Development and Characterization of Zr-Doped Multifunctional High-Entropy Alloy Coatings

This project aims to develop multifunctional high-entropy alloy (HEA) coatings that protect industrial components from multiple types of damage at the same time, including erosion, corrosion, and hydrogen attack. Using laser-directed energy deposition (L-DED), the research will study how adding zirconium to AlCoCr2FeMo0.5Ni –Zrx changes the coating’s microstructure and improves its performance for real industrial […]

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How Generative AI Changes Problem Solving in Software Development

Use of generative artificial intelligence (GenAI) has skyrocketed in software development. Although gains in workers’ productivity have received significant recent attention, little is known regarding the deeper long-term effects of these tools. Researchers from the University of Victoria, Canada and the University of Zurich, Switzerland are conducting an experimental study to evaluate the potential risks […]

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L’origine leibnizienne du principe de la moindre action

Ce projet vise à rechercher dans la dynamique de Leibniz une nouvelle compréhension de la notion d’action de Maupertuis qui pourrait, croit-on, résister aux critiques des commentateurs qui ont suggéré que la quantité d’action est définie par Maupertuis de manière ad hoc et réhabiliter la preuve métaphysique de Maupertuis. J’avance l’hypothèse selon laquelle l’action de […]

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ML-optimization of tensor contraction operations (TCOs) in the PyBEST software package

The main goal of this project is to integrate advanced machine learning techniques into the open-source PyBEST quantum chemistry software package to substantially accelerate quantum chemical calculations through the automated selection of optimal computational strategies. The project specifically targets the AI-driven optimization of tensor contraction operations (TCOs), which constitute the primary computational bottleneck in many […]

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Enabling Computer Supported Collaborative Learning (CSCL) Assistant to Access ChatbotLLM Service for Engaging in the Group Discussion with Students

A web system, Computer Supported Collaborative Learning (CSCL) Assistant that supports teachers to have their students grouped and work on tasks together via discussion, is currently used by a university. At this moment, CSCL Assistant uses chatbot to participate into a group discussion with the help of ChatGPT and Google Gemini. ChatbotLLM (https://chatbot.vipresearch.ca), is IEEE Northern […]

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Récupération des minéraux critiques et stratégiques (MCS) à partir des résidus miniers et du drainage minier de sites abandonnés au Québec

La gestion responsable des rejets solides et liquides représente un enjeu majeur pour l’industrie minière. Ce projet vise à développer des solutions innovantes pour le traitement des eaux minières contaminées, en mettant l’accent sur la récupération des minéraux critiques et stratégiques (MCS) tels que le cuivre et le zinc. Ce projet de recherche s’articule autour: […]

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Measurements using a setup to demonstrate the decoy-state approach.

The internship project, performed in collaboration with a theorist group at the University of Calgary, will demonstrate the decoy-state approach to analyze simple – but non-trivial – circuits with 2-3 inputs and outputs utilizing bulk photonics components. The intern will assist the team with building a setup and perform the measurements needed for the analysis. […]

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Participatory Mapping for Assessing Social Cumulative Effects of Extractive Industries in Rio de Janeiro, Brazil

This project will explore how extractive industries, such as offshore oil and gas, have affected the Maria Joaquina Quilombola community in Rio de Janeiro, Brazil. Using participatory methods, such as community workshops and mapping, the study will document how the community has experienced social cumulative effects. The project seeks to enhance understanding and evaluation of […]

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Integrated Machine Learning Framework for Optimizing Residual Material Selection in Environmental Remediation

This project will develop an easy-to-understand and transparent machine learning system that helps identify the best residual materials to clean up environmental contamination, especially in areas affected by mining. Materials such as biochar, zeolite, dolomite, and wood ash are already known to help remove pollutants like heavy metals, phenolic compounds, acid mine drainage, and gases, […]

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A Comparison of Supply Chain Liability Between Canada and the EU

As an advanced form of Corporate Social Responsibility (CSR), supply chain liability extends companies’ responsibilities along the Global Value Chain (GVC). Thus, top brands (the primary entities in the GVC) can be held accountable for the conduct of their suppliers (secondary contractors). For labour issues, Supply Chain Responsibility has the potential to center and enforce […]

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