L2M – SEEYA

SEEYA project addresses the growing global epidemic of childhood myopia, a condition that has reached alarming levels due to genetic impacts, urbanization, increased screen time and reduced outdoor activity. SEEYA advocates a fun way to see, and a new way to play! A series of innovative, engaging, and educational toy sets that promote balanced indoor […]

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L2M – Market Assessment to Support the Commercialization of an Innovative Structural Thermal Break

Thermal bridging is a significant challenge in building design, increasing heat loss, raising energy demand, and reducing occupant comfort. As awareness of its impact grows, Canadian building standards are evolving to mandate more sustainable and energy-efficient construction practices. However, existing solutions for mitigating thermal bridging, particularly in balconies, are often ineffective, difficult to install, or […]

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Investigation of Data-Driven Koopman Model Predictive Control for Hydrogen-Diesel Engine Applications

This project explores the application of the Koopman Operator to system dynamics for the application within model predictive control of hydrogen-enhanced diesel engines. Investigating different implementation options and leveraging data-driven machine learning approaches, the aim is to reduce computational effort while enabling system-theoretic analysis of the dynamic system representation. The topic aligns closely with the […]

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