Olivia Xu – Ethics First: Fostering Social Responsibility in AI Development and Deployment through Intercultural and Interdisciplinary Collaboration

The proposed project aims to address ethical challenges associated with AI technologies by researching and promoting intercultural and interdisciplinary collaboration. This intercultural and interdisciplinary collaboration entails drawing insights from people who come from different cultural backgrounds, study different disciplines (engineering, philosophy, sociology, law, etc) and work in different sectors (industry, academia, non-profit, etc). With the […]

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A Machine Learning Framework for Exploring Mortality in Developing Countries with Verbal Autopsies

This research project, backed by Unity Health Toronto and the Centre for Global Health Research (CGHR), aims to explore the use of machine learning in predicting causes of death using verbal autopsy data from low-to-middle-income countries. Verbal autopsy is a cost-effective and efficient method for documenting deaths in regions with limited resources. By employing advanced […]

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Contact-Rich Visuotactile Manipulation

Robotic manipulation involving contact-rich tasks continues to be a challenging, yet critically important, research problem with many potential applications, including domestic assistance, automated agriculture, and advanced manufacturing. Many of these tasks involve both unstructured environments and complicated dexterous manipulation. Existing approaches that rely on purely visual sensors and predefined models are brittle and prone to […]

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Acceptance and Commitment Training with Autistic Youth and Young Adults

Autistic youth and adults often experience a drop-off in supports as they transition to adulthood, especially in evidence-based interventions that support their mental health and wellbeing. Acceptance and Commitment Training (ACT) is an evidence-based therapy based on mindfulness and behavioural principles that has preliminary support to improve the wellbeing of autistic people. The present project […]

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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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