Multidisciplinary automated design-optimization (MDO) is a rapidly growing field of interest in sectors as diverse as architecture, engineering, science, and more. Often the computational cost of doing such optimization can be staggeringly high, requiring hundreds of computers connected through high-performance networks with complex custom designed software to support it. To address these problems, we propose […]

This project will develop computer-based decision support tools for portfolio constructions for retail investors. The tools will enable investors to access powerful quantitative frameworks for structuring investment portfolios as well as analysing existing portfolios in terms of risk and return. Typically, these tools have been only accessible to institutional investors or large financial institutions but […]

Imagine a world where youth with Intellectual and Developmental Disabilities (IDD) and mental health concerns can access tailored mental health services with ease. Collaborating with Sunnybrook Hospital, this research aims to make this a reality by addressing the challenges faced by transitional aged youth with IDD’s through a family focused navigation approach. Family Navigators are […]

Involving some of the smartest students in Ukraine, the research project and partnership will enrich the Master of Global Affairs and Master of Public Policy programs at the Munk School. KSE students will provide Munk community a window into the Ukrainian policymaking process as well as a more general understanding of governance during conflict. Simultaneously, […]

Canada’s rapidly ageing population has drawn attention to the housing and care needs of older adults. Supporting older Canadians to age in the right place will require innovative housing models and infrastructure that can support their independence, safety, health and social well- being. One such model is Naturally Occurring Retirement Communities (NORCs), which integrate health, […]

This project will investigate machine learning methods to organize and discover the vast literature on biomedical science. First, it will focus on named entity recognition–the task of finding and classifying entities in text documents–on large collections of abstracts and full-text of research papers and investigate semi-supervised learning methods to leverage large collections of unlabeled research […]

When workers experience poor mental health, it has significant costs for both individuals and the economy. It affects their overall well-being, income, and productivity (e.g., sickness absences). Workers with poor mental health need access to adequate mental health services. Thus, this study examines the impact of seeing a psychologist or social worker for mental health […]

The lack of correspondence between the clinic setting and real world listening environments may explain, in part, why hearing instruments optimized in the clinic often result in poor adherence of hearing instruments in everyday life. To address the disconnect between communication in everyday listening situations where talkers often speak with emotion and audiology clinics where […]

My project’s goal is to improve the model, which predicts in real-time zones, where it is safe to dissect during laparoscopic surgery. I am going to work on the ways to mitigate tool bias of the current model, as it presence could result into misleading of the surgeon, who performs an operation and, as a […]

pointA is seeking an intern to provide a marketing and sales support to develop a strategy to expand its Best Workplaces for Commuters designation, which was developed by the US Department of Transportation and Environmental Protection Agency in 1999. pointA is the first Canadian partner to bring this designation to Canada to provide employers of […]

The way humans perceive their surroundings relies heavily on some sort of decomposition of those into smaller atomized entities (objects, or parts of objects). This allows for complex reasoning and prediction capabilities which are mostly seen as mundane in humans but are still a challenge to propagate to artificial systems. My project wants to explore […]

The project objective is to design and manufacture ultrasonic sensors capable of operating at temperatures up to 800 oC. Such transducers can be affixed to hot piping systems and pressure vessels in petrochemical plants, electrical power generating stations, and manufacturing plants. These sensors can then provide continuous information to the plant operator regarding the onset […]