ingénieurs utilisent les précipitations maximales probables (PMP) pour concevoir des infrastructures résistantes aux aléas hydrométéorologiques. La PMP est définie par l’Organisation Mondiale Météorologique (OMM) comme la quantité maximale d’eau pouvant s’accumuler en une période donnée dans une région, indépendamment des tendances climatiques à long terme. Une mauvaise estimation de la PMP peut entraîner des […]

Mining activities generate large quantities of waste rock after valuable metals are extracted. Upon exposure to air and water, a diverse range of metals and metalloids are released and mobilized to the surrounding environment. There is an urgent need to manage the environmental risk posed by mine waste rock piles given the scale of the […]

Future ships will be greener and safer, because they will be self-driving. But testing self-driving ships in the ocean is complicated and dangerous. For that reason, we invented a new way of building smaller models of ships, to safely tests these new technologies. Building ships our way is cheaper and easier than older methods and […]

We are hoping to explore the market potential and customer base for the Antifouling and Anti-corrosive Marine Coating. There is a need for durable antifouling and anti-corrosive coating for marine applications which are made within Canada (doesn’t have supply chain issue), could be easily scale-up in production and industrial application, are economically viable, confirms to […]

Contamination of water and soil with heavy metals, particularly with mercury (Hg) and lead (Pb), is a huge problem of modern society. Rigorous monitoring of levels of Hg and Pb in water and renewable resources including food, natural and naturopathic products and/or cosmetics, is drastically important. Therefore proper methodologies for the express detection and effective […]

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 […]

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. […]

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 […]

This project aims to monitor the movement of the Nevados glacier, a small mountain glacier resting above an old volcano from the central-south of Chile, using satellite radar interferometry (INSAR) to obtain velocity values for the glacier surface over the last decade. This data will be compared to a previous study on crevasse patterns to […]