A Fair and Efficient Transactive Energy Trading Framework for Secured Blockchain-based Smart Grid

Decentralized P2P energy trading using blockchain technology has been the top research and development subject around the globe during past years, especially in the presence of large-scale integrated RESs. The blockchain-based applications could facilitate the energy transition and paradigm shift in energy and pave the way for reaching future net-zero smart energy systems. The main […]

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Les partenariats publics privés en sécurité au Québec : un état de la situation

Ce projet a pour objectif de dresser un panorama des partenariats public privé en sécurité (PPPS) au Québec. Alors que la gouvernance partenariale en sécurité se profile comme un moyen de plus en plus privilégié pour produire, distribuer et contrôler la sécurité dans nos sociétés contemporaines, peu d’études empiriques ont cherché à en évaluer le […]

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Développer un modèle d’apprentissage par renforcement permettant à un robot de déterminer le positionnement de son préhenseur pour saisir un objet inconnu selon sa forme et diverses autres spécifications.

Les objectifs spécifiques du stage sont d’utiliser une version numérique de la pince du robot, des objets à saisir et de leur environnement dans un simulateur et de développer un modèle d’intelligence artificielle permettant de déterminer le positionnement et la manière d’agripper les objets. Le projet proposé par le stagiaire vise à développer de tels […]

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Bridging the Gap – Health and Safety Engineering Student Teaching Modules – Stage 2

This project is an undertaking in coordination with Minerva Canada, some of its industry partners and seven Canadian universities which aims to address a gap between industry and the graduates of engineering programs in terms of attitudes, knowledge and applied skills pertaining to health & safety in engineering practice. Upon completion, the project’s end product […]

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Generator-Enhanced Computational Chemistry and Optimization (GECCO)

This project aims to use generative AI models to improve challenging tasks in computational chemistry and optimization. More specifically, by combining quantum computing with machine learning, the research will focus on generative AI methods to design molecules for accelerating drug discovery pipelines. Novel quantum subroutines for hybrid quantum-classical models will be designed, developed, implemented and […]

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Using AI to enhance threat intelligence capabilities

The proposed research project aims to revolutionize cybersecurity at Difenda Inc. by integrating artificial intelligence (AI) into their security infrastructure. Traditional methods of analyzing cyber threat intelligence (CTI) are hindered by manual processes, resulting in slow response times and information overload. Through the adoption of AI-driven solutions, the project seeks to automate the accumulation, processing, […]

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