This project focuses on developing advanced catalysts for green hydrogen production by using MXene, a highly conductive nanomaterial, as a support for oxygen evolution reaction (OER) catalysts. Efficient and durable OER catalysts are essential for water electrolysis, a key technology for producing hydrogen as a clean energy source. By combining expertise from the University of […]

Cyber-physical systems (CPS) are made of software components interacting with their physical environment. They are used in many domains: Automotive, energy, healthcare, and many others. Within the automotive domain, the need for software is expanding. Software is transitioning from supporting infotainment systems to driving functionalities (e.g., cruise controller, automated pilots). As the need for software […]

This project is focused on developing a novel, plant-based appetite suppressant called ZAP-010. Originally synthesized for agricultural use, ZAP-010 is a phytohormone that we have shown to reduce food intake and promote sustained weight loss in rodent models. Over 60% of Canadian adults are classified as overweight or obese and current treatment options, such as […]

This project supports the commercialization of INSITE (In Situ Tissue Engineering Bioprinting System), a handheld bioprinting platform developed in the Guenther Lab at the University of Toronto. INSITE enables point-of-care delivery of personalized bioinks directly into skin wounds, offering a novel, autograft-free alternative for treating full-thickness burns and chronic wounds. Current gold-standard treatments rely on […]

Geotab is a global leader in IoT and connected transportation, providing data-driven insights for fleet management. Collecting over 4 billion data points daily from 4.5 million connected vehicles, Geotab’s AI Platform team focuses on leveraging machine learning to enhance data accessibility, fleet intelligence, and operational efficiency. A key challenge is improving user interaction with complex […]

This project aims to uncover the design principles of biological networks, such as blood vessels in the kidney and brain, by developing automated tools to analyze high-resolution 3D images of human embryo vasculature. Using advanced imaging techniques and deep learning, the research will create efficient methods to study how these networks efficiently transport nutrients and […]

Harnessing Solar Power for Smarter Energy Use: This project introduces a passive solar energy switch that automatically adjusts how it uses sunlight based on temperature, without electricity or moving parts. It relies on a Fresnel lens that focuses sunlight. When temperatures are low, water condenses on the lens, causing solar transmission and heating. When temperatures […]

Neurodegenerative diseases like Alzheimer’s and Parkinson’s cause cognitive decline, motor impairment, and emotional distress. While pharmacological treatments exist, music therapy has shown promise in alleviating symptoms. This project enhances music therapy using AI, making interventions more accessible and personalized. This project aim to develop an AI-powered wearable system that personalizes music therapy based on emotional […]

Research at the Lymphoma Lab is driven by the observation that the outcomes of lymphoma are extremely variable with some patients seem cured or enjoying long remissions while others experience relapse. Treatments that directly target the underlying therapeutic vulnerabilities of a patient’s lymphoma remain unavailable [1]. Lymphoma Lab wants to change this. A comprehensive understanding […]

Oculum is developing a new technology to make eye surgeries safer and more efficient by eliminating the need for chemical dyes. Currently, surgeons use these dyes to see delicate eye tissues, but they come with risks like retinal damage and complications, and they don’t always work reliably. Our solution provides a safer and more consistent […]

CHAH’s mission is to revolutionize healthcare by enabling personalized, proactive home care. Using AI and sensor technology, CHAH transforms homes into intelligent health monitoring environments, tracking physiological and behavioral indicators to detect early health risks and enable timely intervention. Its flagship initiatives include AI-driven predictive healthcare models, real-time sensor fusion, and secure platforms for seamless […]

Comprehensive Healthcare at Home (CHAH Technology) is dedicated to transforming home-based healthcare using AI and sensor technologies. The partner organization aims to address the critical challenge of delivering high-quality, affordable care to aging populations in Canada, where rising healthcare costs and system inefficiencies are threatening sustainability. Through this project, CHAH will develop the CHAH Intelligent […]