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This research proposal focuses on addressing the prevalent challenges associated with Proton Exchange Membrane Fuel Cells (PEMFCs), specifically targeting the reduction of greenhouse gas emissions. Despite significant advancements in performance and durability, particularly in automotive contexts, the high cost associated with essential materials for optimal functionality remains a formidable barrier. Notably, advancements in cathode gas […]

The surge in data-intensive machine learning (ML) applications necessitates effective incentives for data owners (DOs) to contribute data and train ML models collaboratively. The decision to participate in collaboration depends on the balance between utility gains and privacy loss. This project focuses on federated learning (FL), where DOs participate in collaborative learning without sharing raw […]

Driving automation is becoming increasingly available with the advancement in sensors and computational power. The next generation, i.e., conditional automation, allows drivers to engage in other activities like sleeping. If the system cannot operate in certain conditions due to limitations, the driver is required to takeover vehicle control. However, sleepy drivers might not be fit […]

Eye movements and visuospatial memory constantly interact to shape an efficient representation of the world. The behavioral link between eye movements and holistic scene memory has been extensively demonstrated, yet it remains elusive how visual item memory dynamically unfolds in active vision. Understanding the interplay between eye movements and memory, and identifying its neural mechanisms, […]

The post-1980 generation in Turkey came to identified with political apathy and cynicism. They seemed to lack interest in and knowledge of politics and to be disengaged from political parties and organizations. However, on May 31st 2013 the urban youth have become the forerunners of an anti-government uprising which was ignited by the attempts to […]

The project is expected to deepen understanding of Artificial Intelligence in a modern Global Security context by analysing the practical implications of its usage by the Russian Federation in the full-scale invasion of Ukraine. The goal of the project is to create a comparative analysis and to reveal the difference or consistency within the declared […]

The “Partnerships Empowering Canadian Innovation” project, conducted under the Mitacs Business Strategy Internship program in collaboration with The Cansbridge Fellowship, aims to equip interns with the mindset and skillset necessary for success in the innovation economy. The project enables interns to identify strategic partnership opportunities with innovation organizations through industry-specific research, networking, and outreach. Throughout […]

Nosebrush Corporation is a start-up innovation medical device group with a Scientific Inventor, CEO, CFO, and legal advisor. The scientific advisor is an Associate Professor at the University of Toronto and has independently worked on this device with association to the H2i Innovation Hub. Viruses linger in the nose before infecting the body. The team […]

Innovation is increasingly necessary to alleviate the systemic strain on healthcare systems around the world. However, despite significant investment in universities and hospitals to support the integration and application of research its application continues to greatly lag research discoveries. Graduate students play an increasing role in addressing this issue. They have the knowledge, motivation, and […]

This project develops and benchmarks novel offline training algorithms for AI navigation in gaming environments. As such, it is intended to be a self-contained project. Traditional video game navigation heavily relies on navigation meshes (navmeshes) for pathfinding. Navmeshes offer a simplified representation of complex environments but face limitations in portraying nuanced navigation abilities, such as […]

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW