Variational quantum circuits allow to do machine learning on near-term quantum hardware. The success of the algorithms strongly depends on the choices made during the model design. These choices can be quantified and are called meta-parameters. Examples are the number and type of quantum gates in the circuit, the number of layers of circuit template, […]

Thermal management of power electronic devices in an electric vehicle inverter is a critical factor influencing cost, size, efficiency and reliability of the system. Liquid cooling is a viable option; however, for peak power operation, the existing liquid cooling system must be optimized. A new impinging-jet-based liquid cooling system with enhanced heat transfer was designed […]

In this research we will identify current types of customer, taking into account people who prefer to use a variety of platforms and different preferences in terms of how actively they manage their money. . We will carry out focus groups and interpret the results of a survey in terms of their implications for a […]

This research involves observing and evaluating sustainability experiments in the small business community, which will contribute to a database that will integrate knowledge from previous research created at the university. The web-based repository will highlight case studies of transformative sustainability entrepreneurship endeavors and supporting legal, political and governance arrangements. The research will focus on the […]

I will be developing analysis tools for studying sleep and circadian rhythms in patients with Alzheimer’s disease (AD). This project is a continuation of the project I worked on last summer at the University of British Columbia (UBC) and is a sub-study of a clinical trial that aims to evaluate the optimal dose of an […]

Hockey parents are worried about rising concussion rates. Currently no sports equipment protects against concussions. Hockey players aged under 18, must wear a neck guard for protection against skate blade cuts. Recently, a redesigned hockey neck guard, using an impact sensor and airbag technology was conceptualized. We want to test whether airbag inflation upon direct […]

One of the major responsibilities of financial and business analysts is to generate narrative reports summarizing business trends based on time series data. As it stands, this analysis is typically done manually, requiring analysts to pour over huge amounts of data looking to understand trends, and performing ad hoc analyses to establish relationships between data […]

This project aims to develop a novel collection of probiotics for animal health, specifically newborn and pre-weaned calves. Probiotics are a safe and sustainable way of ensuring the health of animals in the agricultural industry. The probiotics will be designed to decrease the morbidity and mortality rates in pre-weaned calves, and to increase the long-term […]

The ultimate objective of this research project is to use a form of artificial intelligence to be able to classify and identify images of microscopic particles. Machine Learning is the term applied to this type of process, in which an algorithm is created by the computer software itself (i.e. mostly hidden from human intervention) to […]

This project will assess the game demands of wheelchair court sports. While this has been attempted in the past, new methods using inertial measurement units (IMU) allow each push to be identified and offer new ways to analyze these game demands and connect them to key performance metrics. With the help of Own the Podium, […]

The aim of this project is to better understand the onshore and offshore feeding habits and movement of walleye on Lake St. Joseph. There is special emphasis on answering the question: if, when and how much do Walleye rely on invertebrates in general, and Mayflies in particular. Walleye are an economically and ecologically significant sport […]

Deep neural network (DNN) is a class of machine learning algorithms which is inspired by biological neural networks. DNNs are themselves general function approximations, which is the reason they can be applied to almost any machine learning problem. Their applications can be found in visual object recognition in computer vision, translating texts in unsupervised learning, […]