Employment diversity in the renewable energy sector

If Canada is to meet its ambitious climate goals, addressing persistent labour and skills shortages will be a necessary condition. The research project aims to analyze the employment patterns and composition that current prevail in the electricity and renewable energy sector compared to the broader economy. The research will, in turn, empirically shed light on […]

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Improving Equity in Access to Palliative Care

The new Frontenac Lennox and Addington Ontario Health Team for our region has established palliative care of one of its priorities and formed a Palliative Care Partnership of stakeholders involved in providing palliative care across the FLA. The objective of this project is to improve access to palliative care for underserved and marginalized populations, especially […]

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Simulation-based Testing and Fault Localization of IoT Systems

The Internet of Things (IoT) connects a plethora of smart devices globally across various applications like smart cities, autonomous vehicles, and health monitoring. IoT systems are predominantly software-defined, making them susceptible to quality issues on a large scale. This research aims to improve IoT trustworthiness through simulation-based testing and automated fault localization. Existing IoT systems […]

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Documenting Innovations in Access: Creating an Anthology of Access in the Arts

The Access Anthology Project is a collaboration between two non-profit Artist Run Centres (ARCs) located in Toronto, ON, Tangled Art + Disability and Gallery TPW. Commissioned by Gallery TPW in 2022, the Access Anthology will document the access practices of Tangled Art + Disability through a collection of interviews, roundtables, and essays contributed by artists, […]

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Machine learning-driven molecular classification of pediatric brain tumors

Brain tumors are the leading cause of cancer-related death in childhood and are generally categorized as low-grade or high-grade. More granularly however, there can be over 100 types of brain tumors which can vary widely in both prognosis and treatment. Machine learning has increasingly been applied to classify brain tumors and other cancer types but […]

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Awareness and Immersion in Small-Group Augmented Reality

Augmented reality (AR) allows us to add virtual artifacts into the physical world. For example, we can place a 3D medieval castle onto the floor of a classroom, allowing students to explore it. AR supports collaborative learning since students can all see the same virtual artifact, and can interact using natural gestures like pointing. In […]

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Shirley Zhong – Revolutionizing Sustainable Manufacturing in Canada: Market Insights, Tools, and Outreach for a Greener Industry

This project, in collaboration with the Cansbridge Fellowship, a non-profit with a strong history in fostering international trade, innovation, and investment in Canada, aims to promote sustainable manufacturing. By conducting research, identifying inefficiencies, and developing AI-driven tools to measure sustainability, the project will help businesses adopt greener approaches to fashion production. In addition to benefiting […]

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Applications of Picard-Lefschetz theory to Cosmology

Picard-Lefchetz theory is a powerful tool for evaluating highly oscillatory integrals that are difficult or impossible to solve using other integration methods. This theory has numerous applications to lensing, quantum mechanics, and high energy physics. In this project, I will investigate using Picad-Lefchetz theory to solve simple lensing problems with the goal of applying these […]

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Evaluation of anticancer activity of Shogun black maitake mushroom extract and it’s interaction with chemotherapeutic drugs in in vitro and in vivo models of human cancers.

Natural extracts have potential as anti-cancer therapeutics. Black Maitake mushroom extract (BME) is well tolerated, safe to be given as supplements over long period of time and has been approved from Health Canada for human consumption with NPN number. BME treatment has beneficial effect in patients as immunomodulator. We aim to provide scientific and preclinical […]

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