Face aux bouleversements climatiques, les forêts du Québec sont appelées à évoluer. L’érable à sucre, emblème de notre patrimoine naturel et culturel, pourrait voir son aire de répartition migrer vers le nord dans les prochaines décennies. Pour accompagner cette transition, il est essentiel de comprendre comment cette espèce interagit avec son environnement, notamment avec les […]

This project explores how disaster researchers are using machine learning (ML) and what that actually changes in disaster research. It starts by collecting a broad set of published studies where ML is used to study disasters and climate risks such as floods, heatwaves, wildfires, and storms. For each study, the project records what kinds of […]

Optimal nutrition is essential for normal growth and development throughout the lifespan. This includes fat-soluble vitamins (FSVs), A, D, E, and K given their key roles in promoting cardiometabolic and immune health. Chronic vitamin deficiencies are modifiable risk factors that contribute to chronic disease. Nutritional metabolomics is an emerging field of epidemiology involving the untargeted […]

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 […]

The proposed project is focused on developing an improved therapeutic protein for the treatment of osteoarthritis (OA). More than 10% of the world population (primarily those over the age of 50) are impacted by OA, an inflammatory joint disease that affects all the joint tissues due to cartilage loss and to date lacks curative treatment. […]

Challenges in today’s Intensive Care Units (ICUs) involve the management of patients’ life critical physiological systems. ICUs must constantly make fast and personalized treatment decisions (e.g. ventilation settings, fluid management, and vasopressors) that require constant monitoring, patient specific response predictions, and real time decision support. This project explores the use of Cellular Discrete Event System […]

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 research project aims to better understand whether listening to music can improve sleep and daytime functioning, such as mood, fatigue, and concentration, in the general population. The project will consist of a systematic review of scientific studies that have examined the effects of music listening on sleep across different age groups and health conditions. […]

Early-life adversity (ELA) is one of the most consistent and robust predictors of poor mental health outcomes across the lifespan. These are developmental periods characterized by high neural plasticity, in which the brain is shaped by experience. Thus, ELA can provoke detrimental, long-lasting changes in the brain and it is critical to understand the mechanisms […]

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 […]