This project will develop privacy-preserving human activity recognition algorithms for healthcare, especially senior care and remote patient monitoring. We will develop algorithms in three areas: 1) Video-based high-performance and fast pose estimation algorithms running in the sensor. 2) Advanced stick-figure-based action recognition methods that run in the cloud. 3) Stick-figure-based large vision and language model […]

Total hip replacement usually provides good outcomes for patients. Sometimes, if one part of the artificial hip is placed incorrectly, it can cause the hip to dislocate and require a second surgery to fix the implant. New computer software has been developed by our partner to guide the surgeon during the operation to place the […]

This project aims to revolutionize PVC recycling in a circular vinyl economy by further developing and optimizing a novel approach called Selective Dissolution and Precipitation (SDP). PVC, a widely used plastic, poses recycling challenges due to its complex composition, especially in multilayer materials, like coated fabrics. SDP involves selectively dissolving PVC from mixed plastic waste […]

This proposal outlines the development of a novel polymeric hard marine paint with antifouling and easy-to-clean performance, mechanically compatible with the state of the art in-field grooming and cleaning technologies. This proposal targets reaching a 120 days of biofouling prevention in static deployment conditions, the chemical composition of the novel paint non-inclusive of toxins or […]

The research project involves three interns collaborating on an innovative solution to improve farm management by automating weed control. Intern #1 is tasked with developing a smart system that uses machine learning and computer vision to distinguish between crops and weeds, ensuring the robot can identify what needs to be removed without damaging valuable plants. […]

High plasma cholesterol (hypercholesterolemia) is a potential consequence of obesity that is becoming a major public health challenge. Excess caloric intake without a corresponding increase in energy expenditure is believed to be the major contributing factor to weight gain among Canadians leading to hypercholesterolemia. This ‘silent killer’, hypercholesterolemia is characterized by increased low-density lipoprotein cholesterol […]

Recent statistics in Canada highlight a growing aging population, with 18.8% aged 65 and older, projected to increase by 6.2% by 2036. Falls and pressure injuries (PI) are major concerns for seniors and hospitalized patients, contributing significantly to hospitalizations. About 20-30% of seniors experience falls annually, leading to 85% of senior injury-related hospitalizations. While various […]

In this proposal, intern will be tasked with reinforcement learning algorithm to refine the process of material selection. This method of machine learning is designed to iteratively enhance decision-making, ensuring the most effective materials are identified for various applications. The focus will be on aligning the materials’ performance characteristics with their intended use. As a […]

In this project, an underwater remotely operated vehicle (ROV) from the industry partner EcoMarine Technologies Inc is used to navigate underwater to execute the tasks of capturing and filtering the biofouling when performing hull cleaning for ships in the ocean. In order to avoid harmful debris being released into the sea when cleaning, environmentally friendly […]

This NSERC Alliance MITACS grant brings together a world-renowned semiconductor micromanufacturing industrial leader Teledyne Micralyne, and a microfluidic device design and process development researcher to develop wafer-scale and versatile microfluidic fabrication processes adaptable to major microfluidic applications. It will provide a unique research and training opportunity for HQPs to enhance their professional and technical skills […]

USP currently works with storage facilities in a manner akin to a broker network, relying on numerous third-party locations for freight-in and warehousing. USP is considering a strategic revision of its supply chain dynamics, with the intention of optimizing their current supply network in an effort to become more sustainable and cost effective. USP is […]

Tiny particles made of fat are an established system for delivering genetic materials into cells to perform gene therapy. The project is focused on optimizing the fat structure and composition to improve genetic material delivery and target to different parts of the body. We will engineer a library of fat particles made with different combinations […]