Légitimité et acceptabilité des initiatives plurilatérales à l’Organisation mondiale du commerce

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 […]

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Approche hybride hazard-prédiction des chutes de performances des réseaux de pompage

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 […]

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Wintersport Female Athlete Health

The main objective of this research project is to investigate the prevalence and impact of menstrual cycle-related symptoms and low energy availability-related health issues among competitive female athletes, and to examine how these factors impact training, competition, and the use of pain medications. This project contributes to a larger research initiative led by the host […]

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International Validation of a Cognitive Screening Tool for Pilot Risk of Accidents in Flight

General Aviation (GA) contributes billions in GDP, and supports hundreds of thousands of jobs in Canada and the United Kingdom (UK). Sustaining the industry requires experienced pilots flying safely for as long as possible. To preserve pilot engagement in GA, Carleton University’s Advanced Cognitive Engineering Laboratory has developed the CANFLY, a cognitive health screening tool […]

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Neuromodulation spinale non invasive en boucle fermée pour la réadaptation de la locomotion

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 […]

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Validation of numerical methods for luminescent coupling in novel semiconductor technologies and material systems

This project, “Validation of numerical methods for luminescent coupling in novel semiconductor technologies and material systems,” is a partnership between Canadian and German researchers at the University of Ottawa, the University of Freiburg, and the affiliated Fraunhofer Institute for Solar Energy. It aims to produce a program for calculating luminescent coupling within semiconducting devices such […]

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Phylogenetic homogenization or differentiation in global urban non-native floras: decoupling environmental, spatial, and connectivity drivers

This project will investigate whether urban plant communities composed of non-native species around the world are becoming more similar to each other or remaining distinct due to environmental, spatial, and connectivity constraints. Using the Global Urban Biological Invasions Compendium (GUBIC), the study will compare plant assemblages across cities to understand how climate, urban characteristics, and […]

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Optical readout of superconducting qubits using nonreciprocal light propagation

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 […]

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Neuro-Symbolic AI for Causal Reasoning with Large Language Models for Energy Storage Systems

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 […]

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Machine Learning-based Intrusion Detection in IoT Systems

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 […]

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