The medical cannabis industry in Canada is at the forefront of cannabis research, yet it faces significant challenges due to the plant’s complex chemical composition, including numerous cannabinoids, terpenes, flavonoids, and other bioactive compounds. Currently, cannabis prescriptions often rely on limited clinical data, leading to inconsistent therapeutic outcomes. This project addresses these challenges by developing […]

In many applications, Machine Learning (ML) predictions are used to make downstream decisions. Acting on ML predictions however can change the distribution of features that the ML model relies on for predictions. The implication is that such downstream decisions procedures implicitly expect the ML model to generalize outside of the observational distribution. Unfortunately, this is […]

Severe sepsis strikes young and old alike with an increasing incidence of >75,000 per year in Canada at a cost of $40,000 per patient. In 40% sepsis is complicated by low blood pressure and organ failure with a mortality rate of 30-60%. The number of deaths due to severe sepsis and septic shock is greater […]

Classification and separation of solid particles immersed within an air stream plays a crucial role in aerosol separation, air filtration, fine particle recovery, and many other applications. Particle separators divide a mixture of different-sized solid particles in a flowing gas stream into fine and coarse streams. IMASCO Minerals produces ultrafine dry ground calcium carbonate (CaCO3) […]

Patients with chronic obstructive pulmonary disease (COPD) often experience adverse health outcomes including COPD exacerbations and cardiovascular events. These events impose a significant economic burden on the healthcare system and lead to impairment of patients’ wellbeing. This project aims to develop a clinical prediction model (CPM) to predict the risk of COPD exacerbations and cardiovascular […]

The Vancouver Botanical Gardens Association (VBGA) is a non-profit organization that collaborates with the Vancouver Park Board to manage both the Bloedel Conservatory and VanDusen Botanical Garden. Their goal is to help people of all ages understand the importance of biodiversity and to inspire a lasting love for plants and gardens through various programs and […]

Empawerpet (empawerpet.com) is pioneering the field of canine mental health diagnostics through their veterinary clinic-based biomarker testing platform. While they have established a foundation in biochemical analysis, they recognize the need to expand their diagnostic capabilities through a new AI non-invasive, accessible methods. The company is therefore interested in expanding their current clinic-based biomarker testing […]

This project will explore how wood pellets can be used more widely as an affordable, sustainable heating option in the Northwest Territories (NWT). While some areas already use wood pellets, there’s potential to expand this environmentally friendly alternative to fossil fuels like oil and diesel. The research will involve gathering information, working with local communities, […]

This research project will investigate the attitudes and beliefs towards learning and different kinds of training programs at a company called White Water West, with the intention of then addressing any identified problem through the design, development, and implementation of learning programs and materials. This proposal is for a single internship unit of four months, […]

This project aims to enhance SolvedAF’s digital product strategy by developing a workflow automation system that streamlines client onboarding, project tracking, and internal collaboration. By integrating automation tools and optimizing business process workflows, SolvedAF will improve efficiency, reduce manual bottlenecks, and enhance the user experience for both internal teams and clients. The project will contribute […]

All water utilities, engineering consulting firms, and provincial and federal departments in Canada responsible for design, operation, maintenance, rehabilitation, and development of a water distribution system would directly benefit from the outcomes of the proposed research. Efficient and effective asset management of water distribution infrastructure is a demand driven issue for any water utilities due […]

Machine Learning (ML) models are known to leak information about the data they were trained on, enabling membership and reconstruction attacks [7]. Such privacy risks damage trust in ML, and hinder the broad adoption of model co-training, through Federated Learning or cloud-based co-training. This is especially true in sensitive domains that could significantly benefit from […]