Surgical trainees, our primary users in medical schools and teaching hospitals, face a critical barrier: limited access to consistent, expert-guided, hands-on practice. This limitation originates from the constraints of the conventional surgical training model, which depends heavily on the physical presence of expert surgeons. To address this limitation, we are constructing a robot-assisted surgical training […]

Medical imaging is vital to modern healthcare, yet high costs and limited access slow patients’ paths to diagnosis. Radiologists often correlate imaging findings across multiple imaging modalities and sequences to arrive at a specific diagnosis, but each extra scan or sequence increases scanner time, healthcare costs, wait-list pressure, radiation for ionizing exams, and energy use. […]

This project aims to strategically grow Road Ally, a new mobile app that connects drivers facing roadside emergencies with nearby helpers, offering a faster and community-based alternative to traditional services. The intern will conduct market research and develop data-driven strategies to attract more users and helpers, and explore new ways for the app to generate […]

This project explores the commercial potential of a new therapy using adiponectin-enriched extracellular vesicles (Adipo-EVs) to treat age-related cardiometabolic diseases, focusing on stakeholder discovery, market fit, and commercialization planning.

The global manufacturing sector is shifting towards high-mix, low-volume (HMLV) production. While large corporations can invest in advanced automation, Canada’s small and medium-sized enterprises (SMEs) face a significant “adoption chasm.” This gap is driven by prohibitive upfront capital costs for robotic systems, a critical lack of in-house programming and maintenance expertise, and the financial risk […]

The ability to hear, and the quality of our hearing, depends on the health of the eardrum. Eardrum perforations due to diseases and accidents can be treated using grafts, such as autologous grafts, allografts and xenografts. These replacements suffer from various limitations such as donor site morbidity, long operation time and healing time, and risk […]

Cities and lighting companies currently spend weeks and tens of thousands of dollars to create new plastic lenses every time a different streetlight beam is needed or when light pollution must be reduced. Our design is a simple film that sticks to the front of an LED and updates the light patterns quickly—no new lens […]

This project will advance the development of AR-CAD, an innovative augmented reality (AR) design tool that allows engineers to create and manipulate 3D models in real-world scale using a headset. Unlike traditional CAD tools that rely on 2D screens and complex interfaces, AR-CAD enables intuitive, hands-on design, helping users visualize and validate parts more quickly. […]

Healthcare systems operate as complex socio-technical environments, involving unpredictable interactions among patients, clinicians, technologies, administrators, and institutional policies. These systems are often under significant pressure to improve performance, reduce costs, and enhance patient safety—yet they frequently lack the tools to simulate the consequences of operational decisions before implementation. Traditional approaches like retrospective analysis or static […]

The Artificial Intelligence Integrated Medical Media Suite (AIIMMS) is a smart, AI-powered crash cart designed to support emergency response teams during coding events. By integrating live video, audio, patient biometrics, and patient electronic health record data into a centralized interface, AIIMMS can help reduce the cognitive load and enhance clinical decision-making in real time. The […]

This project initially targets drug discovery labs, with long-term plans to expand into broader biomedical research. As AI becomes integral to scientific work, we aim to build a custom AI assistant that goes beyond basic chat support, capable of running code, executing ML/DL pipelines, and assisting with lab-specific tasks.

Brain-Computer Interfaces (BCIs) are a revolutionary technology with the potential to significantly improve the lives of individuals with neurological disorders, but their long-term use is severely limited because the implants often fail within a short period. This project, a collaboration with Queen’s University, aims to solve this critical problem by developing and commercializing “Neuro-Integrated Carbene […]