Tree retention in harvests: A tool to accelerate forest birds’ recovery

Approximately one-third of songbird species which migrate to the Canadian boreal forest to breed require older forests for nesting and foraging. In Alberta, older boreal forests are altered by ongoing industrial activity, such as logging; the birds that rely on these habitats are sensitive to this change. Forestry companies are constantly developing and testing new […]

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Swine feed efficiency improvement and meat quality co-selection using genome wide technologies

Improving feed efficiency (FE) and meat quality (MQ) are Canadian swine industry priorities that will increase sustainability and competitiveness. It is difficult to improve these traits simultaneously by traditional breeding methods due to limited knowledge of genetic interactions, limitations on animals that can be measured and the high cost of measurement. High throughput genomic technology […]

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Swine feed efficiency improvement and meat quality co-selection using genome wide technologies Year Two

Improving feed efficiency (FE) and meat quality (MQ) are Canadian swine industry priorities that will increase sustainability and competitiveness. It is difficult to improve these traits simultaneously by traditional breeding methods due to limited knowledge of genetic interactions, limitations on animals that can be measured and the high cost of measurement. High throughput genomic technology […]

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Personalization with Integration of Sensor Signals in Cloud Architecture

$50B of unrealized GDP will occur by 2030 in Canada if the skill gap challenge is not addressed. With the acceleration and uncertainty of a borderless economy, Employers, Educators and Jobseekers will continue to be in constant flux. The greatest cost to Small & Medium Sized Businesses (SMBs) is the hiring, skilling and training of […]

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High-performance Machine Learning Models for Financial Forecasting

Reliable long-term and short-term financial performance predictions are crucial for financial corporations to make major financial decisions and assess their financial health. Our work will develop high-performance machine learning models to detect the underlying drivers of various financial affairs such as balance, revenue, expense and cash flow, etc. And effectively using these key features to […]

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Optimization of plant sources grinding process and their food applications

In recent years, plant-based food products, such as plant-based beverages, ice-cream, and yogurt, have been much admired by health and environment conscious consumers due to their sustainability and health benefits. This industrial collaborative project aims to optimize grinding processing to treat plant proteins of different sources to achieve sufficient particle size reduction, while avoiding the […]

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Leading Indicator Generation from Cryptocurrency to Detect Fraud

The goal is to understand the behavior of cryptocurrency chains when fraud amounts are transferred from the MasterCard network to cryptocurrency exchanges. Based on this understanding, we need to come up with an Index score or Leading indicators of certain pattern that indicates high fraudulent activity in the MasterCard network. We need to build such […]

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Modelling Ronald Lake Bison Population Carrying Capacity and Habitat Supply

Free-ranging and free from bovine tuberculosis and brucellosis, the Ronald Lake wood bison population in northern Alberta has ecological, cultural, and spiritual importance. The ongoing sustainability of the population requires stewardship and management that aligns with the goals of Indigenous governments, provincial and federal governments, and other interested parties. Partnering with The Firelight Group, alongside […]

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How tree diversity influences soil carbon and nitrogen accumulation in Canadian forests

Increasing soil carbon and nitrogen storage is critical for mediating climate change and sustaining soil fertility. A large number of biodiversity manipulation experiments have collectively suggested that high plant diversity increases soil carbon and nitrogen stocks; however, it remains untested whether such conclusions hold in natural ecosystems. We will analyse Canada’s National Forest Inventory database […]

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IFRS9 Expected Loss Models and SICR, an Alberta Perspective

Regulatory changes in accounting standards implemented in 2018 (rules IFRS 9) require that banks’ provisions (i.e., reserves set aside to cover future losses) are evaluated in a forward-looking manner, considering carefully-designed projections of the macroeconomic environment. Further, should a financial instrument experience a substantial risk increase, the methodology to calculate reserves must become more conservative. […]

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Dual Eye-tracking for Measuring Surgical Team Cognition

Team collaboration is important for performing image-guided surgery, including laparoscopic surgery. Therefore, training healthcare providers in a team setting is critical for the success of laparoscopic procedures. To improve the quality of any team training program, we need to develop a reliable assessment instrument to measure team performance. The currently available team assessment tools are […]

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