The Academic Physician Retirement Project

This research project will investigate retirement planning among academic physicians within the Department of Medicine (DOM) at the University of Toronto. The overall objective of this project is to investigate the range of perspectives held by members of the DOM about retirement and to develop a later career transition assessment tool that will facilitate institutional […]

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Caffeine, genetic variation and athletic performance

Caffeine is among the most widely consumed performance enhancing substance used by athletes at all levels. However, studies that have investigated the effects of caffeine on athletic performance report inconsistent findings and the role of an individual’s genetic make-up in influencing how a person processes caffeine is becoming increasingly important. As a result, there is […]

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Design for Situation Awareness in Future Power Grid Operations

The Independent Electricity System Operator (IESO) coordinates electricity generation and transmission to ensure a reliable and stable electricity supply for the province of Ontario. Human operators monitor the power grid with the help of automated energy management systems. Increasing amounts of data, electricity demand, and renewable generation mean these operators need new tools to help […]

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Neural Network Model for Predicting NBA Shot Outcome

To fully exploit the information in the SportVU dataset, the analytic team at the Raptors wanted to move beyond summary statistics and utilize state-of-the-art machine learning algorithms for dealing with dataset of this magnitude. Specifically, one task of interest is “shot outcome prediction”. Given all the information up to the release of shot, can we […]

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Investigating QUBO-Compatible Algorithms for Trading and Scheduling Optimization Problems

This project attempts to develop new solution to two problem types that are known to be intractable optimization problems. These include a scheduling problem, the PSP (Project Scheduling Problem), and a problem found in trading (leg-pricing). These problems are investigated to evaluate the applicability of recently developed quantum annealing processors, which specialize in optimization problems, […]

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Time-aware Network Diffusion for Social Network Analytics

Nowadays, social networks, such as Twitter and Facebook, become platforms where ideas and opinions are constantly exchanged and rapidly reach populations that are geographically dispersed. Many marketing, political, and social campaigns rely on this fact to spread ideas, raise awareness in a massive way, and increase the popularity of products and services. Successful campaigns are […]

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Investigating Social Network Models in Knowledge Building Teacher Communities

This proposed researched aims to examine online Knowledge Building Communities (KBC) for teacher professional development. KBC is a community, which is composed of a group of individuals working collaboratively to create collective knowledge rather than construction of a specific product or completion of a task. There is a commitment among the members of KBC to […]

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A Mixed Methods Cross-Cultural Investigation of Conversational Turn-Taking in Families of Children with Hearing Loss

Parent-child interaction significantly impacts child language learning and influences what is considered appropriate when communicating with others, which can vary from culture to culture. These caregiver-child interactions become extremely important when the child has a hearing loss. However, if the expectations of the family differ from those of the therapist serving the child, there could […]

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Measuring what matters in education

This research project aims to provide a robust account of school performance across Canada by collecting and measuring data on six critical indicators. These indicators are academic achievement, physical and mental health, social-emotional development, creativity and innovation, citizenship and democracy, and school climate. To address this inquiry, survey data will be collected and integrated with […]

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DLVR Drug Delivery Characterization

Highly targeted therapies can be devised to treat a variety of cancers, specifically acting on the mutated genes causing tumor growth. One challenge with such techniques is delivering the therapy to the interior of the cancer cell, when enzymes in the blood can actively break down the therapeutic molecules or when delivery to healthy cells […]

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