Elucidating Ion Transport and Catalyst Degradation Mechanisms in Proton Exchange Membrane Electrolyzers

As one of the most promising pathways to achieve zero-emission targets, Canada and Germany launched their respective hydrogen strategies. Polymer electrolyte membrane water electrolyzers (PEMWEs) for green hydrogen production and hydrogen-fed PEM fuel cells (PEMFCs) for zero-emission vehicles are two technologies considered to be crucial parts of the future hydrogen infrastructure in both countries. Although […]

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De-risking CO2 Capture Technology with Amine Intensification and Novel Solvents: Process Modeling, Validation, and Scale-up Assessment

This project aims to improve carbon capture technologies by testing and optimizing new solvents and process designs for capturing CO2 from industrial emissions. By using advanced computer simulations and experimental testing, the project will help identify the most effective solvents and strategies to reduce the costs and energy needed for carbon capture. The project will […]

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Control of point source low volume methane emission using methanobiofiltration technology

Methane is a key greenhouse gas (GHG), and atmospheric methane emissions in Alberta are associated with a variety of industry sectors: sanitary landfills, wood waste landfills, feedlot operations and the oil and gas sector. When the quantities released at individual locations are relatively small, this methane cannot be used as an energy source; therefore, environmentally […]

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Development of Microneedle-Based Sensors for High-Resolution Electromyography Recordings

This project aims to develop a novel wearable microneedle patch that can painlessly measure muscle activity more accurately and comfortably than current technologies, with the potential to transform how neuromuscular disorders like Parkinson’s are diagnosed and managed. It leverages the University of Calgary’s expertise in low-cost, scalable microfabrication techniques and University College Dublin’s expertise in […]

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Parameterized Pulse Encoding for Quantum Machine Learning

Chemical property predictions using quantum machine learning (QML) lie at the intersection of machine learning, quantum computing, and computational chemistry. QML models often use parameterized quantum circuits (PQCs) that abstract gate-level quantum operations but offer limited flexibility in adjustable parameters. To enhance QML model performance and generalizability, incorporating pulse-level operations, which lie below gate-level in […]

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Alteration of plant cell wall structure for improvement ofbiomass hydrolysis

Biobased products, mostly derived from plant biomass, have the potential to improve the sustainability of Canada’s natural resources and environmental quality while competing economically. Plant biomass, composed primarily of cell walls and modification of cell wall properties has the potential to improve biomass conversion to biobased products such as biofuels. Progress towards achieving this goal […]

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Statistical Shape Modelling in Ankle Osteoarthritis

Osteoarthritis (OA) is a degenerative joint disease causing pain and disability affecting weight-bearing joints. Unlike knee and hip OA, ankle OA is linked to trauma and remains under-researched despite its impact on mobility and quality of life. Joint kinematics play a key role in OA progression, as altered movement patterns accelerate cartilage degeneration by changing […]

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