Economic Evaluation of Renewable Energy Communities

The project will sponsor an intern’s visit to UNL. The intern is a Concordia student co-supervised by her Canadian supervisor (Concordia) and her American supervisor (UNL). The topic is an integrated part of the intern’s PhD study, which synthesizes, analyzes, and evaluates economic incentives (e.g., tax breaks, subsidies) required by sustainable energy transitions of Quebec […]

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A data-driven control framework for constrained nonlinear systems with application to unmanned ground vehicles

The objective of this project is the development of a novel data-driven control framework for nonlinear dynamical systems. The proposed solution will be validated and tested on the autonomous ground vehicles available at Concordia University. To achieve the desired goal, the research intern, with the supervision and help of the host and home supervisor, will […]

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Geomechanical characterization of using basalt fiber-treated clay soils for improving ground resilience against freeze-thaw actions

The degradation of soil under freeze-thaw cycles will pose a major threat to newly constructed infrastructure in cold regions. The soil ground forms an essential part of the built environment, thus actions should be taken to improve the ground’s resilience. We are collaborating with our industry partner SFTec Inc. to propose a sustainable value-added strategy […]

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Computational modelling of advanced electrocatalysts for CO2 electroreduction using DFT and machine learning.

Carbon capture and utilization (CCU), primarily the CO2 electroreduction technology, can convert CO2 into a variety of valuable products, using renewable electricity. However, the path to widespread adoption of the CO2 electroreduction technology in industrial settings is met with several challenges primarily the cost of electricity, efficiency and selectivity of the desired product. One of […]

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Advancing Systems Architecture Development Methods for Aircraft with Hydrogen-based Propulsion

Ensuring the sustainability of air transportation is a priority for the global aerospace community. Disruptive technologies, such as hydrogen-based propulsion, are promising but present significant challenges for the design and operation. One challenge for designing these future aircraft is the large number of potential architectures and the need to consider safety already in the early […]

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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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