This project strives to identify rare and severe contaminants found in residential curbside recycling. Using computer vision techniques and machine learning, cameras analyze contaminants as they are tipped into recycling trucks. Some of these contaminants are rare, however they can pose severe risks to operators and the general public. As these contaminants are not common, […]

There is a growing need for high voltage isolated DC/DC converters with a low form factor, for application in the electric automotive, renewable energy, and consumer electronic sectors. In this project, we propose to use the know-how of Université de Sherbrooke micro/nano fabrication of semiconductor devices with the unique optocouplers technology commercialised by Broadcom, to […]

The long-term research goal of the research group is to contribute to the fundamental state-of-knowledge on gas hydrates by improving methodologies and techniques for characterization, assessment, and development of natural gas hydrate accumulations. The short-term goal and main objective of the present proposal is to characterize and assess submarine geohazards evolving from gas hydrate instability. […]

Fatigue damage and corrosion are of significant concern in bridge structures and can have grave consequences on public safety. In addition, bridge structures, such as the Jacques Cartier Bridge, that were built in the early 20th century can be more susceptible to damage as the bridge structures were not designed for current traffic load and […]

Abnormal fetal growth is a leading cause of perinatal mortality and morbidity in both developed and developing countries. Fetal growth is primarily assessed by ultrasound due to its low risk, low cost, and wide availability. These studies are cognitively intense for a reporting radiologist and errors can have significant long-term implications. In this study, we […]

Les blessures ou lésions au travail constituent la deuxième cause la plus importante d’invalidité au monde. Afin d’aider les travailleurs dans leurs tâches et réduire l’exposition aux blessures, l’utilisation d’exosquelettes est une avenue prometteuse. Il existe déjà plusieurs exosquelettes d’assistance pour la production automobile et les industries manufacturières, mais ceux-ci ne sont pas adaptés aux […]

G-res est un outil utilisé par plusieurs organisations internationales pour estimer les émissions de gaz à effet de serre (GES) produites par les réservoirs hydroélectriques. Malheureusement, il ne tient pas compte la couverture de glace, qui a un effet barrière sur ces émissions plusieurs mois par année en milieu nordique. Le présent projet vise à […]

We have developed a software tool that could be used as stand-alone software, or could be implemented in a vascular diagnostic suite (for example within the post-processing software that accompanies most CT and MR scanners). The tool would allow surgeons and radiologists to better evaluate the current state of the aorta under examination and the […]

The generation and supply of energy is the largest anthropogenic source of CO2 and thus contributes significantly to climate change and the associated global consequences. As a result, a reduction of CO2 emissions in energy generation and distribution is an unavoidable key issue that must be addressed. In this research project, the main focus is […]

AJ Min Inc. is developing a novel technology to recover gold from tailings material. The technology requires little energy, little to no reagents, and little to no additional water. Past testwork has indicated that this technology can recover significant amounts of gold from some tailings material, and that the recovered gold can be upgraded. This […]

The COVID-19 pandemic has highlighted the need to combat infectious diseases and reduce their spread around the world. In particular, bacteria and viruses can survive on many common fabrics for days or even weeks, from which they can be transmitted to people or other surfaces. The proposed research project aims to develop a coating for […]

The project is part of a PhD Thesis titled “Overcoming the Reality Gap: Imitation and Reinforcement Learning Algorithms for Bipedal Robotic Locomotion Problems” which aims to study the use of imitation and reinforcement learning algorithms to allow humanoid robots to learn how to walk in an efficient way. In particular, the project to be developed […]