Evaluating Social Science in the Job Search Process

The objective of this research is to examine factors that promote job seekers’ engagement and success in their job search. Logistical characteristics of work (e.g., geographical location, hours, salary) are important, but a multitude of other psychological work factors (e.g., individual differences in work values, preferred job characteristics, personality) can influence a job seeker’s intent […]

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Real-time path identification and visualization in indoor environment using image analysis and deep learning techniques

The number of people requiring indoor navigational assistance (e.g., blind, elderly people) is increasing rapidly all over the world. People often get lost in complex places like hospital buildings. Unfortunately, the GPS service is not available indoor. The main objective of this project is to develop a robust and fast navigational technique based on continuous […]

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AI-based lattice structure design for 3D printed customized health care cushion supports

Designing customized seating cushion supports for people with limited mobility is essential. A personalized cushion would help relieve seating pressure and prevent tissue injuries due to long-time sitting. This project aims to speed up and lower the cost of producing these cushions by using machine learning, and additive (3D) manufacturing techniques. This project is being […]

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IP and Commercialization Framework for the University of Alberta

This work will support University of Alberta’s “IP and Commercialization Policy and Processes Review and Recommendations Committee”, responsible for creating a new IP and commercialization framework that supports innovation and entrepreneurship at the University of Alberta. The work of this Committee will be transformational for the U of A, and will define its innovation and […]

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Front End Developer

2.2 billion people live with vision impairment: Over 1 billion are preventable or treatable. Even though the majority of cases are in Developing Countries, 75% of vision loss in Canada is preventable and 1 out of 5 Canadians are at risk of vision loss. Our emerging crisis of preventable blindness costs the Canadian government almost […]

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Estimating black bear kill rates of boreal caribou calves and the resulting effect on caribou population dynamics

Boreal caribou are federally listed as threatened due to widespread population declines. The main cause of decline is predation, which is influenced by human-caused landscape disturbance and climate change. Recent evidence suggests that black bear predation of caribou calves may be hindering the recovery of some caribou populations, but this impact is poorly understood in […]

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Using Technology for Curriculum-Based Measurement of Literacy

We do not have an effective Canadian Curriculum-Based Measurement Tool. Moreover, existing tools do not incorporate Artificial Intelligence. We aim to develop a tool that will enable the targeted and brief assessment of gaps in student literacy skills with the aim of allowing strategic instruction to be planned and delivered based on those gaps. Identifying […]

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Cost-effective leachate treatment using aerobic granular sludge technology

Landfill leachate is a complex wastewater composed of organic carbon, nitrogen compounds, dissolved solids, and heavy metals. Leachate characteristics may differ depending on the waste landfilled, climate conditions, and landfill age. Because of the toxic and recalcitrant nature of its constituents, landfill leachate wastewater (LLW) must be treated before being released to the environment. There […]

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The Pan-Canadian Immunoglobulin Database: Enabling Utilization Reporting and Personalized Treatment Using Data Mining Techniques for Immunoglobulin

Immunoglobulin (Ig) is a blood product that is used for people who either lack IgG antibodies or require immunomodulatory therapy for life-threatening autoimmune conditions. The use of Ig products continues to increase each year, at an average rate of 8%. The COVID-19 pandemic has introduced additional stress on the Ig supply due to a reduction […]

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Developing an Automated Response Characterization Tool Based on Affect, Content, and Linguistic Features of the Casper Test

Open-ended questions are where respondents consider hypothetical scenarios that they might encounter in real life and describe what action(s) they might take in response to each situation. To assess a test-taker’s responses to these questions, a human scoring process (i.e., human raters marking each response individually) is followed. Despite following clear scoring criteria, human raters […]

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Methane Assisted Catalytic Upgrading of Extra Heavy Crudes under Moderate Conditions

Vacuum residue (VR) is the heaviest part of crude oil accounting for a large proportion in modern refineries, while its utilization routes are generally of low efficiency and high energy intensity, and thus economically and environmentally unfavorable. Similarly, bitumen recovered from Steam-assisted gravity drainage (SAGD) process experiences high viscosity and density as well as high […]

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A Data-Driven Modeling Approach for Estimating Methane Emission Sources from Satellite, Environmental, and Oil/Gas Well Data

There has been an increased commitment to capping GHG emissions from oil/gas (O/G) operations. However, reliable monitoring and quantification of methane emissions from particular sources are difficult for several reasons: (1) high-resolution sampling data over an extensive geographical area is rare; (2) identifying emission sources from large-scale monitoring satellite data is extremely challenging, often yielding […]

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