La définition d’un niveau de service réalisable pour les systèmes d’information contemporains est une activité complexe. L’utilisation d’architectures logicielles granulaires, comme celle de microservices, demande une analyse locale et globale des capacités de chaque composante d’un système informatique. L’analyse manuelle des profils opérationnels de ces composantes par un expert humain rencontre des limitations cognitives. En […]

Ce projet vise à comprendre comment les influenceurs politiques contribuent à normaliser et diffuser des idées d’extrême droite dans l’espace public numérique. En étudiant le cas de Charlie Kirk durant l’élection américaine de 2024, la recherche analysera ses publications sur TikTok et Instagram pour identifier comment il sélectionne les enjeux, les encadre et crée un […]

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 diabète de type 2 est une maladie chronique en forte augmentation qui touche des millions de personnes et représente un défi majeur pour les systèmes de santé. Il résulte de l’interaction de plusieurs facteurs, dont la génétique, l’état de santé, le mode de vie et l’environnement. Une détection tardive peut entraîner des complications graves, […]

InsurEasy is a multilingual AI insurance agent that provides Canadians with transparent, commission-free coverage recommendations, making insurance more affordable and easier to understand for everyone.

The project will examine how Estonia incorporates civilian experts and volunteers into its national cyber defence, and what ethical, legal, and governance challenges arise from this growing role. By reviewing existing research, mapping Estonia’s cyber-volunteer ecosystem, and speaking with experts, the project will identify how democracies can safely and responsibly work with civilian cyber operators. […]

This project address the so-called Quantum Marginal Problem from a mathematical, physics and computational perspective. It develops the mathematical theory of optimal transport adapt to quantum states in order to make fundamental advances in physical aspects and computational algorithms solving the quantum marginal problem.

Ce projet de recherche a pour objectif d’analyser l’évolution de l’architecture fonctionnelle des logiciels au cours de leur maintenance, une phase souvent sujette à des modifications qui peuvent altérer la qualité et la cohérence du système. En étudiant ces transformations, le projet vise à concevoir des approches de réusinage intelligent capables de prévenir la dégradation […]

I am developing and commercializing a cybersecurity and enterprise management platform through Shortlist Enterprises Canada, a Nova Scotia–based technology company that integrates information security, data management, and business process automation into one scalable solution. The platform is designed to help small and medium-sized organizations operate more securely and efficiently while enabling compliance with ISO 27001 […]

The study of complex systems using networks has become a central theme across disciplines, from social sciences and economics to biology and information systems. Graph theory, which models entities as nodes and their pairwise relations as edges, has provided a powerful framework for analyzing such systems. Graph-based methods have enabled advances in tasks such as […]

Ocean technology companies and research organizations rely on autonomous sensors, buoys, and communication nodes to monitor marine environments and support offshore operations. While these devices provide essential data, their dependence on batteries creates high servicing costs, logistical challenges, and limited deployment lifetimes in harsh marine conditions. Overcoming these limitations is critical for enabling sustainable, long-term […]

This project investigates existing and potentially new approaches to analyze functional brain structures in individuals with post-traumatic stress disorder (PTSD), using advanced neuroimaging such as fMRI, and machine learning. The goal is to identifying patterns built on dependent features within the images representing the connectivity matrices of brain regions. The project will investigate whether causal […]