Microbial Dyes

Lite-1 utilizes innovative technologies like synthetic biology and biofabrication in pursuit of a novel solution. Many bacteria naturally produce colourful, non-toxic pigments (Ahmad, et. Al, 2013). Through the lens of design, we identify and study organisms that produce the market’s desired colours. Lite-1 dyes reduce water pollution, are safe for workers as well as the […]

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The role of automobility engagement in consumer response to new mobility innovations

The transport sector is the second highest source of greenhouse gas (GHG) emissions in Canada. The prevalence of car use in passenger transport, also referred to as “automobility”, is a key driver of GHG emissions and other societal issues. Transport innovations can reduce emissions – for example, plug-in electric vehicles (PEVs) are an essential component […]

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The Effect of Cathode Particle Surface Area on the Performance of Lithium-Ion Batteries

Lithium-ion batteries have become a crucial tool in countering global fossil fuel reliance; when paired with electric motors, they provide an alternative to petroleum-based energy storage for internal combustion engines. The cathode (the positive electrode) in a lithium-ion battery is typically made up of lithiated transition metal oxides, each of which presents a unique set […]

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Advancing the Utility of Electrochemical Pressure Impedance Spectroscopy (EPIS) as a New Fuel Cell Diagnostic Technique

Fuel cells are versatile, low-emission alternative energy sources, but their optimization is complex due to their black-box nature. For fuel cells to perform at peak proficiency, each component requires a different level of hydration, yet these parameters are currently unattainable with conventional diagnostic techniques. In consultation with Greenlight Innovation, this project focuses on the further […]

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Technical Economic Analysis Framework for Economic Impact Analysis and Technology Readiness Acceleration

The aim of the research is to propose a Technical Economic Analysis (TEA) framework which can accelerate knowledge translation of university-based industry-sponsored research. There are many impactful pathways for knowledge translation, and this research will focus on the commercialization pathway. The motivation of this research project is to apply novel start-up methodologies to the TEA […]

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The characterization of fungal pathogens and endophytes in the seed bank to assist endangered species recovery plans for Braya fernaldii and Braya longii

The Limestone Barrens of Newfoundland are a coastal ecosystem hosting many rare plant species, including the endangered Braya fernaldii and Braya longii. In addition to habitat loss and human disturbance, these plants are chronically affected by fungal infections and foliar damage by insect pests. To assist species recovery efforts across their historic range, seeds have […]

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Disentangling complexities and interactions of multiple ecosystem services using functional connectivity at a small landscape scale

This research project aims to create a model to understand how nature benefits humans through services like pollination, food production, water supply, and soil health in the agricultural landscapes of the Canadian prairies. Using advanced technology, the project will map these services and study their complex relationships, as well as potential trade-offs and collaborations. The […]

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Investigating Southern Resident and Bigg’s Killer Whale Clicks to Explore Ecotype-Specific Detectors

The Salish Sea contains many shipping routes frequently used by the endangered Southern Resident killer whales (SRKW). To protect the declining population of SRKW, current efforts are focused on limiting encounters between SRKW and vessels. To acoustically locate SRKW in the Salish Sea, detectors must be capable of distinguishing SRKW and Bigg’s killer whale vocalizations. […]

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New/Mode Electoral Representative Data Aggregation

New/Mode is a Canada-based social enterprise that facilitates communication between elected representatives and their constituents on the behalf of progressive NGOs. This project will bring novel machine learning technologies to bear in an effort to improve accuracy and efficiency in the maintenance and evolution of a repository of contact information for these elected representatives.

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