This project will support the growth of Take Care, a physician founded SaaS platform that prepares users (and really their families) for aging, sudden illness and end of life. This project focuses on improving how individuals and families move from starting to completing important planning for aging, illness, and major life transitions. While advanced care […]

This 4 month project will establish Sensible Vascular’s first formalized, quality-system-aligned benchtop performance evaluation framework for its thrombectomy catheter and stent retriever system. The project will focus on developing, validating, and documenting five foundational test methods—trackability, tensile strength, torquability, device–device interaction, and reliability—guided by FDA recommendations, ISO 13485 design control principles, relevant literature, and industry […]

This project will support SixthSense Labs, a Canadian medtech startup, in bringing its radar-based gait speed tool from a proven prototype to real-world use across Canada. The tool can measure gait speed in under six seconds without wearables or cameras and gives an immediate report, which could help identify mobility decline and fall risk earlier […]

ARISE is an augmented reality, AI-enabled therapy platform developed by Neuro-Mod to improve chronic neck pain care through engaging, mechanism-informed exercises delivered via lightweight AR glasses and a smartphone. This project combines two goals: (1) clinical pilot evaluation and product refinement, and (2) market launch preparation. During the internship, ARISE will be implemented across up […]

This summer project supports a research exchange between Engineering Science programs at Osaka University and the University of Toronto by creating a shared foundation for future biomedical engineering collaboration. At a high level, the project focuses on how modern engineering can better connect advanced measurement technologies with real medical needs—turning complex biomedical signals into knowledge […]

This research project aims to create a vertical outdoor testbed for small-scale building integrated photovoltaics (BIPV) modules to enable high-resolution performance monitoring.

Perovskite solar cells are a promising new solar technology that could enable cheaper and more efficient renewable energy. However, their performance can vary widely because even small changes during manufacturing can strongly affect how well the devices work. This project uses advanced artificial intelligence techniques, combined with known physical principles, to analyze a large collection […]

This Mitacs Globalink Project will place a University of Toronto undergraduate physics student at the experimental site of a high-flux reactor-based neutrino experiment called RICOCHET in Grenoble, France. The intern will be hosted at Université Grenoble Alpes and will work closely with the local research team to support experiment operations and to develop a quantitative […]

The research addresses the fundamental trade-off in financial econometrics between computational efficiency and predictive accuracy under varying market conditions. While existing literature has established hybrid models with high predictive capabilities, these often incur high computational costs that may not be necessary during stable market regimes. Conversely, traditional regime-switching models like the MS-GARCH utilize a Markov […]

This project aims to understand the processes of accretion disk and jet formation around supermassive black hole systems. It will be performed within the Black hOle Optical-polarization TimE-domain Survey (BOOTES, https://www.ia.forth.gr/index.php/project/1055), designed to study the polarized light coming from persistent and transient black hole systems called blazars and Tidal Disruption Events (TDEs), respectively. Within the […]

Perovskite solar cells are a promising next-generation energy technology, yet their widespread commercial adoption is hindered by extreme sensitivity to manufacturing conditions, leading to unpredictable performance. This project aims to overcome this reliability challenge by developing a “smart” predictive engine that integrates artificial intelligence with fundamental physics. By leveraging a massive dataset of nearly 500,000 […]

Tandem solar cells represent the future of renewable solar energy, offering efficiencies beyond traditional single-junction silicon cells. However, their current commercial viability is limited by their metallization pattern, which is the silver contacts on the surface that collect electricity. Current design processes are manual and computationally expensive; therefore, this project aims to integrate machine learning […]