An improved algorithm for the discrete ordered median problem

The ordered median is an important class of facility location problem that encompasses multiple other relevant location problems as particular cases. Deepening our understanding of this problem, its mathematical properties and proposing novel methodological contributions for its solution lies at the core of this project. We will consider a recent algorithm for this problem developed […]

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Raman Quantification of Cancer Biomarkers for Early Lung Cancer

The intern will help Biomark Technologies to develop an new optical detection method, which is faster, less expensive and requires less expensive infrastructure by using Surface-Enhanced Raman spectroscopy (SERS), which will be suited to large scale market adoption. By the end of project, the intern will develop: 1) a SERS detection platform that is low […]

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Estimation de débits de crues saisonniers dans un contexte de changement climatique à l’aide des modèles d’apprentissage machine dans le Québec méridional

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 […]

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Hydrothermal Deoxygenation of Triglyceride aided by in-situ Hydrogen Production from Glycerol Reforming

Nowadays, many studies are engaged in improving sustainable aviation fuel (SAF) technologies to advance the utilization of cleaner energy sources and aviation fuels. However, as of today, SAF accounts for less than 1% of jet fuel consumption due to production costs associated with feedstocks, catalysts, and renewable hydrogen. Our project focuses on lowering SAF production […]

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Leak Detection with Economics-Driven Convolutional Neural Networks applied to German cities and benchmarking with previous studies

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 […]

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Incorporation of municipal solid wastes for the development of an efficient CO2 utilization polygeneration process

This project deals with designing an efficient polygeneration process that incorporates municipal solid waste (MSW) drying and conversion to syngas process for reducing the load on the hydrogen unit of carbon capture and utilization (CCU) processes. The main benefit of this system is the production of high-pressure steam and high-quality syngas with minimum greenhouse gas […]

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Étude sur le défaut septal ventriculaire – L’impact de la patient-spécificité sur des accidents de la route

Ce projet étudiera l’impact des accidents de route et les mécanismes associés à la communication interventriculaire post-traumatique. Deux théories dominantes ont été décrites: 1) une compression aiguë du cœur entre le sternum et la colonne vertébrale, entraînant une augmentation soudaine de la pression intracardiaque à la fin de la diastole ou de la systole isovolumétrique, […]

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Advanced computing applied to nuclear waste storage and low-carbon construction materials

In a collaborative effort to promote environmental sustainability and clean technology in nuclear waste management, Canadian and French research institutions are joining forces. The project focuses on advancing computational models to better understand bentonite clay, which is essential for safely encasing nuclear waste. The Canadian team contributes advanced computer simulation techniques, while the French team […]

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Development of dual dynamic covalent network materials

Triboelectric nanogenerators (TENGs) are a new type of energy harvesting device converting mechanical stimuli, such as vibration, human motion, wind, and water waves, to electrical signals through the combination of triboelectric effect with electrostatic induction. However, conventionally-designed TENGs have major challenge that includes the failure of their self-charging power and the suppression of their output […]

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Les réseaux thermiques comme stratégie de transition énergétique urbaine et de décarbonation – le potentiel de l’hydrothermie

Dans le cadre de ce stage, nous renseignerons le potentiel porté par l’hydrothermie fluviale comme source d’énergie. Ce potentiel sera étudié en considérant le territoire montréalais comme zone d’étude et dans un contexte de transition énergétique et de lutte au changement climatique. Nous suivrons une approche méthodologique et scientifique et développerons un argumentaire visant à […]

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Numerical modelling of unsaturated frozen soil using OpenGeoSys

The proposed research project addresses the critical issue of the ground responses of frozen soils in cold regions, specifically focusing on the thermo-hydro-mechanical behavior of frozen soils during freeze-thaw actions. During the ground freezing process, the freezing front penetrates progressively downward in soils and frost heave can be generated. Frost heave is a common cause […]

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