Design and development of an automated indoor position tagging system and autonomous navigation for a contact-based flying robot using sensor fusion and machine vision

Providing three-dimensional (3D) coordinates and more importantly drone navigation in GPS-denied environments has been always challenging. Limiting factors such as signal reflection from walls (multipath), lack of Global Positioning System (GPS) signals in confined spaces and non-line of sight (NLoS) communication with orbiting satellites, build a barrier to navigate indoor drones. In this work, we […]

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Sensor technologies for cardiac arrest

Using simplified language understandable to a layperson, provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization. (100-150 words) In more than 75% of all Sudden Cardiac Arrests, no one is there to witness the event and call 9-1-1, […]

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Integrating Drone Imagery, advanced AI, and Remote Sensing for Assessing Success Rate of Natural and Artificial Forest Regeneration in Post-Wildfire Landscapes

This research project aims to address the existing knowledge gap regarding the effectiveness of drone-based reforestation compared to natural forest regeneration in post-wildfire areas. This study seeks to provide valuable insights into its benefits, limitations, and potential for large-scale reforestation efforts. The research outcomes will contribute to the scientific understanding of drone-based reforestation, guide reforestation […]

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Effects of Logging Practices on Floods and Droughts in the Sunshine Coast

Recent findings expose the concerning sensitivity of hydrologic and geomorphic function to clearcut logging. Water quality, fish habitat, downstream infrastructure, and human lives are all suffering due to clearcut practices and climate change. This study will explore for the first time the differences between the effect of clearcut logging and more ecosystem friendly logging practices […]

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Model Application for Estimating Total Suspended Solids in Eastern Amazonian Waters

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 […]

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L2M – AI scribe tool for mental health professionals

This project develops an AI-powered clinical scribe designed specifically for mental-health therapists. Many therapists spend excessive time on documentation, often losing 5–10 hours per week to paperwork. Existing medical transcription tools are not built for psychotherapy and fail to meet privacy or workflow needs. Our project will create and test a privacy-first, therapist-friendly prototype that […]

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How Generative AI Changes Problem Solving in Software Development

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 […]

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L2M- TATOM

We will validate TATOM (Tumor-on-a-chip assembly to observe metastasis), a miniature human-on-a-chip platform mimicking cancer metastasis for drug testing. Through customer discovery and market analysis by initially interviewing critical parties in the sector. Through these interviews, we will assess commercial viability, identify user needs, and finally refine the business model to accelerate translation to clinic […]

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L2M – Low-carbon modular concrete buildings

Housing shortage is one of the most serious societal issues that Canada is dealing with. On the other hand, the shrinking number of workforce is expected to increase the construction duration and cost of the new project. Furthermore, the influence of climate change in the form of wildfires and hurricanes threatens the conventional methods of […]

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L2M – GradientX

Nowadays, many young Canadians [2] and newcomers [1] begin their financial journey with limited access to guidance on saving and investing, which leaves them at risk of debt and missed opportunities to build wealth. Existing tools are often complex and designed for experienced investors, not beginners. This project aims to develop and validate GradientX, an […]

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L2M – SensRIM

For manual wheelchair users, mobility means pushing thousands of times each day, often leading to pain, fatigue, and upper-limb injuries. SensRIM is an innovative, sensor-integrated ergonomic pushrim designed to transform this daily effort into data-driven mobility, enhancing independence, comfort, and health outcomes. By embedding soft tactile sensors that directly measure propulsion forces and detect user […]

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