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 […]

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. […]

A comparative analysis of the root microbiomes of lettuce grown in soil to lettuce grown in hydroponic systems. The microbial community composition for each root sample will be identified using DNA sequencing and compared to determine differences between each sample. This information will help Ceragen improve their ability to identify plant growth promoting microbes that […]

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 […]

In North America, nearly half of adults experience chronically elevated blood pressure (BP), posing heightened risks of cardiovascular disease and kidney failure. Unfortunately, only half of those with elevated BP, or hypertension, are cognizant of their condition. The overarching goal of this project is to identify ways to monitor blood pressure with low cost, non-invasive […]

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 […]

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 […]

In-hospital cardiac arrest is one of the most challenging and overlooked health issues worldwide. Even with care teams dedicated to rapid response when an arrest occurs, only about 1 in 5 patients survive. Since a person’s chance of survival goes down with every minute they are not treated after the arrest, we need to find […]

Reinforcement Learning in Large Language Models (RL-LLM) is revolutionizing how AI understands and responds to human language, improving virtual assistants in various fields. It teaches models to follow instructions effectively, even with vague prompts, reducing inappropriate responses and false information. RL-LLM’s application extends to sectors like healthcare, finance, and online shopping, enhancing product suggestions and […]

Advances in the field of pharmacogenetics have brought much attention to the potential benefit of personalized medicine in the field of psychiatry. We will assess the value of a simple pharmacogenetic test for treatment-seeking CAF veterans. If the results from prior depression studies hold in our PTSD population, this approach holds potential to save time […]