This project develops a data-driven method to identify the internal dynamics of grid-forming (GFM) and grid-following (GFL) converters in renewable-rich power systems using only output-side PMU measurements. Small, continuous perturbations (e.g., 0.01 p.u. in active/reactive power setpoints) are injected during normal operation to safely excite the system, and SINDy is applied to the recorded voltage, […]

Carbon dioxide (CO2) in air is commonly captured using alkaline electrolytes such as potassium hydroxide (KOH), which react with CO2 to form potassium bicarbonate (KHCO3). To convert the captured CO2 into useful chemical feedstocks or fuels, the absorbed solution is typically heated to regenerate pure CO2, which is then converted through chemical or electrochemical processes […]

En raison de profondes divergences d’intérêts entre ses 166 membres et d’un système institutionnel peu flexible reposant sur le consensus, l’Organisation mondiale du commerce n’a pas su apporter de réponses concrètes aux nouveaux enjeux de la mondialisation économique. Face à cette impasse, de nombreux pays ont choisi de signer des accords plurilatéraux, conclus entre un […]

Les réseaux de pompage sont essentiels pour la distribution d’eau, mais ils subissent des problèmes comme cavitation, fuites et obstructions, entraînant des coûts élevés et une baisse d’efficacité. La cavitation, causée par la formation et l’implosion de bulles de vapeur, endommage les pompes et réduit leur rendement. Les méthodes traditionnelles de détection, basées sur des […]

Les personnes amputées du membre inférieur (PAMI) peuvent participer à des activités physiques soutenues comme la course grâce à l’utilisation de prothèses spécifiques de course (PSC). Ces prothèses leur permettent donc de remplacer les fonctions de support et de propulsion auparavant assurées par les os et les muscles des jambes afin de courir de façon […]

Ce projet de recherche vise à développer et tester une méthode de stimulation électrique non invasive de la moelle épinière afin d’améliorer la marche chez des personnes présentant des troubles moteurs d’origine neurologique, comme un accident vasculaire cérébral, une lésion médullaire ou une paralysie cérébrale. Contrairement aux approches classiques, la stimulation sera ajustée automatiquement et […]

Video game development involves complex debugging and quality assurance processes that require teams to analyze large amounts of technical information under tight deadlines. Developers and testers often rely on multiple disconnected tools, making it difficult to quickly identify problems, prioritize fixes, and make informed decisions. This can increase cognitive workload, slow down production, and affect […]

This project will help Blü Creative Digital Technologies strengthen and validate the foundation of its secure, closed-loop AI platform used by governments and regulated organizations to manage policies, procurement documents, and institutional knowledge. The internship will focus on organizing large collections of internal documents into a trusted, searchable system that produces accurate, traceable, and permission-based […]

The Conseil des métiers d’art du Québec (CMAQ) is developing the Quartier des métiers d’art (QMA), a new cultural and economic hub that will bring together artisans, creators, and professionals working in heritage, design, and the built environment. Located in Montréal’s Bridge–Bonaventure sector, the project seeks to revitalize a historic industrial area by transforming it […]

Reading out quantum states is a key bottleneck for scaling superconducting-circuit quantum computers. Current schemes require many high-bandwidth coaxial cables to send and receive microwave readout pulses, leading to prohibitive thermal and physical overheads: a processor with about one hundred qubits would need several hundred readout lines. Optical readout via electro-optic transduction at the processor […]

This research project aims to advance the development of reliable, interpretable, and causally grounded Artificial Intelligence (AI) methods by integrating neuro-symbolic reasoning into Large Language Models (LLMs), with a specific application to energy storage systems such as lithium-ion battery systems. While modern LLMs demonstrate impressive linguistic capabilities, they remain limited in their ability to reason […]

IoT device security has become a major concern as these resource-constrained devices are increasingly deployed at scale, limiting the feasibility of advanced onboard security mechanisms. This challenge is particularly critical for Mobile Network Operators (MNOs), who must protect their infrastructure and customers from faulty or malicious IoT devices. To address this, MNOs rely on IoT […]