Realistic Degradation Studies of Platinum-Rare Earth Alloy Fuel Cell Catalysts using Near-Ambient Pressure X-ray Photoelectron Spectroscopy

This proposed project will investigate the failure modes of platinum-rare earth element alloy catalysts for hydrogen fuel cells. These alloys are the current state-of-the-art catalysts in terms of durability for proton exchange membrane fuel cells (PEMFCs), yet due to their recent discovery are lacking important studies to understand their degradation under working conditions. These types […]

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Device classification for telecommunication industry

As information technology (IT) and telecommunication systems continue to grow in size and complexity, the types and the number of telecommunication and networking devices required to support provider’s services have surged. Identifying these devices in a network is a challenging task, since they usually lack proper or accurate documentation describing their operating characteristics. Accurate device […]

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First Languages AI Reality ASR Pilot

The research projects will range from practical curricula development using Indigenous linguistic strategies to advanced machine learning experimentation. The goal of the intern research projects will be to advance ML science for the benefit of Indigenous communities.

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Spatial distribution and environmental stressors of kelp forests in the Broughton Archipelago, BC

The objective of this project is assessing the current distribution of kelp forests and to identify potential areas where the environmental conditions could enhance the development and resilience of kelp forests in the Broughton Archipelago, northeast of Vancouver Island. This information will help research, managers, communities, and Bamfield Marine Science Centre, the partner organization, to […]

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Sea Ice thickness distribution modeling

The aim of this internship is to carry out an analysis of the equations modelling the distribution function of sea ice thickness, particularly in the case of large deformations such as ridges. Among other things, we will be interested in the numerical solutions of these equations, their stability and their consistency.

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Wireless Charger System for e-bike/e-scooter

Light electric vehicles such as e-bikes and e-scooters are gaining popularity. However, due to lack of standardization each brand/manufacturer use different battery configurations. Consequently, designing a public charging station for light electric vehicles is a challenge. Moreover, wireless charging of light electric vehicles offers a more elegant and convenient solution. Thus, the goal of the […]

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CdS heterojunction contacts to CZT X-ray detectors

CdZnTe (CZT) semiconductor crystals are used as X-ray detectors in state-of-the-art medical CT scanners. These devices are sensitive to individual X-ray photons and enable tissue selective X-ray imaging with reduced radiation dose to the patient. The CZT detectors function by converting absorbed X-rays into electrical signals that are subsequently analyzed by a computer to make […]

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Investigating the Impact of Environmental and Anthropogenic Stressors on Pacific Herring (Clupea pallasii) Spawning Dynamics in the Strait of Georgia

This study focuses on the Pacific herring in the Strait of Georgia, which has seen a significant reduction in its range since the 1980s, without a clear cause. This contraction is concerning due to the herring’s importance to species like the Chinook salmon, which rely on herring as a food source. The research aims to […]

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Mediated Public Space in China: The Shift Towards Privacy fromWeibo to Weixin

This research project will focus on two popular online communication platforms in China, Weibo, a public microblogging service, and Weixin, a multi-functional, private Instant Messaging application. The two platforms will be compared in the way that they operate as public or private spaces, the influence of interpersonal goals on the interaction in these spaces, and […]

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A generalizable bilevel reinforcement learning model to solve large-scale unrelated parallel machine scheduling problem with sequence-dependent setups in real-time

Our research addresses the challenges in solving large-scale parallel machine scheduling, an important combinatorial optimization problem in computer science and operations research. With applications ranging from manufacturing to healthcare and supercomputing, our goal is to provide a real-time solution for instances exceeding 1,000 jobs. In this research, we explore the application of parallel machine scheduling […]

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