This project investigates biomechanical risk factors associated with non-specific low back pain in road cyclists. Using motion capture and isokinetic core strength testing, spinal movement patterns and muscular deficits are analyzed during cycling under controlled laboratory conditions and highly realistic treadmill cycling with the athlete’s own bicycle. The goal is to better understand how segmental […]

This project will support the development and growth of a customer retention and rewards program for Nature Bee, a Canadian sustainable home-goods company. The internship will focus on analyzing customer purchasing behaviour, identifying retention opportunities, and supporting the expansion of a loyalty and rewards strategy designed to increase repeat purchases and long-term customer value. The […]

This project aims to develop new machine learning models that can help wind energy companies design wind farms more efficiently and at lower cost. Today, planning a wind farm requires running large, high-resolution computer simulations to understand how wind flows around turbines and how much power a proposed layout can produce. These simulations are accurate […]

In Canada and worldwide, health systems are facing tremendous capacity pressures with aging populations putting increasing demands on health services. Caregivers play a vital role in supporting older adults at home. Caregivers often experience distress and burnout and need help navigating the health system. The overall goal of the project is to evaluate the feasibility […]

This project explores how to better model gas flows in situations where traditional fluid equations break down, such as in very small systems or low-pressure environments. Instead of relying on costly molecular simulations, the research develops advanced extensions of classical fluid models that remain mathematically stable and thermodynamically consistent, while being flexible enough to describe […]

Timber is a sustainable alternative to concrete and steel, offering a lower carbon footprint and benefits such as high strength-to-weight ratio, ease of prefabrication, and rapid on-site assembly. However, timber floors have low mass and limited stiffness, making them prone to vibrations that can reduce occupant comfort. Steel beams, particularly the innovative Deltabeam system, enhance […]

Suspended sediments influence water quality, ecosystem functioning, and navigation in rivers and coastal environments. In the Eastern Amazon, estuarine systems such as the Guamá River and Guajará Bay experience intense variability in suspended sediment concentrations due to the combined effects of river discharge and tidal dynamics. These processes produce changes in water turbidity and optical […]

Use of generative artificial intelligence (GenAI) has skyrocketed in software development. Although gains in workers’ productivity have received significant recent attention, little is known regarding the deeper long-term effects of these tools. Researchers from the University of Victoria, Canada and the University of Zurich, Switzerland are conducting an experimental study to evaluate the potential risks […]

Artificial intelligence tools for contrast enhancement in medical imaging often improve visibility but may remove subtle structural details, reducing diagnostic reliability and clinical confidence. This project focuses on validating and preparing for the commercialization of the Edge-Aware Diffusion for Contrast Enhancement framework, which uses an edge-aware diffusion process to improve image contrast while preserving fine […]

This project is designed to provide a baseline dataset for fish processing stations on Southern Vancouver Island. From this dataset, researchers aim to identify broad-scale trends in nearshore marine systems and identify future research needs. Main objectives of the project include monitoring both seal behaviour and fish waste subsidies near these recreational fish processing stations […]

Knowledge graphs are a means of structuring semantic knowledge that can be used to increase AI reliability. In our applications, Large Language Model (LLM) chatbots are not on their own able to meet 100% accuracy goals for our scenarios, and we use the knowledge graph to reflectively validate answers before presenting them to the user. […]

Simulation of quantum systems is important for modern technologies. However, obtaining quantum solutions is known to be harder than we can expect to accomplish with any efficient algorithm. The discovery of new technologies is highly reliant on improving existing simulation techniques. Our proposal is to radically reinvent how simulations of quantum problems is performed. We […]