This project aims to develop an animated educational video on the effects of changing ocean conditions on global disease vulnerability and displacement, with an emphasis on visualizing not only the growing burden of disease due to the climate crisis but also how this burden is inequitably distributed through mechanisms of displacement and risk exposure. Aligned […]

The Children’s Aid Society of Toronto (CAST) is responsible for delivering high-quality child welfare services and supporting frontline workers who make complex, time-sensitive decisions affecting child safety and family wellbeing. While CAST has invested heavily in improving documentation practices and data systems, frontline staff still lack practical, accessible tools that help synthesize narrative case notes […]

This project aims to advance the commercialization strategy of a closed-loop microneedle-based biosensing platform for real-time therapeutic drug monitoring. The technology integrates hydrogel microneedles with electrochemical aptamer-based sensors to continuously measure drug concentrations in interstitial fluid and enable adaptive dosing. Initially developed for vancomycin monitoring, the platform addresses critical limitations of conventional therapeutic drug monitoring, […]

The project advances the development of an AI-based system for automatic cutting tool condition characterization using machine learning and machine vision. It addresses the limitations of indirect tool wear monitoring by enabling direct, image-based wear analysis both on- and off-machine, with a focus on reducing downtime and improving tool utilization. A key challenge is adapting […]

This project explores two critical areas of AI research: cybersecurity for Internet of Things (IoT) systems and responsible AI assistants for education and research. IoT devices, widely used in healthcare, smart cities, and industry, are highly vulnerable to cyberattacks due to limited resources and large-scale connectivity. We propose AI-based intrusion detection systems that are lightweight, […]

Laser-driven plume formation is a process relevant to fluid dynamics, laser surgery, and materials processing. In photomechanical spallation, high-intensity laser pulses rapidly deposit energy into a liquid, triggering shock waves, phase transitions, and bubble formation. Although much is known about these phenomena, significant gaps remain in understanding how Newtonian fluids (e.g., glycerol and water) behave […]

Modern computer systems increasingly rely on shared memory technologies that allow multiple components, such as processors and accelerators, to access the same data. Compute Express Link (CXL) is a new industry standard designed to enable this kind of shared memory while preserving important correctness guarantees. While formal models describe how CXL systems are expected to […]

This project develops specialized computer hardware to process data from advanced quantum cameras in real-time, enabling breakthrough applications in medical imaging, biological research, and astronomy. The work addresses a critical limitation in current quantum imaging systems, which must record data during experiments and analyze it later. This is a time-consuming process that prevents researchers from […]

This project focuses on validating a next-generation green hydrogen production technology and advancing its path toward commercialization. Green hydrogen is widely recognized as a critical solution for reducing greenhouse gas emissions in industries such as chemicals, energy storage, manufacturing, and transportation. However, today’s green hydrogen production methods are still expensive and energy-intensive, limiting large-scale adoption. […]

The combination of electrochemical sensing with miniature fluid handling systems (microfluidics) can lead to the creation of a miniature and portable all-in-one analytical platforms or “lab-on-a-chip”. Lab-on-a-chip technology is used in a variety of sectors, including healthcare (e.g., medical diagnostic tests) and the environment and natural resources (e.g., remote monitoring & sensing). However, electrode fabrication […]

This project will evaluate a new material designed to selectively capture lithium from battery recycling solutions and lithium extraction streams in a cleaner and more efficient way. Current recovery methods often rely on high chemical use and energy-intensive processes that increase cost and environmental impact while recovering lithium inefficiently. The project will work directly with […]

This four-month project will support the early development of a home-use wearable approach for hallux valgus by reducing key market and validation uncertainties. The work will focus on structured discovery with clinicians to understand real-world needs, current practice patterns, safety expectations, and usability requirements for potential home use. In parallel, the project will review existing […]