Ce projet a pour but de comparer les impacts environnementaux d’une production culturelle au Québec réalisée de façon traditionnelle avec ceux d’une production conçue selon des principes d’écoconception. Au-delà des émissions de gaz à effet de serre, l’étude prendra en compte d’autres effets sur l’environnement, comme la gestion des déchets ou l’utilisation des matériaux. Le […]

This project explores how sustainable concrete alternatives can be adapted for 3D printing in construction. Traditional cement-based concrete is a major source of global carbon emissions. Geopolymer concrete—made from industrial by-products like fly ash—offers a greener alternative, but challenges remain in making it printable at scale. This project will develop and validate a new testing […]

Over the four-month Lab2Market internship, discussions with plant operators, maintenance teams, and technology vendors will determine how the existing AI alarm-diagnosis system should be fine-tuned for real-world deployment. Targeted interviews, and rapid feedback loops will uncover the highest-value use cases, reveal functionality gaps, and establish clear upgrade priorities. These market-discovery insights will provide us with […]

This project aims to develop and validate a low-cost, energy-efficient film made from common or recycled plastics that can passively manage heat without using electricity or fuel. By microstructuring the surface of materials like polyethylene and polymethylpentene (TPX), we create thin, flexible films that can either retain or release heat depending on their arrangement. When […]

U-Pro Soccer is a Canadian sportstech company developing a mobile-first training platform that uses AI and computer vision to help youth athletes practice soccer drills at home using only a smartphone and a training mat. Many young players lack access to structured training, especially outside of team environments, and U-Pro aims to fill this gap […]

The challenge to be addressed in this project is to develop a next generation of machine-learning-guided data validation and annotation tools that take account of differences in human judgment and decision-making processes.

Fires on construction sites can cause serious injuries, deaths, and property loss. One of the best ways to prevent fires is by helping workers recognize fire hazards early, but current safety training is often limited and not very effective. We are developing a virtual reality (VR) training tool that can help construction workers and young […]

This project introduces a novel, commercially promising ocular implant for the treatment of degenerative retinal diseases, initially targeting age-related macular degeneration (AMD) as a leading cause of vision loss. Current treatments for AMD require frequent intravitreal injections due to the rapid clearance of therapeutics from the eye. This frequent need for injections can cause significant […]

Re:Pair Genomics is a Canadian biotechnology startup pioneering the use of advanced artificial intelligence to accelerate gene therapy development. The company specializes in designing compact synthetic promoters, customized DNA sequences that precisely control where and when therapeutic genes are expressed in the body. These promoters are engineered to target specific human or mouse cell types […]

This research would offer a new, policy-oriented comparative analysis of international digital literacy strategies aiming to lessen the digital divide. Unlike much of the existing literature, this research would place the focus on initiatives made to further develop digital literacy, rather than digital infrastructure rollout. This research would build on Chetty’s (2018) findings about the […]

This project will focus on helping to bring the DialySnake, which is a novel medical device, closer to market. The DialySnake is a low-cost, minimally invasive tool designed to unclog blocked peritoneal dialysis (PD) catheters at patients’ bedsides in an average of 5 minutes. Currently, when peritoneal dialysis catheters become blocked, hospitals often rely on […]

Contemporary machine learning has been very successfully applied to processing static images and words in consumer applications, resulting in billions of dollars in recent acquisitions of machine learning companies by Microsoft, Amazon, Facebook, and Google. However, applications to dynamic information (e.g. movies, controlling robotics) has been less well-developed. In this project, will develop and apply […]