Decision Support System to Manage and Forecast Final Project Costs

Managing construction projects can be a challenging task as they are subject to change and comprised of numerous work packages. Understanding project outputs in the early phases of a project can assist project managers to make informed decisions and take timely corrective actions to deliver projects on-time and on-budget. In the applicant’s doctoral research project, […]

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Accelerated Carbon Capture, Utilization and Storage in Mine Tailings

Reducing greenhouse gas (GHG) emissions to limit the impacts of climate change requires implementation of practical GHG-cutting technologies by industry. This research project will investigate carbon management and sequestration strategies for reducing GHG emissions in the mining industry with a focus on diamond mines including the Gahcho Kué mine in the Northwest Territories and Venetia […]

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Training the mind, to train the body

In this project, we will measure and increase brain activity theoretically related to motivation to test whether this neural correlate predicts exercise behaviour. In the first study we will test the validity of a text-message based intervention and demonstrate that it increases motivation-related brain activity. Following the in-lab pilot, Study 2 will provide neurofeedback training […]

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Development of plant-based beverage with high content and quality proteins

Plant-based beverages are inappropriate alternatives to bovine milk, due to lower protein content and not sufficient amount of essential amino acids. To produce nutritionally complete plant-based beverage with high overall acceptability, the technological interventions and fortification techniques need to be developed. Oat is one of the promising raw material for preparation of functional plant-based milk […]

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Materials Selection & Design Strategies for Impact Resistance in Hand Protection

The needs for protective equipment are many, and range from use at home to many industrial sectors, such as: construction, mechanics, forestry, oil and gas, health, and manufacturing. There are many reasons to wear protective equipment: to provide improved grip and resistance to chemical exposure, pathogens, heat, cold, abrasion, punctures, cuts, crushing, and impact. In […]

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Policy Optimization in Parameter Space

Model-free Reinforcement Learning (RL) has recently demonstrated its great potential in solving difficult intelligent tasks. However, developing a successful RL model requires an extensive model tuning and tremendous training samples. Theoretical analysis of these RL methods, more specifically policy optimization methods, only stay in a simple setting where the learning happens in the policy space. […]

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Securing Accessible, Quality Early Learning and Care for Families Working Non-Standard Hours in Alberta: A Systematic Scoping Review

Across Canada, many families struggle to find high quality, affordable child care. Most child care options for families are limited to daytime and weekday work hours; this creates even greater challenges for shiftworkers who rely on paid child care. When child care is not available, mothers usually bear the greatest burden as many women, whether […]

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Indigenous engagement in wildfire management within Canada and New Zealand

The following research will explore how Indigenous peoples’ within Canada and New Zealand are engaged in the management of wildfire. Interviews will be conducted with senior government officials and senior Indigenous leaders during individual case study’s with Nova Scotia, Ontario, Saskatchewan, British Columbia and Northwest Territories in Canada and within the country of New Zealand […]

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Digital speech analysis: prediction and differential diagnosis of PTSD symptoms and severity

Occupational stress conveys risk of Posttraumatic Stress Disorder (PTSD). In PTSD, early diagnosis and early treatment interventions are advantageous for positive outcomes. We will develop novel technology for early diagnosis of and prediction of vulnerability to PTSD in military and first responder personnel. Based on our existing collaboration on identification of symptoms and prediction of […]

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Anomaly detection and simulation for unlabeled sensor data

The rapid development in the areas of statistics and machine learning demonstrate unprecedented performance in making cognitive business decisions. Quartic.ai aims to use state-of-the-art machine learning technology to help manufacturers assess and maintain the quality of their industrial units, which suffer damage due to continuous usage and normal wear and tear. Such damage needs to […]

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