This research project will examine the key factors contributing to the financing success of Canadian rare earth producers from both private and public markets, including Initial Public Offerings on Toronto Stock Exchange and Mergers and Acquisitions transactions. The results from the research will be used to provide an analysis tool for Byron Capital Markets investment […]

The proposed project will tackle the following inter-related research topics regarding localization, monitoring, and motion coordination of autonomous indoor service robots: (1) adaptive coverage-planning of arbitrary and uncertain non-convex indoor regions, (2) accurate and robust indoor localization of service robots using vision-based technologies, (3) deep learning based depth estimation and high-precision path-tracking control of service […]

The intern will research and develop an Energy Harvesting Device (EHD) prototype. This device will be used to power a Cargo Security Device (CSD) as well as charge the battery for the CSD. The reason for the battery is that the proposed EHD will not produce energy at all times but the CSD needs to […]

It is critical that on-board power electronic components of electric vehicle inverters operate within optimal temperature ranges. Failure to accomplish this results in overheating, oversizing and degradation of electronic components. Moreover, reduced efficiency and motor drive performance will have significant economical impacts on global automakers. This research will further contribute to developing a new thermal […]

This research focuses on the trade of Canadian wild foods, such as morel mushrooms, wild blueberries and fiddleheads. The major operational challenge in the sector is connecting remote, rural contexts of production with global, urban centres of consumption. A distributor’s competitive advantage rests on constant innovation of the informational, social and pricing techniques that motivate […]

Firefighting water additives are a mixture of chemicals that are mixed with water to more effectively extinguish fires (i.e., residential, industrial, forest fires). The use of these additives is likely to increase in fighting forest fires due to the projected increase in forest fire occurrence and intensity due to climate change. Ingredients of firefighting water […]

Improving the design and operation of open pit mines by better understanding and modeling of spatial variation of rock mass properties, can bring economic benefits to the mining industry. The proposed research project aims to develop an innovative large-scale discrete fracture network (DFN) model that is spatially constrained based on the recorded fracture data from […]

One challenge to industry adoption of products and services based on Machine Learning and Artificial Intelligence is that their inner workings are often not discernable to human operators. When operators can’t reason about theit tools they tend to make poor decisions about how and when to rely on them. This ultimately limkitsthe effectiveness and efficiency […]

Legionnaires is a disease caused by the bacteria Legionella pneumophilia present mostly in aquatic environments. The first outbreak of this disease was recognized in 1976 in Philadelphia and the most recent one in July 2019 in Atlanta. Diagnosis of the disease isn’t early and thus need to be prevented by regular treatment. Treatment of water […]

How do you build trust with an audience expecting a factual, reported story while adding elements of performance to it? This research project explores the potential of the live stage for non-fiction narrative. By experimenting with different models of audience-focused experiences, it aims to answer questions like: How can live journalism rebuild trust between the […]

A decommissioned mine facility in Canada is looking for a new and innovative way to handle mine waste and reclaim the mine site. The potential solution to this problem is the use of microorganisms which are capable of producing calcite, or cement, as part of their natural biological process. These microorganisms will be combined with […]

Reinforcement learning (RL) is the problem of designing an agent that interacts with its environment and adaptively improves its long-term performance. Many complex real-world industrial decision-making problems can be formulated as an RL problem. RL is at the core of artificial intelligence and has the potential of having a huge impact on our economy and […]