Comprendre la structure des molécules est essentiel en biologie, notamment pour la recherche en santé et la conception de médicaments. Les chercheurs utilisent des outils de visualisation en trois dimensions pour analyser l’organisation des protéines, mais l’augmentation rapide des données rend ces outils de plus en plus difficiles à utiliser de manière interactive. Ce projet […]

This project brings together a multi-institutional collaboration among the University of Toronto (Canada), the Technical University of Munich (Germany), and the Université de Paris Cité (France) to investigate the role of reactive hydrogenation intermediates in the catalytic hydrodeoxygenation of lignin-derived phenolic compounds. Understanding these intermediates is critical for advancing sustainable catalytic pathways for biomass valorization. […]

This project will develop a new framework to reconstruct missing streamflow data using advanced machine learning techniques. Reliable streamflow records are essential for flood forecasting, drought monitoring, and water resource planning, but many stations have missing or incomplete data. The proposed approach will combine traditional statistical methods with modern single-learner and ensemble machine learning models […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]