The global shift to sustainable energy and climate consciousness as lead to the innovation and development of unique technologies that challenge societal norms. One such technology is electric and hybrid electric aircraft. With the advancement of this transportation type comes the advent of new challenges in energy storage and thermal management. Once such problem is […]

Mixed reality (MR) based visual guidance enables intuitive interaction between the user and the environment and has various applications (e.g., picking tasks, navigation, and surgical support). These applications require highlighting physical objects, and many existing techniques utilize obvious virtual elements such as outlines and arrows. While effective, they significantly increase visual clutter when conveying a […]

This project will validate and demonstrate BIM-RISE, an automated BIM-enabled workflow that supports more sustainable construction and demolition (C&D) waste management and environmental assessment. Using information already available in building models, BIM-RISE will produce early, decision-ready estimates of expected material quantities (e.g., concrete, metals, wood, gypsum) and organize them into practical end-of-life streams. It will […]

This project will evaluate the commercial readiness of EarLIX’s hot-embossed metasurface biosensor platform designed for rapid, low-cost multi-cancer screening using circulating tumor DNA (ctDNA). The intern will conduct structured interviews with healthcare stakeholders, analyze adoption barriers, and refine the business model, pricing strategy, and regulatory pathway. In parallel, the project will assess intellectual property positioning […]

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 project aims to support the development of low-carbon materials for mining applications by using data-driven methods to better understand and predict material durability. The research focuses on analyzing existing experimental data to estimate carbonation depth in alternative concrete made from mine tailings, which can reduce the use of traditional cement and lower greenhouse gas […]

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 […]

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 […]

Mon projet de recherche vise à rendre la justice numérique plus accessible et humaine en adaptant les outils technologiques aux capacités de compréhension des citoyens. Dans le cadre de ce stage au Laboratoire de cyberjustice, j’interviens en tant qu’élève-ingénieure en cognitique pour analyser comment les utilisateurs interagissent avec les systèmes judiciaires automatisés. Mon objectif est […]