Statistical machine learning for urban transportation system

In general, the goal of project is to investigate the train travel data and figure out the main factors affecting train travel time. Moreover, we will use machine learning algorithms to predict their arrival time to stations and forecast when delays will happen. Specifically, to figure out what factors are affecting train travel times, we […]

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Supercritical carbon dioxide processing for the production and standardization of isoflavone extracts from red clover

This project aims at investigating the use of the eco-friendly solvent, supercritical carbon dioxide (SCCO2), alone or in combination with ethanol and water, to obtain extracts rich in isoflavones from red clover plant. Firstly, SCCO2 will be used for obtaining extracts containing a high concentration of isoflavones. Then, SCCO2 will be applied to the extracts […]

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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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CCREST: Cold Cracking by Resonance Energy for Sustainable Technologies – Year two

The project is a demonstration of Advanced Energy Technologies (AET)’s patented refining process for upgrading heavy oil products without diluent or extreme heat treatments. This produces lighter, higher value oil that is easier to work with throughout the process stream, with greater efficiency and less cost. AET will be conducting demonstration runs of the Hydrogen […]

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Production of animal feed using Methylophilus methylotrophus

This project aims to identify an efficient fermentation strategy that will enable Cvictus to generate a protein-rich animal feed using methanol as the nutrient source. The key advantage of the production platform proposed by Cvictus is the use of a proprietary technology that can convert coal to methanol with ultra-low CO2 emissions. Initial research in […]

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Dynamic Credit Scoring

Banks use a myriad of methodologies to inform their officers on credit extension decisions. One of the most employed approach is to summarize borrower creditworthiness by credit scores, which in turn depend on loan default probabilities. The probability of default depends both on borrower characteristic and on the overall state of the economy. The goal […]

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Forecasting Ability of Non-consumer Scorecards and their Ability to Predict Probability of Default

International Financial Reporting Standards (IFRS) for loss allowances are changing, and financial institutions are proactively adapting existing methodologies and developing new ones to remain compliant. The main ingredient in the myriad of evaluations that banks are required to perform for compliance is risk assessment. The first goal of this research project is to review best […]

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Single fit bespoke bra for atypical breast dimension and shape

Many women face large hurdles when looking for a bra that is fitting, supporting, and comfortable. This is especially true for women with oversized breasts or who have undergone mastectomy. In additional to emotional distress and poor self-esteem, the lack of fitting and supporting bra may lead to back and chest pain, and negatively impact […]

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Evaluating anthropogenic impacts on arctic breeding raptors

Peregrine falcons (Falco peregrinus) and rough-legged hawks (Buteo lagops) breed throughout the Canadian Arctic. Several monitoring programs were established in the 1970’s and 1980’s to evaluate the recovery of these and other raptors following the banning of DDT. DDT is a pesticide that was once widely used, but resulted in severe population declines in many […]

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Drivers of Time to Resolution, Application of LASSO Regression and Random Forest

International Financial Reporting Standards (IFRS) for loss allowances are changing, and financial institutions are proactively adapting existing methodologies and developing new ones to remain compliant. The main ingredient in the myriad of evaluations that banks are required to perform for compliance is risk assessment. The first goal of this research project is to review best […]

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