Cultivating a Thriving Workforce at St. Joesph’s Health Centre of Sudbury

The Cultivating a Thriving Workforce project at St. Joseph’s Health Centre of Sudbury project aims to address the critical health human resources staffing crisis through a comprehensive three-phase approach. The project will evaluate recruitment effectiveness, define and communicate a compelling Employee Value Proposition (EVP), and develop a human capital workforce planning strategy. Expected benefits include […]

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Development of LLM-Based Tools for Physics Education

The project seeks to explore the potential of large language models (LLMs) to support physics learning at the high school and college levels. Through careful evaluation of LLMs’ ability to clarify concepts such as mechanics and electromagnetism, alongside the creation of clear visualizations and educator-focused resources, we aim to contribute modestly to making physics more […]

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MFL Mitacs Project Electric School Buses

The transition to electric medium and heavy-duty vehicles, particularly school buses, presents a significant opportunity for sustainable transportation. School buses are ideal candidates for electrification due to their predictable daily routes and manageable travel distances. However, establishing the necessary charging infrastructure and charging schedule at bus depots is a major barrier to this transition. Installing […]

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Thermally Driven Contactless Power Transfer Using Thermophotovoltaic Receivers

The objective of the proposed research project is to build and demonstrate a fuel-powered contactless power transfer (CPT) system. This system is comprised of two units: an emitter and a receiver. The emitter, which can be heated using different fuels (including oil, gasoline, hydrogen, biodiesel) emits radiant energy over a distance to the receiver, which […]

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3D Point Cloud Foundation Model Project

Professor Kim’s team is advancing AIST’s initiative to develop a Foundation Model for Computer Vision, a transformative AI system designed to address diverse tasks through large-scale pre-training. These models are vital for computer vision, which focuses on enabling machines to interpret visual data like images and 3D point clouds. Professor Kim’s work centers on 3D […]

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L2M – SenseOn-Pro

SenseOn-Pro is a small wearable fingertip device that uses photoplethysmogram (PPG) sensor data combined with advanced algorithms to measure many different health markers and events simultaneously. It enables non-invasive, continuous monitoring of multiple chronic health conditions. The device allows the assessment of blood glucose without the need for blood pricking, which is an important component […]

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Characterization of 2D Nanomaterials Synthesized via Compressible Flow Exfoliation (CFE)

The project focuses on advancing the production of high-quality, cost-effective two-dimensional (2D) nanomaterials, such as graphene, hexagonal boron nitride (h-BN), and molybdenum disulfide (MoS2), by optimizing the Compressible Flow Exfoliation (CFE) process. This innovative technique has the potential to replace costly fabrication techniques, significantly reducing production costs without compromising material quality. Through this collaboration, the […]

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L2M – Development of Portable Microfluidic Electrochemical Sensors (MES) for On-Site Detection of Heavy and Critical Metal ions

This project aims to develop a portable and cost-effective microfluidic electrochemical sensor (MES) for detecting heavy and critical metal ions in water, including lead and lithium. The innovation integrates advanced microfluidics and electrochemical sensing to achieve on-site, real-time detection of contaminants, reducing the reliance on expensive and time-consuming laboratory methods. By leveraging low-cost fabrication techniques, […]

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Development of an online rapid cognitive-motor assessment tool to monitor brain health.

This project aims to maximize the accessibility of an existing validated computer tablet-based brain health assessment tool. Specifically, we wish to expand the assessment tool to a web-based platform and improve its ability to rate a user’s performance in a personalized way. Currently, there are few choices for clinicians to test rule-based skilled performance needed […]

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Scalable AI-as-a-Service (AIaas) Platform Development

This project focuses on building the core infrastructure for Farpoint’s new AI-as-a-Service (AlaaS) platform. Two interns will work with Farpoint engineers to create a robust and scalable system using Kubernetes for managing resources and efficiently distributing workload. The interns will also implement load balancing and network routing to ensure smooth handling of high user traffic […]

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Evaluating AI’s potential in script writing: Developing a framework for AI-Human collaboration in Dialogue and plot creation

This study focuses on integrating AI into screenwriting to ideate and develop nuanced stories addressing themes such as trauma, political upheaval, and racial conflict. Centred on Black consciousness within white liberal settings, the study emphasises ethical AI-human collaboration to ensure cultural sensitivity and authenticity. The Interplay between AI and the transformation narratives underline the potential […]

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