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 […]

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 […]

Le projet de recherche proposé vise à développer un système basé sur l’Intelligence Artificielle multimodale pour analyser à la fois les images morphologiques et les données génétiques de poissons appartenant aux espèces Diaphanus et Heteroclitus. L’objectif est de permettre l’identification automatique des espèces, de déterminer le sexe des individus et d’évaluer le degré d’hybridation afin […]

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: […]

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. […]

This project aims to make power grids smarter and more efficient by using a type of artificial intelligence called Graph Neural Networks along with Deep Reinforcement Learning. Just like a GPS finds the best route for a car, our system will find the optimal paths for electricity to travel, especially from clean but unpredictable sources […]

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 […]

This research project makes use of computer-based models in order to investigate the high temperature behavior of Gallium Nitride (GaN) power transistors. The GaN technology is finding more and more applications in different sectors like energy, transportation, and industrial systems due to the possibility of making power converters smaller and more efficient. The understanding gained […]

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, […]

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 […]

This project will explore how balance-based physical activities such as tai-chi, yoga, dance, and martial arts may help protect memory, thinking, mobility, and overall brain health as people age. Although many studies show that lifestyle habits can support healthy aging, much less is known about how different countries measure brain and cognitive health in older […]

Normal movements are generated via controlled activation of motor units (MUs), which consist of motoneurons and their innervated muscle fibers. To support the wide range of movements humans perform daily, it’s been suggested that MUs are recruited and fire depending on the direction of applied force. The proprioceptive sense of force, which is the ability […]