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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L’appréciation juridique du risque relatif aux cyberattaques dans les activités critiques

Dans notre monde automatisé et interconnecté, la cybermenace connaît une hausse spectaculaire, avec des attaques informatiques de plus en plus fréquentes et sophistiquées, y compris sur des infrastructures critiques. Ce projet analyse les risques causés par ces cyberattaques sur des secteurs d’activités indispensables à la sécurité et au bon fonctionnement de la société, tels que […]

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L2M – InclusivAI: AI-powered Instructional Design Agent

This project focuses on validating InclusivAI, an AI-powered instructional design agent that helps faculty redesign courses for greater inclusivity and accessibility. Grounded in established frameworks for inclusive education and accessibility, InclusivAI applies AI to support evidence-informed course design and faculty development. Through the Mitacs Lab2Market Validate program, the project will analyze insights from faculty and […]

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L2M – Transforming Pediatric Neurodevelopmental Interventions: A Novel Model for Enhancing Social Skills and Reducing Challenging Behaviors in Children with ASD and ADHD

The Interactive Multisensory Physical Movement (IMPM) model addresses a critical and growing gap in pediatric neurodevelopmental care. It offers a rigorously designed, non-pharmacological therapeutic approach for autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD). Current treatments often focus on short-term symptom management, have adverse side effects, and produce limited long-lasting improvements in social […]

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Harvesting hot carriers in heterojunctions of p-type semiconductors and plasmonic nanoparticles for green hydrogen production and utilization

This project aims to pursue alternate methods to generate green hydrogen that are less energy-intensive than existing approaches. Leveraging the fact that semiconductors generate electron-hole pairs when illuminated with light and this electron reduces proton (H+) from water to form hydrogen (H2), our goal is to use novel p-type semiconductors to produce green hydrogen, that […]

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Empirical evaluation of theorized drivers shaping ecosystem stability and functioning

Ecosystems provide services such as fisheries, pollination, and carbon storage that support people and economies around the world. The stability and functioning of ecosystems is shaped by several key factors, such as biodiversity, species interactions, response diversity and environmental conditions, as identified through ecological theory. However, few studies have tested these ideas in real-world ecosystems, […]

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