This research project aims to develop a comprehensive predictive framework for heat treatment furnaces to enhance operational efficiency, product quality, and environmental sustainability. The project focuses on creating a data preprocessing pipeline tailored for big machinery sensor data, innovative AI-enabled anomaly detection models, real-time furnace operation analysis, and quality prediction models. Key objectives include obtaining […]

Scispot is an innovative company dedicated to revolutionizing the biotech industry through the integration of advanced scientific tools and technologies. Scispot is backed by Y Combinator, Velocity, OBIO, OCI, and CDL. Our mission is to enable every biotech lab to streamline their operations, enhance productivity, and accelerate scientific discoveries.

Public education is the starting point for building a prosperous, inclusive, entrepreneurial, and equitable society in Canada. However, education systems in Canada are compartmentalized from one another with little shareable data to help understand differences, promote cross-jurisdictional learning, or develop Canada-wide strategies to support change. People for Education and the Centre for Leading Research in […]

DNA is a powerful tool for biological applications, including agriculture, because of its predictable properties and biocompatibility. This project will focus on the development of DNA tools for protection of crops. The ability to use these DNA tools to manage crops in a highly selective, low intensity manner can increase the sustainability of the agriculture […]

Understand the performance of wood shearwalls with respect to heightened seismic loads especially for multi-storey wood structures. The proposed project is conducted in collaboration with the Canadian Wood Council as the industrial partner, and it aims to address the impact of extending the light frame wood shearwalls to taller buildings especially as it pertains to […]

Textiles resistant to hazardous chemicals always have utilized perfluoroalkylated substances (PFAS) due to the unique repellent properties of perfluorinated (-CF3) chemical groups. However, due to their toxicity in the environment and on human health, many countries worldwide are planning to bad PFAS from production. PRE Labs Inc., a safety products manufacturer headquartered in Kelowna, BC, […]

This research project aims to enhance the treatment of common tendon injuries in horses, a prevalent issue causing economic losses in equine sports. Despite various treatments, there’s a crucial need for more effective solutions. The study focuses on comparing the impact of Mesenchymal Stromal Cells (MSCs) alone to a combination of MSCs and Hyaluronic Acid […]

This research project enables internship personnel, guided by their industry sponsors, to develop advanced software features for designing and operating vast solar power farms. Creating a digital twin of the system, these computational models apply the latest solar technologies to efficiently harvest light from the whole environment (sun, sky, and ground) under the complex shading […]

Resistance exercise training and the provision of dietary protein is known to bring about beneficial adaptations for muscle mass and strength. Substantial research has been conducted to identify the optimal protein supplements that permit the greatest anabolic response following an exercise stimulus. This research project will examine if a novel protein supplement can increase anabolism […]

We have observed that chemotherapy agents can induce RNA degradation in tumour cells, a phenomenon called “RNA disruption”. Interestingly, we also found that high tumour RNA disruption after 2-3 cycles of chemotherapy predicts for complete tumour destruction after treatment and improved cancer patient survival. We and Rna Diagnostics, Inc. are using this knowledge to identify […]

This proposal aims to accelerate the discovery of materials in Chemical looping combustion (CLC), which is an emerging technology that requires lower energy expenditure to capture CO2 from fossil fuels. A machine learning (ML) framework that only requires a limited amount of data for training will be developed. Atomistic simulations will be conducted to predict […]

The proposed project outlines a collaboration between researchers at Queen’s University and engineers at Bombardier Inc. In this collaboration, researchers would develop new computational tools and methods for designing quiet aircraft with considerations for the total weight of the aircraft. The proposed Mitacs internships will strengthen collaboration efforts between Queen’s and Bombardier and facilitate use […]