Reducing greenhouse gas emissions, particularly carbon dioxide, is a major scientific concern to tackle climate change. One promising method is to convert CO2 into fuels via electrochemical CO2 reduction (ECR). Nonetheless, several challenges remain before this technology can be scaled up and commercialized, including achieving a high selectivity, current density (i.e., reaction rate), and long-term […]

This project aims to apply machine learning in the context of potato farming. By analyzing many previous spectrometer scans of potato plant leaves, models will be developed that can estimate the amount of nutrients in a potato plant based on a single scan. The models produced by this project will help offer a more scalable […]

Probiotics could help prevent or treat metabolic-related conditions such as dyslipidemia or Type 2 Diabetes. Combination of probiotics with prebiotic fibers could potentiate the positive effect of these treatments. Our hypothesis is that probiotic strains, coupled with brown algae prebiotic fibers, may hold potential for modulating lipid metabolism, which might represent an interesting avenue for […]

Rising river temperatures, partly driven by land-use and climate warming, threaten the future of Fraser River salmon. It is vital that fisheries managers acquire tools that will aid their understanding of how rising river temperatures will impact salmon in the Fraser River. With my industry partner, I will build a novel mathematical temperature model for […]

Companies in the energy sector are increasingly considering the use of liquid metals in their operations (e.g. for cooling). This presents new challenges related to the inspection and monitoring of these infrastructures. Indeed, these industries often operate in very harsh environments (e.g. ionizing radiation) and under very high pressure and temperature conditions. Thus, the ultrasonic […]

Traditional surveying procedures are labor and cost intensive. Mapping features like manholes require traffic disturbance, add risk to the field crew personal and the community members. The proposed project utilize a newly developed unique LiDAR-based mapping system. The developed 3D mapping system has a substantial cost reduction compared to the commercially available, which also tend […]

Acoustic comfort in all types of buildings is essential to our daily life and work. Mass timber buildings provide us the solution to construct green buildings with much less carbon footprints compared with concrete and steel buildings. This project will investigate the sound insulation performance of an innovative mass timber floor system through experimental testing. […]

The objective of this project is to explore the uses of Augmented Reality (AR), a technology that superimposes computer-generated animations, on a mobile user’s view of the real world, in the context of children’s gaming applications. These applications will allow children to experience a game as being directly tied to reality. Specifically, using for example […]

The proposed consultancy services are going to conduct research related to the introduction of Automated Speed Enforcement (ASE) tools in a low-income African country (based on the Rwandan case study). Quantifying the effect of installing enforcement cameras on the number of damages, injuries, fatality collisions, and traffic offenses like speeding, crossing red lights, and talking […]

Le présent projet appartient au domaine de la représentation des connaissances et constitue un premier pas vers le développement d’outils informatiques en support au développement de dossiers de sécurité et d’audits de conformité reliés à la sécurité des TI. Il porte plus particulièrement sur la représentation formelle d’interprétations de requis de conformité reliés à la […]

This project proposal is to create an AI-based musical pitch and chord detection system suitable for deployment on a hardware device. Most of the research in this area is conducted on computer-based systems with large amounts of memory and computational power. Our goal is to develop new state of the art methods for doing this […]

Le projet vise à développer un modèle dynamique paramétrique servant à simuler la circulation routière de façon réaliste. Le rendu final s’apparenterait à une prise de vue aérienne de la circulation routière. Celle simulation pourra etre alimentée en temps réel par des donnees paramétriques (ex. : vitesse, densité, type de véhicule, mouvements) obtenues par l’analyse […]