Les chantiers de construction au Québec font face à de nombreux défis : retards, dépassements de coûts et difficultés de communication entre les différents intervenants. Pour y remédier, une approche appelée « Lean Construction » existe déjà ailleurs dans le monde. Elle vise à éliminer les pertes de temps et de ressources tout en améliorant […]

Power-lines and electric appliances are the main sources of daily human exposure to power-frequency magnetic fields (MF, 60 Hz in North America). In order to protect the public and workers from potential adverse effects, international agencies publish MF exposure guidelines based on the “best estimate” available regarding the levels producing an acute biological effects in […]

During the 4-month internship, postdoctoral fellow Ruby Liu will (1) fabricate fibrous filter plugs from the amine-functionalized chitosan and cellulose materials; (2) characterize their surface charge and adsorption performance toward model anionic surfactants; and (3) perform filtration experiments at Merinov’s facility. The outcomes will provide proof-of-concept for integrating bio-based, renewable nanomaterials into industrial water-treatment systems. […]

Quantum sensing exploits quantum mechanical effects to achieve unparalleled precision in measuring magnetic and electric fields, temperature, and time, enabling transformative applications across healthcare, environmental monitoring, aerospace, secure communications, and next-generation navigation systems. As quantum computing and communication technologies accelerate globally, the development of robust, scalable, and highly sensitive quantum sensors has become a critical […]

Applied Recognition Corp. (ARC), a Canadian software company based in Oakville, Ontario, develops facial recognition technology solutions designed to be both accurate and practical, enabling organizations to adopt biometric systems in a simple and cost-effective manner.ARC’s machine learning models depend on high-quality human facial image datasets to ensure reliable performance and accuracy in image detection […]

CortexCare is a health-technology company focused on developing non-invasive and consumer-ready solutions for sleep improvement and neurological wellness. Their core activities include designing wearable and textile-integrated devices that combine sensors, stimulations, and analytics to support individuals with sleep disorders such as insomnia. The company has previously developed a pillowcase capable of generating low-intensity electromagnetic fields […]

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 community-based research project will partner with Toronto Environmental Alliance (TEA) to identify how place-based community hubs – such as community centres, neighbourhood organizations, and frontline service non-profits – can catalyze equitable climate action. This project will help us understand how to address climate change equitably. Research has shown that climate action to date has […]

Ryzome Environmental Corporation is transforming the way farms and greenhouses feed their crops. By recovering powerful nutrients and minerals from local waste streams, Ryzome is building a new generation of regenerative, greenhouse-ready fertilizers that help growers boost yields, strengthen plant health, and improve nutrient density. These products support healthier soils, reduce pest and disease pressure, […]

Xello is a leading college and career readiness platform designed to engage K-12 students in career exploration, academic planning, and skills development. It provides educators with data-driven insights to support student success, helping school districts make informed decisions. Xello is looking to enhance its survey platform to improve their means of data collection, enhance the […]

E-Smart commercialise une solution innovante qui offre aux gestionnaires un moyen automatisé d’assurer la conformité aux limites de vitesse, sans qu’ils aient à surveiller les camionneurs. Une interface placée à la commande d’accélération contrôle activement la vitesse du camion en temps réel, en se basant sur la cartographie des limites de vitesse. Toutefois, lorsque la […]

This project aims to develop new machine learning models that can help wind energy companies design wind farms more efficiently and at lower cost. Today, planning a wind farm requires running large, high-resolution computer simulations to understand how wind flows around turbines and how much power a proposed layout can produce. These simulations are accurate […]