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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Hybrid Modeling of Chromatographic Systems

Chromatography is the workhorse in biologics manufacturing processes, where its performance significantly contributes to the quality outcomes of the batch, and therefore must be carefully controlled. Process modeling and simulation is the best way to provide control to the process. This proposal aims to develop a hybrid chromatography modeling approach, utilizing state-of-the-art machine learning method, […]

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Solving the accessibility issues at primary care clinics in Canada by introducing a self scheduling booking application

Accessibility and availability are major factors of an effective health care system. Though Canadians have free access to medically necessary services, there are accessibility issues at primary care clinics such as long wait times, language barriers for new immigrants, lack of proper information about clinics and doctors, and so on. Waiting for a primary healthcare […]

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Sustainable solution to chronic housing needs in the Canadian North

As Canada’s economy and population continue to rise, primarily due to substantial immigration, there is an urgent need for new infrastructure, in particular, in remote regions of Canada. This can be achieved through advanced technologies to improve productivity of the Canadian construction industry while reducing the environmental impact of construction. This project proposes the Self-Deployable […]

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MEV protection through delayed execution and time-locked puzzles

Blockchain technology is, by nature, transparent and decentralized. However, transparency can sometimes be a direct threat to the system’s decentralization when most of the profitable transactions get stolen by several high-power entities. This de-incentivizes new users from using the system and renders the whole system useless. In this project, we aim to guard decentralization against […]

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Synthesis of Degradable CO2-Based Polymers for Water Treatment

Carbon dioxide is produced from the combustion of fossil fuels and as a by-product of many chemical processes. The increasing concentration of CO2 in the atmosphere has now been decisively linked to global climate change. The use CO2 as a carbon-building block has attracted much attention due to its low cost, ease availability, and its […]

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