Assessing statistical bias in credit markets, an application to SMEs

This research project aims to evaluate whether members of minority groups or women face higher barriers to access credit in the small and medium-sized enterprises credit market. The intern will analyze loan-level data provided by the business partner to evaluate whether these biases are detectable in the portfolio of SME loans of the business partner. […]

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From Data Collection, Maintenance and Analysis to Effective Air Traffic Management

Skyplan Services Ltd. is a company active in the air traffic management domain. The company is interested in expanding their current working application by benefiting from advanced technology to develop an integrated environment and solutions for air traffic management in order to provide better service at the international arena. Students to be involved in this […]

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Signal recognition with machine learning using wavelet features

The emerging techniques of machine learning and artificial intelligence are making revolutionary changes in all kinds of the industrial world. As a high-tech business solution company, Quartic.ai uses these modern techniques to help industrial manufactory companies work more efficiently. One of the challenging problems is to make the computer automatically recognize the status and behavior […]

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Electro-fermentation of Lignocellulosic Biomass for High Rate Biofuel Production

There has been a noticeable interest across Canada to deploy new approaches to help address our growing energy needs. Second generation bioethanol production from agricultural and forest residues (named as lignocellulosic biomass), can pave the way for achieving this sustainable bio-economy. Regardless the efforts by ethanol producer companies to develop the technologies of generation of […]

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Breaking the Barriers to Socially Conscious Business in Edmonton

Breaking Barriers to Social Conscious Business in Edmonton is a research project that aims to help the business community in the Edmonton downtown core and beyond better serve their community through socially-conscious business practices by shedding light on what barriers and facilitators business owners face in adopting socially conscious business practices in their day-to-day operations. […]

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Assessing the value of 14-day litter traits in Canadian pig breeding programs to improve piglet survival and overall profitability

Meeting the increasing world food demand is arguably the top priority of the Canadian agriculture industry. Current breeding criteria has increased the number of piglets born/sow/year. However, the lack of a well-rounded breeding program has diminished these effects, as large litter sizes are associated with reduced litter quality, pig performance, and carcass quality. Selecting for […]

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Determination of groundwater effects of the new Foothills Regional Waste Management Center storm-water management system

A new groundwater monitoring will be conducted consistently throughout the precipitation period (May~October) to collected a seasons worth of data around the “Engineered Forest”. The newly collected data will then be compared to historical values of the FRWMF to see if there are any observable differences between the two. This will prove there is no […]

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Development of Dynamic Feature Extraction Techniques for Industrial Process Data Analysis with Application to Optimization of Steam Assisted Gravity Drainage (SAGD) Process

The Operational Excellence (OpEx) team at Spartan Controls is actively involved in several initiatives for developing advanced process control (APC) solutions to the oil sands industry. The OpEx team collaborates with Professor Biao Huang’s research group through the NSERC Industrial Research Chair (IRC) in the Control of Oil Sands Processes program for solutions that require […]

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Operating Strategy for Electromagnetic-based Thermal Recovery Method

Canada has the third largest oil reserves in the world, mostly in oil sands located in the northern Alberta, which is estimated to be 166 billion barrels. Steam Assisted Gravity Drainage (SAGD) has been the only commercially viable in-situ recovery method available to date. Application of SAGD is known to be energy intensive and has […]

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Improving Resource Estimation and Reconciliation with Machine Learning

Models quantifying the grade and tonnage of mineral deposits form the basis of important and costly decisions for planning, optimization and extraction of a natural resource. Models are initially generated from sparse exploration sampling; however, information is continuously collected until resource extraction. Predicted values that reconcile well with true values following extraction instill confidence in […]

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