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 […]

Open pit slope engineering involves balancing economic requirements and risk, where an optimum pit slope design seeks to safely increase the slope angles to minimize the mining of waste, while maximizing ore recovery. In turn, this can reduce the carbon footprint of the operation, as less excavation is required. An optimum slope design must satisfy […]

The reclamation and management of tailings generated during bitumen extraction is important to oil sands industries. Using end pit lakes (EPL) is one of the methods for permanent reclamation of tailings. Lake Miwasin is an EPL that was recently established, and it uses a new treatment technology for tailings’ storage. A pilot-scale demonstration pit lake […]

Naphthenic acids (NAs) represent the primary source of acute toxicity in oil sands process affected water. Due to the seepage potential of NAs from oil sands tailings ponds into the surrounding surface water and groundwater, environmental monitoring of NAs in water samples from tailing ponds, surrounding groundwater and surface water, and groundwater wells became a […]

My project aims to discover a treatment for obstructive sleep apnea (OSA), a disease that affects one billion people in the world. OSA is a serious chronic disorder that happens when a person’s breathing is intermittently interrupted during sleep. This is caused by an obstruction in the airways when muscles in the back of the […]

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 […]

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. […]

The business partner is interested in expanding its understanding of prepayment. Specifically the goal is to predict prepayment risk for mortgages as a function of mortgagors’ characteristics (including data from previous interactions with the bank), and the local economy. In recent years, with the improvement in efficient computing and data storage, the relying on a […]

Nunavut Legal Aid aims to increase the access to justice in Nunavut through the reinstallation of Inuit legal traditions and restorative justice as an alternative to colonial carceral systems. This project will follow a three-phased approach to develop appropriate communication channels for each of Nunavut’s 24 communities; develop a community engagement framework; and consult with […]

Catalytic converters used in car exhausts are effective means of reducing pollutant emissions from internal combustion engines under normal operating conditions. They contain precious metals which makes them attractive for recycling due to their metal value and also the sustainability of the demand for these metals. The price of Catalytic converters can be determined based […]

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 […]

Many companies and organisations are required to engage in community engagement to gather stakeholder feedback. Yet, to date, there are key issues with current stakeholder engagement systems as they are inefficient, manual, and prone to error. The aim of this study is to investigate the current state of artificial intelligence and data visualization techniques with […]