Geotab Ace: Enhancing Fleet Intelligence with Retrieval-Augmented Generative AI for Natural Language Data Interaction

Geotab is a global leader in IoT and connected transportation, providing data-driven insights for fleet management. Collecting over 4 billion data points daily from 4.5 million connected vehicles, Geotab’s AI Platform team focuses on leveraging machine learning to enhance data accessibility, fleet intelligence, and operational efficiency. A key challenge is improving user interaction with complex […]

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Design Principles of Biological Networks

This project aims to uncover the design principles of biological networks, such as blood vessels in the kidney and brain, by developing automated tools to analyze high-resolution 3D images of human embryo vasculature. Using advanced imaging techniques and deep learning, the research will create efficient methods to study how these networks efficiently transport nutrients and […]

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Passive Temperature-Responsive Solar Energy Switch for Heat and Electricity Generation

Harnessing Solar Power for Smarter Energy Use: This project introduces a passive solar energy switch that automatically adjusts how it uses sunlight based on temperature, without electricity or moving parts. It relies on a Fresnel lens that focuses sunlight. When temperatures are low, water condenses on the lens, causing solar transmission and heating. When temperatures […]

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ESROP – KMUTT – Context Aware AI Music Therapist for Elderly with Neurodegenerative Diseases

Neurodegenerative diseases like Alzheimer’s and Parkinson’s cause cognitive decline, motor impairment, and emotional distress. While pharmacological treatments exist, music therapy has shown promise in alleviating symptoms. This project enhances music therapy using AI, making interventions more accessible and personalized. This project aim to develop an AI-powered wearable system that personalizes music therapy based on emotional […]

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Non-invasive assessment of early molecular response and detection of minimal residual disease in diffuse large B-cell lymphoma (DLBCL) using cell-free methylomes

Research at the Lymphoma Lab is driven by the observation that the outcomes of lymphoma are extremely variable with some patients seem cured or enjoying long remissions while others experience relapse. Treatments that directly target the underlying therapeutic vulnerabilities of a patient’s lymphoma remain unavailable [1]. Lymphoma Lab wants to change this. A comprehensive understanding […]

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L2M – Oculum

Oculum is developing a new technology to make eye surgeries safer and more efficient by eliminating the need for chemical dyes. Currently, surgeons use these dyes to see delicate eye tissues, but they come with risks like retinal damage and complications, and they don’t always work reliably. Our solution provides a safer and more consistent […]

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Sensor Fusion for Biometric and Environmental Data

CHAH’s mission is to revolutionize healthcare by enabling personalized, proactive home care. Using AI and sensor technology, CHAH transforms homes into intelligent health monitoring environments, tracking physiological and behavioral indicators to detect early health risks and enable timely intervention. Its flagship initiatives include AI-driven predictive healthcare models, real-time sensor fusion, and secure platforms for seamless […]

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CHAH Intelligent Bridge Development and Optimization

Comprehensive Healthcare at Home (CHAH Technology) is dedicated to transforming home-based healthcare using AI and sensor technologies. The partner organization aims to address the critical challenge of delivering high-quality, affordable care to aging populations in Canada, where rising healthcare costs and system inefficiencies are threatening sustainability. Through this project, CHAH will develop the CHAH Intelligent […]

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Risk Estimation of Deterioration for patients in the cardiac ICU

The Artificial Intelligence (AI) initiative at SickKids, supporting the future of individualized paediatric care at SickKids and beyond. We are developing a unique paediatric methodology for the integration of AI and data science into clinical care. Critically ill children in pediatric and cardiac intensive care units are at a significant risk of clinical deterioration, which […]

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L2M – Chase Biotherapeutics: Breaking barriers towards clinical translation of ChASE37-AR for stroke recovery

Stroke is a leading cause of disability, affecting 880,000 Canadians, with 109,000 new cases annually and no approved therapies for neuroregeneration. Current standard of care for ischemic stroke includes acute thrombolysis and/or thrombectomy to restore blood flow to the injured tissue, yet these treatments are time sensitive and only apply to specific stroke etiology, leaving […]

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Development of Climate and Infrastructure Forensic Analysis Systems: A BayesianPerspective

This project will upgrade the Climate and Infrastructure Forensic Analysis System (CIFAS), originally developed to characterize snow- and permafrost-related impacts to ground transportation and mine access roads in the Canadian North. My first objective is to enhance the analytical capacity of CIFAS by improving its ability to quantify uncertainties associated with empirical knowledge used to […]

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