Hybrid hydraulic-electric system for light electric vehicles controlled by muscle fatigue sensors

Light electric vehicles such as e-bikes, e-scooters and e-cars have increased in popularity but still they have many problems. Their battery capacity and motor efficiency can strongly limit the riders. The main objective of the project is to design a hybrid electro-hydraulic system for chainless pedaling vehicles. Our idea is a coupled motor generator system with high efficiency and variable pedal torque. To Control the pedal torque we are going to design a skin touch sensor to detect the muscle fatigue.

Investigating the Paradoxical Adoption of Blockchain in Healthcare Data Sharing: The Patterns, Consequences and Mediating Mechanisms of Challenging yet Succumbing to Incumbents

In this Mitacs project, we examine how nascent technology advocators can successfully implement the technology in highly institutionalized settings. Using the implementation of Blockchain in healthcare data sharing as an example, we compare and contrast the implementation strategies of 6-8 start-ups or divisions of established companies, and examine how the different types of implementation strategies lead to different implementation outcomes. Based on this research, BI will learn about the key advocators of Blockchain for healthcare data sharing, their strategies and performance.

Green Chemistry for Green Solvents - Year two

A major contributor to smog formation is the release of volatile chemicals into the atmosphere which are emitted from many sources including automobile exhaust and consumer products such as paints. To combat the adverse effects smog has on air quality in North America, agencies such as Environment and Climate Change (Canada) and the Environmental Protection Agency (United States) enforce limits on the types and amounts of chemicals used in industrial applications and consumer products.

Development of Coxsackievirus B3 as an Oncolytic Virus for KRAS-Mutant Lung Cancer Treatment

In Canada, lung cancer is the leading cause of cancer-related deaths for both sexes. Non-small-cell lung cancer (NSCLC) constitutes ~85% of lung cancer cases. Mutations in the KRAS and EGFR genes are two most common oncogenic drivers for NSCLC and responsible for ~30% and ~15% of NSCLCs, respectively. Unlike the EGFR-mutant type, KRAS-mutant NSCLC is currently undruggable and associated with poor prognosis. Our lab has recently demonstrated that Coxsackievirus B3 (CVB3) is a potent oncolytic virus against KRAS-mutant NSCLC.

Strategies to attack cancers

Pascal Biosciences Inc. is a company developing immuno-oncology therapeutics to fight cancer. It was initially founded on ideas and research that originated from Dr. Wilf Jefferies’ laboratory at the University of British Columbia. Since then, the company has continued to collaborate with Dr. Jefferies and his team to forward the research, through direct sponsorship and through collaborative research partnerships. Pascal has a mandate to discover and develop targeted agents that enable the body's own immune system to recognize and attack cancers.

Implementation of a low barrier hydromorphone distribution program to prevent fatal overdoses

North America is experiencing an unprecedented opioid overdose epidemic driven by the proliferation of fentanyl and fentanyl-adulterated drugs. Based at the BC Centre on Substance Use (BCCSU) and in collaboration with the BC Centre for Disease Control (BCCDC), I will undertake an ethno-epidemiological study to evaluate the implementation, uptake, and effectiveness of a novel low-barrier hydromorphone distribution program via a secure automated medication dispensing system targeting individuals at high risk of fatal overdose.

Motion fields with deep reinforcement learning for real-time character animation

Character motion in games and animations often have high requirements of realism, aesthetics, and interactivity. For instance, in soccer simulation games, users control the players to move in different directions and perform actions such as passing and shooting. Modern data-driven approaches like motion fields provide convenient ways to synthesizing natural motions from a given database of motion capture data. In this work, we look to improve motion fields by leveraging deep reinforcement learning.

Fatty liver assessment with Attenuation Coefficient Estimation (ACE)

One in every five people will develop liver disease in their lifetime. Few people think about liver disease until the disease has progressed and has permanently damaged the liver. Fatty liver disease falls into this category with obesity as the most common cause. Given more than 50% of Canadians are overweight and 75% of obese individuals are at risk of developing a fatty liver, this is a widespread problem. Canadians with fatty liver and other liver diseases need a tool for detecting and monitoring their liver health. Analogous to blood pressure numbers, we need numbers for liver health.

Optimizing Chemical Usage at the Barkerville Gold Mine

The Barkerville Gold Mine will host an intern to conduct a study to optimize chemical usage to extract gold and treat effluents. The gold mine obtains ore from a range of deposits with different mineralogical properties. The intent is to minimize chemical use and therefore reduce effluent treatment requirements thereby reducing overall environmental liabilities and increasing productivity.

The Essence of Improvisation: Promoting Emotional Fitness in Employees, Products, and Customer Experiences

My proposal directly builds on my Ph.D. work, which has concerned how musical and theatre improvisation can be applied in business and public health settings to promote cognitive and social-cognitive goals.

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