Additive manufacturing offers new opportunities for designing high performance composite structures. However, sophisticated numerical approaches are required to tackle the complex task of designing structures which take full advantage of additive manufacturing capabilities. The proposed research project aims to apply topology optimization, a numerical approach capable of determining the best shape of a structure, to […]

This is a research project that will explore human’s relationships with houseplants in times of the COVID-19 pandemic and unpack the psychological, sociological, and environmental significance of these relationships. By digging deeply into our relationship with houseplants and creatively telling stories about them, the project seeks to uncover and deepen our connection with nature in […]

The COVID-19 pandemic is caused by SARS-CoV2 coronavirus. This virus which infect cells that are vital in human organs leading to multiple diseases in need of timely medical treatment. There is a great need in search of inhibitors to block such viral infections as a means for disease prevention and/or treatment. Cannabinoids, such as cannabidiol […]

Mushrooms represent a source of diverse medicinal compounds that have been exploited for centuries. Beneficial compounds have proven efficacy against disease, including anti-fungal, anti-viral, anti-tumoral, anti-bacterial traits. These compounds, along with potential for new discoveries, drive the exploration of mushrooms as a powerful medicinal source and supports their application in the health sector to discover […]

The immersive software market, which includes virtual, augmented and mixed reality, is expected to see tremendous global growth over the next five years as players from all sectors race to identify and capture market opportunities of the technology. This project investigates into the business and technical aspects of immersive training and maintenance applications by taking […]

Municipalities are seeking ways to reduce the effects of uncontrolled rainwater and one of the primary contributors to the problem is residential downspouts. Downspout disconnections and redirections are low-cost ways to reduce the overall imperviousness of urban and suburban landscapes and ameliorate stormwater issues. This project will use machine learning to analyze Google street view […]

Groundswell, a Toronto-based design consultancy, is seeking to understand, study and experiment with new non-hierarchical organization structures. In partnership with UofT’s Business Design Initiative research team, they will investigate and experiment with the redesign of for-purpose and value-driven organizations to better respond to today’s economic climate described as volatile, uncertain, complex and ambiguous or VUCA. […]

The project aims to examine the effectiveness of a leadership development program to increase competence and confidence of Female Apprentice Coaches to lead in sport in the Canadian Collegiate Athletic Association. Th leadership development program looks to increase knowledge and practice of effective leadership skills while addressing common barriers women face in sport and sport […]

On June 3, 2019, the National Inquiry into Missing and Murdered Indigenous Women and Girls (MMIWG) released its Final Report. Among its 231 recommendations, Calls for Justice 5.7 and 9.2(iii) urge the federal, provincial, and territorial governments to take specific steps to strengthen civilian oversight of police services by ensuring stronger Indigenous participation in police […]

Solid-state nanopores—small holes in thin membranes comparable in size to individual molecules—are promising candidates as sensors with which to revolutionize DNA sequencing, personalized medicine, point-of-care diagnostics, and next-generation information storage methods. A method by which these nanopores can be fabricated on an industrial scale was recently invented, but challenges remain, particularly in quality-controlling source materials […]

Spinal cord pathology causes significant burden to the individual and society-at-large. Treatment is complex and made more difficult by difficulties in clinical imaging of the cord microstructure. Using recent advances in image acquisition techniques and image processing toolsets, this project will investigate a semi-automated pipeline to visualize boundaries of spinal cord pathology for the purpose […]

The proposed work is an application of artificial intelligence and medical imaging. When positioning a dog to have an X-ray image taken of its paw, a neural network trained in canine anatomy can be configured to inform radiologists if the patient’s paw is improperly placed or even drive motorized hardware to automatically center the patient’s […]