Dans un cadre éducatif, les procédés industriels sont rarement accessibles pour effectuer tests. Le recours à des outils de simulation de modèles dynamiques de ces procédés est souvent une solution pour permettre l’étude de ces procédés. Le réalisme de ces simulations est étroitement lié à la précision des modèles utilisés. Le présent projet vise à […]

Two-dimensional (2D) semiconductor materials are materials with thickness on the atomic scale that provide unique properties compared to their 3D counterparts. One important property of semiconductors is their band gap, which dictates how the semiconductor material will behave. However, manufacturing and testing 2D semiconductors can be costly and difficult, so the ability to predict the […]

This research project aims to significantly improve the way data are managed in a specific self-driving laboratory in the AUTODIAL group of Prof. Hattrick-Simpers at the University of Toronto, focusing on discovering new materials that are resistant to corrosion. This class of labs, known as Self-driving labs (SDL) or Materials Acceleration Platforms (MAPs), use advanced […]

As autonomous technology evolves, smart vehicles emerge as a pivotal development for transforming public transportation and minimizing transport costs. Key to their broad acceptance is the resolution of safety, stability, and compatibility issues. This project proposes a cutting-edge solution through a High-Definition (HD) map-aided, multi-sensor fusion approach, aiming at precise lane-level positioning and navigation in […]

About 8.8% of people in Canada are 65 years or older, and this number is expected to rise by 6.2% by 2036. As people get older, they become more likely to develop pressure injuries (PI) due to changes in nutrition, mobility, and skin health. In healthcare settings, patients at risk of PIs need to change […]

Access to clean water is essential; however, it is becoming increasingly complex due to climate change uncertainties, which affect small, rural, and marginalized communities worldwide, including Indigenous communities within Canada. These communities rely on often-contaminated surface and rainwater sources, making them exceptionally vulnerable to climate change impacts. Microbial growth and unpleasant odors during water storage […]

Micro- and nanoplastic (MP/NP) pollution is a pressing global issue resulting from the widespread use of plastics. These minute particles, present in everyday products, accumulate in the environment, even being detected in infant feces and blood. Addressing this concern is paramount, with wastewater treatment processes (WWTPs) playing a pivotal role. However, conventional WWTPs encounter challenges […]

The objective of this investigation is to systematically quantify and compare the hydrogen embrittlement susceptibility of austempered (bainitic) steels to that of standard quenched and tempered (martensitic) steels used for manufacturing high strength mechanical fasteners. It has been shown that correctly high strength bainitic steels exhibit measurably superior ductility and toughness as compared to martensitic […]

Companies can realize the cost-saving benefits of having access to large amounts of data provided they have digital tools that allow efficient and accurate extraction of information from the dataset. The goal of this project is to conduct the research required for machine learning algorithms to provide reliable engineering predictions for industrial applications. To achieve […]

The demand for wireless power transmission is growing due to the increasing costs of transporting conventional fuels for satellites, drones, and aerospace systems. A promising solution lies in Thermophotovoltaic (TPV) technology, with an impressive system efficiency of around 50%, converting heat from any high-temperature sources into electric power. TPV systems, which are lightweight and have […]