Slice Finder: Application to Stress Testing

The project aims to use state-of-the-art machine learning techniques to perform model validation. In particular, the intern will validate outcomes from risk assessment models for loan portfolios. The results will be employed to further the efficiency of ATB’s internal stress testing models. The benefit for ATB financial will be the possibility to detect subsamples for […]

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Techno-economic Evaluation of Electric Energy Storage Options toImprove the Commerciality of Suncor’s Wind Farms

In recent years, many energy producers have developed wind farms in Alberta due to their economic and environmental advantages. One of the most significant challenges of wind farms is that wind is an intermittent resource that is uncontrollable and difficult to predict. As such, wind developers are looking to develop electric energy storage (EES) systems […]

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Advanced AI for Demand Forecast in Fashion and Apparel Retailing

The ultimate objective of the project is to develop an AI-based framework addressing the forecasting needs of a typical fashion and apparel retailer. The project activities involve development of models predicting demand for particular fashion and apparel items in the context of different customer groups, as well as techniques for identifying fashion trends. The developed […]

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SPT-based Methods for Estimating Installation Torque and Capacity of Helical Piles

Helical piles are extensively used across Canada in various engineering applications. Current design methods estimate the axial capacity of helical piles using soil strength parameters when site investigation is available. Alternatively, helical piles can be designed from an empirical torque correlation when installation torques are available. However, it will be more valuable to the industry […]

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Integrity and Analytics of Energy Market Data

ReWatt Power facilitates transactions of green energy derivatives/green attributes such as Alberta Carbon Offsets. The company uses a blockchain technology to manage all transactions on their platform. This way, all parties have access to the transaction history in a database they own, and the transactions are immutable. The first objective of this project is to […]

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Sour and Sweet Corrosion Resistance of Alloys and Coatings

The oil and gas industry often contain a certain amount of CO2, H2S and chlorine compounds. H2S can cause sour corrosion and sulfide stress cracking (SSC) of stainless steels. Failures due to H2S are usually sudden with no warning. SSC is the worst type of corrosion in the presence of H2S. Many methods have been […]

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Geological and Geochemical Controls on the Source of Hydrogen Sulfide (H2S) in the Early Triassic Montney Tight Gas Reservoir, Northeast British Columbia, Canada

The Montney Formation in the Western Canadian Sedimentary Basin (WCSB) is a productive low permeability natural gas reservoir. Alongside natural gas, it contains high concentrations of hydrogen sulfide (H2S) gas, which is both economically and environmentally detrimental to the exploration and production of natural gas from the reservoir. This research proposal aims to examine the […]

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Responsive polymer-based sensing system for COVID-19 infection

Monitoring hormone levels in saliva can be used to assess female reproductive health, which can yield many benefits to individuals. For example, those that have fertility issues can use hormone levels in saliva to improve their chances of conception, while the monitoring hormone levels over time could also be used to track and help treat […]

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Material and Structural Performance of Nano-Carbon Based Ultra-High-Performance Fiber Reinforced Concrete

This research aims to thoroughly evaluate a new revolutionary generation of advanced cementitious materials: CNF-UHPFRC. It is composed of several phases that target to assess this competitive material at several levels and optimize it. One of its important and distinctive aspects is to tailor its constituents, correspondingly price, for each specific application, while maintaining the […]

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Gulo Gulo Vision-based navigation for autonomous vehicles

The Gulo Gulo project objective is to improve the navigation algorithm utilized by the onboard motion sensors of AV/CVs to achieve positioning accuracy of less than 1% of the distance travelled with standalone INS solutions. The standalone solution will be aided with visions sensors (camera, LIDAR and RADAR) in addition to integrated system fusion with […]

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