Climate change has emerged as one of the most critical problems of the 21st century, driven by the rise in greenhouse gas emissions. The polymer electrolyte membrane fuel cell (PEMFC) is a device that converts chemical energy into clean electricity with zero emissions. The proposed research aims to utilize machine learning algorithms to predict the […]

This proposed project aims to develop a control model that can counteract gait asymmetries in human walking. Gait asymmetries can arise in two different scenarios. It can be introduced from the environment, such as uneven terrain or strong winds, that would cause the body to need to adjust its motion to stay balanced. It can […]

The proposed project aims to develop a method for three-dimensional reconstruction of manual work using multiple RGB-D cameras and a thermal camera. This innovative approach will enable the digital archiving of intangible cultural heritage, such as traditional craft techniques and dance performances, which are currently predominantly documented in 2D formats. By integrating rich information about […]

Les objectifs de ce projet sont de réaliser des mesures électrocatalytiques de la réaction de réduction de l’oxygène sur des substrats d’électrodes à base de graphène. La réduction de l’oxygène est une réaction fondamentale dans les piles à combustibles et les batteries air-métal. Les catalyseurs de pile à combustible de pointe utilisent des nanoparticules de […]

This project will investigate the feasibility of applying fixed-bed chemical looping as a technology for off-gas cleanup and heat recovery from a conventional steelmaking process. Investigation will consist of thermodynamic studies and material selection, numerical investigation of system dynamics using a specialized process model, and experimental investigation for a bench-scale proof of concept. Experimental results […]

The intern will travel to the University of Jyväskylä’s Department of Chemistry, where they will be hosted in the group of Prof. Heikki M. Tuononen. The principal investigator host is a computational chemist of international recognition, University of Calgary alumnus, and longtime collaborator of Prof. Roland Roesler, the host in University of Calgary’ Department of […]

This research will explore ways the craft sector in Unama’ki: Cape Breton can adapt to become more sustainable. That exploration will inform the development of visually engaging resources and reports that will be shared broadly with artists, craftspeople, and others in the craft and culture sector.?This will include a toolkit, map of resources for craftspeople, […]

L’objectif du projet est de discuter et d’identifier le modèle d’affaires le plus adapté à Nova Musique ainsi qu’en identifier toutes les composantes. Ce projet va comporter les étapes suivantes : – Revue de littérature et études bibliographiques sur les types de modèle d’affaires, sur la situation des OBNL numériques au Québec ainsi que sur […]

The proposed project explores the flow dynamics of Bingham fluids through channels with superhydrophobic (SH) grooved walls. The focus is on understanding how these special surfaces, which trap air in grooves, affect the flow behavior of fluids that exhibit both solid-like and fluid-like properties under different stress levels. The research aims to develop a semi-analytical […]

Dengue virus (DENV) is a virus that is spread by some mosquitoes in Latin America and the Caribbean. In recent years, DENV has spread rapidly, particularly in Brazil. The climate greatly influences the biology of the mosquito and the virus. On top of that, there are social factors that allow DENV to spread including living […]

ApplyBoard is a Canadian company that offers an artificial intelligence-enabled recruitment platform to help international students apply for post-secondary studies abroad. Embarking on a collaborative venture with York University, this research project aims to improve the application processing framework at ApplyBoard through the integration of advanced AI technologies. By leveraging machine learning algorithms, Optical Character […]

Spin control is of great importance for characterization of optical emitters in a quantum system. Colour centers are fluorescence defects in a crystal, which can act as single photon emitters for quantum optics. As colour centres can operate at room temperature in an ambient environment, they hold great promise for enabling future small footprint quantum […]