Biomaterial derived dendritic cells for regenerative medicine

This project will establish a commercially viable, regenerative biomaterial-based method for effective, reduced-cost and clinically feasible culture of immune cells for immune cell therapies. Argan Biomedical Technologies inc, partnering with the Sefton lab at UofT, has developed technology that uses regenerative synthetic biomaterials to reduce the use of expensive and otherwise problematic biological components used […]

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JMCC Seating and Mobility Program – Custom Fabrication and Modification

The John McGivney Children’s Centre (JMCC) provides rehabilitation and support services to children and youth with disabilities in Windsor-Essex. One of its key services is Seating and Mobility, which ensures that children have customized equipment—such as wheelchairs and adaptive seating—that helps them participate in daily life safely and comfortably. This project proposes placing a student […]

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Development of a Canadian Drone Supply Chain

The project aims to research the feasibility of designing and building a drone from parts supplied in Canada. The first objective is to build a prototype of a made-in-Canada drone that showcases current technology and incorporates the highest proportion possible of parts from Canada. The second objective is to design a manufacturing process that can […]

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Comparing algebraic invariants of graph-defined ideals

This project will study a relationship between graph (network) theory and algebraic objects known as ideals. Graph theory is a major branch of mathematics with diverse applications to society and industry, including transportation system modelling, social media marketing, and statistical models, among others. To study a graph, one can use the algebraic structure of a […]

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Marketing and Business Development Coordinator

The project will help the Institute of Innovation and Advanced Learning (IIAL) grow the reach and adoption of the Whole-Chain International Standard (WCIS-2025) and its professional designation, Certified Supply Chain Integrity Professional (CSCIP). WCIS is a global framework that helps organizations improve supply chain integrity, transparency, and sustainability. The intern, Rocio, will create targeted marketing […]

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DBSCAN Graph Clustering

Making use of the ever-growing amount of data available is a vital opportunity for many industries and research labs, both in Canada and the rest of the world. The initial exploratory data analysis phase is when many of the hypotheses and our intuitive understanding of a data set occurs. Thus, it is essential that the […]

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Electrifying Bike Sharing Systems: Structural Demand Estimation and Large-scale Optimization

Bikeshare systems around the world are increasingly incorporating electric bikes to expand their coverage and increase ridership. This project aims to apply descriptive and prescriptive analytics to support key operational and strategic decisions in bikeshare electrification. First, we will perform empirical analysis to quantify the spatially heterogeneous impact of electric bike availability on bikeshare ridership. […]

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Optimization of Super Heavy Lift Drone Design utilizing Computational Fluid Dynamics and a Design of Experiments approach

Heavy-lift drones offer promising solutions for challenges in wildfire response, construction, and logistics, thanks to their rapid deployment and lower environmental impact. As Pulshn focuses on developing drones capable of transporting heavy payloads, this research aims to support the optimization of drone design for enhanced performance and reliability. Specifically, the study will explore the aerodynamic […]

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Renfrew Paramedics Minimum Data Set

In collaboration with the Provincial Community Paramedicine Program at Ontario Health, Renfrew County Paramedics is leading the development of a Minimum Data Set (MDS) in an effort to improve CP integration with Ontario Health Teams. This project will focus on the development of a robust data governance framework that includes the development of core data […]

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Development of multimodality imaging and advanced AI/ML algorithms for point-of-care and drug discovery applications

The proposed international research collaboration project aims to develop accurate and efficient image processing algorithms for advanced imaging instrumentation technologies. The overarching goal of the project is towards fully automated microscopy technologies with many strategically important applications for both DGIST (Korea) and McMaster (Canada) such as point-of-care diagnosis in remote communities and drug discovery. The […]

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