The development and feasibility/acceptability testing of an online mind-body wellness program for primary biliary cirrhosis

Persons with primary biliary cholangitis (PBC) have high rates of liver disease-related symptoms and poor health-related quality of life – amongst the lowest of all chronic liver diseases. Patients and the Canadian PBC Society have identified the need for self-care tools to manage symptom burden. Building upon a previously developed online wellness program for inflammatory […]

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Decolonization, engagement and multi-sectoral collaboration from an urban Indigenous perspective.

The research project will look at how EndPoverty Edmonton has engaged with the diverse Indigenous population that lives in Edmonton on their interests and perspectives on eliminating poverty. Indigenous peoples and communities continue to experience social and economic inequality as compared to other Canadians. Their social and economic inequality can be linked to the impacts […]

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Acoustic Emission Testing of Fibers Exposed to Different Environmental Conditions

This research project investigates methods for detecting damage and breakage in fibers used in fiber-reinforced polymer composite pressure piping. Of primary interest is Acoustic Emission (AE) technology to isolate and identify damage types and corresponding AE features for fiber reinforcement rupturing when exposed service loads and different environmental conditions. Sound signals produced by fiber rupture […]

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Interactive, place-based mapping of climate analogs in Yukon’s mountain regions to inform tree species selection in areas of rapid climate change.

Research problem: Reclamation practitioners must consider seed source for revegetation measures that maximize long-term resilience of reclaimed sites in regions undergoing rapid climate change. Climate analog mapping, relating climate of a space at a point in time to that of another, can help identify location of seed sources best adapted for current and future climates. […]

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Application of Data Analytics Approaches for Solvent-Assisted Bitumen Recovery Pilot Analysis

This project will develop data-driven models for production performance analysis and optimization for solvent-assisted bitumen recovery operations and related processes. Effective operations of solvent processes are crucial for improving oil production and maintaining a low solvent-to-oil ratio (SOR). Although the recent developments in digital oilfield technologies have enabled real-time surveillance of downhole operating conditions and […]

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Advancing methods and understanding: Status and drivers of mammal populations in Alberta

Biodiversity loss is a major concern worldwide. Alberta’s has abundant natural resources; however, developing these natural resources can impact species, including mammal species and those valued by the public. Understanding the impacts of disturbance on populations of mammals is necessary in order to inform environmental management. This project will harness existing data through the Alberta […]

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Machine Learning in Business Valuation Using Merger and Acquisition Data

Business valuation deals with the estimation of a company’s value, using information from markets and the company’s financial statements. Such valuation is important when assessing mergers and acquisitions (M&A) of companies or the sale of an owner’s share in a business. Three different approaches are commonly used for business valuation: the income approach (estimating future […]

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Statistical machine learning methods applied to ATB data for debt collection optimization, small business lending decision modelling, and open banking initiatives

The intern will research new modelling technology to determine if the new models can make a significant improvement in servicing customers for loan approvals, debt collections, and open banking. The intern will work closely with the partner to understand the banking process and opportunity. The partner organization will receive several benefits from working with the […]

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Summer-season streamflow prediction model for the Oldman River Basin

Reliable monthly and seasonal streamflow predictions are essential for optimal planning of water resources, particularly for reservoir operation and planning applications. Streamflow predictions can also improve water use efficiency and provide early drought and flood warning. The importance of streamflow forecasting is rising with climate change, causing more frequent and hazardous flood and drought events. […]

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XFEM-based fatigue crack growth simulation and surrogate model development for probabilistic remaining fatigue life prediction of pipelines

Pipelines have significantly contributed to the Canadian energy industry and overall economy. Specifically, nearly 60% of energy consumed in Canada comprises of oil and gas delivered through pipelines. However, in pipeline steel, many failures were caused by cracks during pipeline operation. The proposed research project aims at developing a reliable and effective tool to predict […]

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Automatic Verification of Comparators and Hash Functions

The implementation of data structures usually requires checking for certain mathematical properties such as equality. Those properties are usually implemented in methods that reason about the objects stored in these data structures. However, the implementation of such methods is fairly complex, and may exhibit software bugs that may not necessarily lead to program crashes. Therefore, […]

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