Graph Feature-Engineering for Scalable Fraud Detection in Commercial Banking

The goal of the research project is to enhance ATB’s fraud detection by incorporating new graph based features. Initially, the project will be focused on figuring out how to use ATB’s data to build graph features. Once the data is processed, these additional graph variables will be used to improve the existing fraud detection machine […]

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Integrating a mixed energy vector battolyser into a microgrid

Micro and minigrids supplied by solar and wind power are an important solution to remote access to electricity. This project is a feasibility study investigating adding a flow battolyser into a microgrid system. When installed in a micro/ minigrid, the flow battolyser supplies metered electricity and hydrogen gas to homes, small businesses, and community buildings […]

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Advanced Dyes for Printed Organic Photovoltaics

This project aims to develop advanced power sources that can convert indoor light into electricity to operate electronic sensors for the Internet of things. The proposed new technology is termed “indoor photovoltaics”. The aim is to create flexible, lightweight, semi-transparent devices of different colours at a minimal cost. Using new chemistry principles, photoactive material design, […]

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Virtual Healthcare Intervention System

Robin’s Nest Technology aims to develop innovative healthcare software solutions to make healthcare accessible by enabling convenient, secure, user-friendly, and reliable mental health support for diverse populations. Our interdisciplinary team from nursing and software engineering has developed a secured and fully integrated web-based platform and mobile applications to deliver virtual mental health support programs to […]

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Validating a drug resistance marker for a globally important ruminant parasite

The barber-pole worm (Haemonchus contortus) is a parasitic worm of sheep, goats and cattle common in both UK and Canada. Infection of the barber-worm causes reduction in animal growth and milk production in addition to general poor health and high risk of death, costing millions from production losses annually in Canada and the UK. Symptoms […]

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Investigation of CO2 phase behavior in flowlines for CCS processes

Carbon capture and sequestration (CCS) is a practical solution for reducing the overall green house gas (GHG) emission and environmental footprint of the civilization. The CoFlow simulation software developed by CMG is one of the only tools available for predicting the performance of the CCS applications. Generally, there are technical challenges and prediction deficiencies associated […]

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Mobile Devices for Market Research with Reporting and Predictive Analysis

eThor is a startup company that develops applications for mobile devices in the area of e-commerce for wholesale and retail customers, initially in the restaurant industry. The internships proposed in this application relate to the expansion of data gathering, data mining and social network capabilities for the applications development. The data gathered will be transformed […]

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Increasing Engagement and Reducing Barriers to Participation among Immigrant Voters in Canadian Big-City Elections

In this mixed-methods study, we aim to identify specific experiences and institutional barriers that prevent recent immigrants from engaging with and participating in municipal elections in the city of Calgary, Alberta. Using a systematic literature review and data from focus groups and in-depth interviews in Calgary, we will first develop a list of the concrete […]

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A DGGS-based approach for querying, filtering and sorting of Geospatial objects for fast and customizable marketplace results.

Geospatial data (e.g. location of the business branches, fleet of online delivery vehicles) is a crucial part of online marketplaces, as their developers need easy-to-integrate tools that efficiently perform searches across said data. This project will explore novel approaches to improve state-of-the-art searches for objects with geospatial attributes. In this project, interns will develop computer […]

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Use of bacteriophage-derived lysins in combating multi-drug resistant pathogens that cause bovine respiratory disease

Bovine respiratory disease (BRD) is the most important disease of feedlot cattle, which remains the leading cause of disease-induced economic loss in the Canadian cattle industries. BRD is induced by bacterial pathogens including the Gram-negative (G-) bacteria Mannheimia haemolytica, Pasteurella multocida, and Histophilus somni. Even with current prevention and control measures targeting associated pathogens, the […]

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