This project focuses on using deep learning techniques and AI for medical image processing, optimizing these techniques to maximize efficiency and accuracy in processing large sets medical data. This project specifically aims to improve generalization and explainability of deep learning models used in medical imaging, focusing on medical image segmentation to explore how current medical […]

This project will help Avonhead Electric build a repeatable, data-driven way to finance EV charging infrastructure. The intern will turn Avonhead’s current manual, one-off deal work into a standardized underwriting and reporting system by creating (1) a risk scorecard that combines traditional credit metrics with real-world charger performance data (like uptime and utilization), (2) a […]

Solid-state hydrogen storage in MgH2 has strong potential due to its high energy density, but it is limited by technical constraints. Dehydrogenation requires high temperatures (300–400?°C), which are unsuitable for many applications, and the hydrogen release kinetics remain slow because of the low diffusion within the crystalline structure. To address these challenges, our project adopts […]

This project will develop new bio-based materials to support the removal of persistent organic pollutants from water using light-driven processes. The research will focus on creating porous, plant-protein-based aerogels that can act as stable platforms for immobilizing photocatalytic materials, making them easier to handle, recover, and reuse in water treatment applications. By combining these bio-derived […]

This project aims to develop intelligent control systems for robotic exoskeletons that can better assist human movement. Using artificial intelligence, specifically deep reinforcement learning, the project will train controllers in advanced computer simulations that model both the human body and the robotic device. Muscle activity signals (EMG) will be incorporated so that the exoskeleton can […]

This project aims to improve how polymer-based solvents are modeled during freezing and solidification processes that are critical to modern semiconductor manufacturing. Building on prior experimental and theoretical studies (i.e., the collaborative work from participated institutions), the project will develop an accurate and reliable computational framework that captures how heat transfer and mechanical stresses interact […]

Quantitative LUS (Q-LUS) is a safe, real-time imaging tool that exploits the frequency dependency of imaging artifacts to extract biomarkers that characterize the lung disease. However, the direct relationship between Q-LUS biomarkers and the severity of lung injury remains insufficiently characterized. Without this grounding, Q-LUS metrics remain difficult to interpret and cannot be linked to […]

This research project explores a fundamental anomaly in fluid mechanics: the potential for simple liquids to exhibit solid-like elasticity under extreme conditions. Conventionally, Newtonian fluids are understood to lack elasticity because they dissipate deformation energy almost instantly through viscous flow. However, research demonstrated that liquid glycerol exhibits “rubber-like” elasticity when subjected to ultrafast, high-strain-rate laser […]

Transportation policy is already a health policy because the air we breathe along roads is shaped by what we drive and how we move. In 2026, Canada and the US’s renewed push for electric vehicles (EVs), which can also become an immediate public health opportunity. Yet health benefits are not automatic, because “zero tailpipe” from […]

My project will develop and pilot a practical framework to evaluate one clinical AI tool across three areas at the same time: how well it works, whether it works equally well for different patient groups, and what its environmental impact is. I will use the University of Melbourne’s Validitron simulation facility to test the tool […]

This project addresses Canada’s urgent need for sustainable extraction of strategic materials, particularly nickel and cobalt from mining waste streams, essential for electric vehicles, batteries, and renewable energy technologies. This 18-week internship focuses on developing breakthrough electrochemical technology to recover critical minerals from pyrrhotite tailings while generating green hydrogen. The research intern will work on […]

This project will compare how Canadian and Chinese primary and secondary schools teach students aged 10-15 to develop global competence, understand and engage with the world. By observing classrooms in China and conducting a document analysis of the Ontario curriculum, the research aims to identify the most effective teaching methods from each context. The primary […]