Machine learning based reconstruction for laser diode photoacoustic imaging

Photoacoustic (PA) imaging has shown great potential in cancer detection, tissue characterization, and therapeutic applications. Laser diode-based PA imaging is a new development in this field that can be used for image guidance, nerve or cancer imaging, and the localization of a needle target during biopsy procedures. The PA imaging requires very accurate time synchronization […]

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Implementation of Tensor Neural Networks

Tensor networks are a quantum inspired technique that provide useful mechanisms for solving hard problems, usually in the realm of quantum mechanics and many-body systems, through the manipulation and operation of tensors. The main challenge underlying this project is the productionalization of a quantum-inspired deep learning algorithm which currently exists as a proof of concept […]

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Synoptic conditions of rain-on-snow related environmental and operational issues in forestry activities on Vancouver Island, British Columbia, Canada

Watersheds in the coastal regions of British Columbia are comprised of rugged mountains and high storm runoff, rendering streams prone to increases in snowmelt during rain-on-snow (ROS) events due to forest harvesting. Importantly, both forest harvesting operations and ROS events are widespread in the transitional snow zones of Vancouver Island, BC. Correspondingly, they routinely experience […]

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Reducing homelessness using direct cash transfers (expansion project)

The goal of this project is to examine the effect of one-time unconditional direct cash-transfer to recently homeless individuals in Vancouver, BC, Canada. Building on promising results from our research team’s ground-breaking pilot randomized controlled trial (RCT) with 50 cash recipients, the current project seeks to confirm this preliminary evidence using a larger RCT with […]

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Assessing the Effect of Hazard Perception Training on Driving Ability

Improving driving safety is an ongoing challenge with far reaching consequences for Canadians. One method of improving driving safety is by improving driver performance with hazard perception training. Hazard perception is a driver’s ability to anticipate dangers in the road environment and is predictive of the likelihood of being in a crash. Several countries including […]

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Exhumation history of the Toodoggone Mining Camp: implications for the preservation of magmatic-hydrothermal mineralizing systems in the northern Toodoggone district, BC, Canada

Epithermal-type deposits are small, high-grade gold and/or silver ± base metal deposits that formed shallowly in the upper crust and are frequently associated with hydrothermal fluids related to deeper emplaced, large tonnage, low-grade precious metal ± base metal porphyry deposits. Bringing the deeper emplaced deposits to surface requires processes such as erosion of overlying rocks. […]

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Cost-effective CO2 photocatalytic reduction by hybridizing earth-abundant molecular catalysts and inexpensive light absorbing organic polymers

Driven by the awareness of the full environmental impact of fossil fuel mass consumption, the world is gradually transitioning to sustainable energy sources to eventually eliminate CO2 emissions. Inspired by this, we seek to develop an inexpensive photocatalytic system composed of earth-abundant organic polymer semiconductor and molecular cocatalysts that is capable of utilizing the energy […]

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Optimal Numerical-Weather-Prediction Parameters for Wind-Power Forecasting

BC Hydro purchases power from four independent wind farms in British Columbia to supplement their hydropower. But wind is not steady, so BC Hydro must compensate for shortfalls or excesses in wind power to provide steady, reliable, economical power to its customers. To achieve this reliability, BC Hydro uses wind forecasts provided by the University […]

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To enhance translation of the intention-physical activity gap amongst Canadian adults by integrating the multi-process action control framework into the ParticipACTION app.

Regular physical activity is essential for optimal physical and mental health however the majority of Canadians aren’t meeting physical activity recommendations. The ParticipACTION app aims to assist Canadians in becoming more active and the purpose of this research program is to enhance the app’s impact by informing it with the Multi-Process Action Control (M-PAC) Framework. […]

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