Managing environmental impacts of emerging technologies in Canada: electrochemical lithium refining

Several approaches have been developed to reduce GHG emissions, and a portfolio of technologies will likely be needed (IPCC, 2018). We propose to investigate a novel technology that may play a role in Canada’s economy decarbonization: on-site battery-grade lithium refining developed by Mangrove Lithium. However, the environmental impacts are still not clearly reported, which may […]

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The Influence of Compression Garments on Running Biomechanics & Soft-Tissue Vibrations in Female Athletes

This proposed research project will be performed to understand the influence of female apparel on running biomechanics, soft tissue vibrations, and responses to neuromuscular fatigue in prolonged running. There is an emerging and growing need in sporting goods research and development departments to study female-specific running patterns in order to create products that ensure comfort, […]

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Efficient Avatar Facial Control for Social Presence in Mixed Reality Remote Collaboration

The objective of the research project is to develop a comprehensive framework for avatar-mediated communication in AR/VR environments, with a focus on avatar facial expressions. The framework is intended to enhance the efficiency of communication in Mixed Reality (MR) remote collaboration situations, which can be variously applied to education, industry, and medicine, by providing a […]

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Effects of 2D and 3D Virtual Human on User Experience in XR Environments

This research aims to develop and utilize a virtual human evaluation model using the concept of dimensionality in XR interfaces. The phased goals to achieve the final goal are Research phase 1) Experimental design by designing virtual humans according to dimension levels in XR interfaces and deriving types of usage purposes, Research phase 2) Evaluation […]

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Development of simulation program for industry with AR/VR

There is a growing demand for training simulation programs using Augmented/Virtual Reality (AR/VR) in various industries such as nursing and construction worldwide due to safety and high cost issues. Additionally, the need for collaboration among workers within a country or across multiple countries for practical training and education is expanding in certain industries. However, there […]

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Shallow geothermal systems evaluation for Bow Valley municipalities

Energy use in buildings is among the largest energy users, accounting for about 13% of the total energy use and over 12% of the total CO2 Omissions in 2020 in Canada. The buildings sector is viewed as one with the potential for significant CO2 emission reductions by transitioning from the current fossil fuelled energy systems […]

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Development of a system for the automatic recognition and classification of normal and abnormal cells in human blood samples

Automation of medical diagnosis/detection process is very important in terms of enhancing diagnostic accuracy, increasing throughput, reducing cost, and training new staff. Our current goal is to go from the proof of concept stage (automatic recognition and classification of human blood images) to a complete working optimized prototype and to start testing it in an […]

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Electrolyte Optimization for the ElectroKinetic Soil Treatment (EKST) Process

Soil contaminated with organic and inorganic contaminants represents the largest waste stream in Alberta’s landfills. Electro-Kinetic Solutions Inc. (EKS) has developed the Electrokinetic Soil Treatment (EKST) Process to cost-effectively decontaminate soils onsite, instead of disposing them in a landfill. This innovative technology, based on the proven physics of electrokinetics, is effective even for fine-grained soils […]

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Testing novel compounds to prevent peritoneal adhesions

Peritoneal adhesions are the leading cause of the postoperative bowel occlusions and are often associated with increased morbidity and mortality rates. There is no successful treatment developed yet and adhesion re- operations are only a temporary solution. Thus, there is a strong unmet clinical need to develop novel therapies to help patients. We developed a […]

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Mathematical Models in Algorithmic Trading

On June 1, 2021, Futures First Canada and FinML began a pilot collaborative project involving three Canadian universities by-way-of a MITACS Accelerate internship (IT25712) to jumpstart an initiative to use cutting edge techniques in machine learning, financial mathematics and AI for making predictions in financial markets. This goal is integral to the business operations of […]

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