Energy storage technology is critical for reducing greenhouse gas emissions and transitioning to renewable energy and should be designed to suit the cold environment in Canada. In collaboration with Atlas Power Technologies Inc., a B.C.-based clean technology company, Dr. Liu’s group will design and build an aqueous zinc-ion capacitor (AZIC) technology with high-power, intrinsic safety, […]

This research project is intended to implement and evaluate a machine learning framework utilizing multispectral imagery to optimize protein production efficiency from two Canadian livestock industries, dairy production and beef cattle production. The assessment protocol will include the surveillance of pathophysiological conditions (e.g. bovine respiratory disease, mastitis, estrus detection), animal well-being (e.g. stress susceptibility, lameness, […]

The primary goal of this project is to develop a robust testing strategy that can be utilized by Vireo Advisors Canada to help industries and regulators assess the environmental and health safety of ENMs. To accomplish this goal, I will validate commonly used and recently developed cell-based assays for potential engineered nanomaterial (ENM) interference and […]

The COVID-19 pandemic is the greatest public health disaster in over a century resulting in the death of nearly 6 million people world-wide. The virus has evolved over the last two years to highly transmissible variants, outpacing our efforts to contain it by mass vaccination. Effective drugs that can curtail the infection at early stages, […]

L’ensemble de la filière agricole est confronté aux maladies fongiques et les phénomènes de résistances face aux fongicides qui en découlent. Depuis 1990, des méthodes de Lutte Antiparasitaire Intégrée (LAI) tendent à faire évoluer les pratiques agricoles en prenant en compte l’apparition de ces résistances et les quantités d’intrants appliqués en champs pour prévenir les […]

The objective of this project is to help reduce the environmental impacts of automotive painting operation by correlating changes in paint quality, transfer efficiency, and VOC and GHG emissions with droplet size distributions and the spray pattern produced by Electrostatic Rotating Bell atomizers. During the project, data will be collected using the innovative Mazlite platform […]

The project is designed with the following objectives: Improving the statistical formulation for the recently developed stock assessment model for BC lakes so that it maybe fitted to more types of field data, e.g., stocking, gillnet test fishing and angling effort data, and applying it toimprove understanding of kokanee-rainbow trout interactions in lakes, assembling lake […]

Market research is fundamentally about understanding humans as consumers, in all their complexity and nuance. This fellowship will apply natural language processing techniques to the problem of representing consumer language, and generating conversational prompts intended to elicit opinions and underlying motivations which are pertinent to ad-hoc market research objectives. In partnership with Nexxt Intelligence Inc., […]

Les infections respiratoires virales sont une problématique importante pour les systèmes de santé mondiaux. Plusieurs virus respiratoires tels que les coronavirus, responsables notamment de la COVID-19, et les virus de type influenza responsables de la grippe mutent rapidement ce qui leur permet d’échapper au système immunitaire et de résister aux traitements. Conséquemment, nous voulons bloquer […]

Youth concussion rates are rising across Canada. In response, efforts are being made to enable the recovery of injured youth. However, little is known about what recovery ‘is’ (how youth understand their own recovery, what constitutes a ‘good’ recovery). This omission represents a major gap in knowledge of youth concussion. This research project will partner […]

Sewage collection systems have long been considered as sanitation and hydraulic infrastructure, i.e., a medium for transporting wastewater to the treatment facility. Therefore, the management focus has been mostly on hydraulic performance and the prevention of particle settling/odor development in pipes. Current research extends beyond sewage conveyance into sites of chemical and biological transformation with […]

Quantum computers have the potential to perform computational tasks which are impossible to solve on classical computers. One natural application of quantum computing is to use them for predicting how quantum mechanical systems (e.g., models of quantum magnetism or chemical molecules) evolve in time. However, existing quantum computers – so-called noisy intermediate-scale quantum (NISQ) devices […]