The project advances the development of an AI-based system for automatic cutting tool condition characterization using machine learning and machine vision. It addresses the limitations of indirect tool wear monitoring by enabling direct, image-based wear analysis both on- and off-machine, with a focus on reducing downtime and improving tool utilization. A key challenge is adapting […]

This project will help Ontario Soccer make the most of the upcoming 2026 FIFA World Cup by evaluating how well their “GeneratiON26” marketing plan is working and suggesting ways to improve future efforts. With games being hosted in Toronto, the World Cup is a unique chance to grow interest in soccer across Ontario. A Mitacs […]

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. […]

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 […]

This project will compare how Canadian and Chinese primary and secondary schools teach students aged 10-15 to develop global competence, understand and engage with the world. By observing classrooms in China and conducting a document analysis of the Ontario curriculum, the research aims to identify the most effective teaching methods from each context. The primary […]

This project explores how children may learn about nutrition not only through what they are taught but also through everyday school routines in Chinese and Canadian elementary schools. While Canadian schools often teach nutrition using guidelines such as the Canadian Food Guide, many Chinese schools provide daily hot lunches that may communicate unspoken messages about […]

This project explores how recess is organized and experienced in elementary schools, with a focus on the difference between structured and unstructured recess. By spending time in Chinese elementary schools, observing daily routines, and noting how students interact with each other during recess and how they transition back to the classroom, I aim to better […]

I will explore how schools in China use nature to support the mental health of students and teachers/Administration. By observing classrooms and speaking with educators, I hope to understand which practices are most effective and how they might be adapted for use in other countries. The University of Windsor will benefit by gaining new research […]

This proposed project investigates the differences in pedagogical methods in teaching sustainability across Canada and China. This research aims to use the UN’s sustainable development goals as an outline to approach sustainability issues. Research methods will be conducted through initiating casual conversations with students and educators, following the educators guide with the Chinese curriculum and […]

Global agricultural supply chains face persistent challenges such as unstable supply, uncertain demand, and tariff-related uncertainty that further complicates pricing and network design. This project focuses on the design and optimization of global greenhouse agricultural supply networks under trade policy and market uncertainty. The research aims to improve supply chain profitability, resilience, and adaptability to […]

Titanium alloys are used to manufacture aerospace components that require high strength at high operating temperatures such as fan blades, heat shields and jet engine exhaust cones. Parts that have complex geometries are commonly formed at high temperature (around 900°C) so as to achieve maximum ductility during the forming process. By applying a small oscillating […]

MealLens Inc. is developing an AI-driven meal-planning solution designed to help users efficiently manage food ingredients and optimize meal preparation. This project focuses on enhancing the system’s ability to recognize and process ingredient information while improving overall accuracy, user experience, and scalability. The expected outcome is a more intelligent and adaptable platform that will contribute […]