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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ProNotes Internship

The summer internship student will be responsible for computing, presenting, and performing the verification of the design of the design. Prior to being able to test the usability of the application the signal processing feature must be developed so that it is deployable on a mobile device that first obtains the raw data from the […]

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Standardizing processes for customer support experience

RetinaLogik Biotech Inc. is a social enterprise based out of Calgary, Alberta. We believe everyone deserves access to quality vision care: With RetinaLogik software, life-changing eye exams can be delivered on intelligent and portable devices at a fraction of the cost. As we approach our launch, we see this as excellent timing to bring on […]

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Developing trajectory predictions for AI-enabled psychiatric clinical decision support systems – Aifred Health

Aifred Health has developed an AI-powered clinical decision support system to support doctors treating patients with depression, which is currently under clinical trial. This project aims to improve Aifred’s existing offering by developing technology for trajectory predictions. This technology can be used for several applications involving time-series data, including tracking patient treatment progress. This will […]

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Working for a Member of Parliament: Understanding the Role of Political Staff in the Representation Process

This research project investigates the role of political staffers in Canada’s representative democracy. Working with the leading expert on political representation, Dr. Sarah Childs (University of Edinburgh), this project explores how political staffers contribute to the process of political representation. Political staff are the first, if not only, point of contact for constituents. This project […]

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Forex data gathering and analysis acceleration and trend prediction

A prototype Forex currency trading system has demonstrated a proof of concept on a static data set. The current project proposes to implement the trading system for real-time applications using the tools of predictive analysis, As data arrives in the trading system it will automatically update the buy/sell recommendations with estimates of probability of success. […]

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Data Driven Transit Signal Priority Reliability Analysis

This study will analyse Calgary Transit’s bus operations on The City’s road network. Intersections and road segments will be categorized based on Level of Service (LOS) based performance indicators such as bus travel time and schedule adherence. The outcomes of the analysis will indicate whether a particular intersection needs transit signal priority (TSP) to improve […]

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Effect of corrosion defect on hydrogen atom diffusion, trapping and the resulting cracking of existing pipelines for hydrogen transport

Repurposing existing natural gas pipelines is “a low-cost option for delivering large volumes of hydrogen”, accelerating the realization of full-scale hydrogen economy for energy transition. Hydrogen-steel interactions would induce the so-called hydrogen embrittlement, causing cracking and pipeline failure. The corrosion defect present on the existing pipelines tends to facilitate occurrence of the hydrogen-induced cracking. The […]

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