Fostering Long-Term Environmental Stewardship: A Comparative Study of Kindergarten Environmental Education Practices in Ontario and China

This research project will explore how environmental education (EE) in kindergarten classrooms can build lifelong habits of environmental stewardship by comparing practices in Ontario, Canada, and China. Using the framework of the Reciprocal Learning Program, the study highlights how cultural exchange can improve teaching methods and outcomes in both regions. By examining daily routines and […]

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Quantifying fusarium toxins in greenhouse-derived matrices

Canadian sweet peppers have become common in our grocery stores, providing us with year-round access to fresh produce. These are grown in greenhouses, but in the past two years, a mould, fusarium, has been found attacking greenhouse peppers across the world. The best weapon against this mould is clean water and early detection, but this […]

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Photocatalytic degradation of textile dye wastewater using solar energy

Dye wastewaters from textile industries is toxic and often causes serious environmental damage. In this study, an eco-friendly photocatalytic degradtion process which involves the use of a Ag-ZnO catalyst and solar energy will be used to degrade toxic dyes. Therefore, the main objectives of my reserch over the three month period will be to synthesize […]

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Developing an Ergonomic Risk Assessment Tool and Work Rotation Plan

The overall objective of this project is to reduce ergonomic risk and the potential for workplace injury across the entire production facility. Repetition, force and posture are factors that can lead to fatigue and injury among workers in a manufacturing setting. By developing an ergonomic demands and risk assessment tool based on current research, the […]

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Enhancement of the Automotive Cybersecurity Vulnerability Database Platform

This project aims to enhance the existing Automotive Cybersecurity Vulnerability Database Platform, making it more robust, user-friendly, and industry-specific. The platform will enrich data points by leveraging AI and ML to ensure high relevance and actionable intelligence for automotive cybersecurity. The project will adapt the National Vulnerability Database framework to include automotive-specific technology tags, provide […]

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Automatic Detection of Tool Wear in Machining Tools Using Deep Learning

The proposed research project aims to create an AI-based automatic system for monitoring and characterizing the condition of cutting tools by integrating robotic systems and smart cameras. This innovative approach addresses the limitations of traditional tool wear monitoring methods, which often lead to unnecessary costs and machine downtime. By developing advanced machine learning algorithms and […]

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Development of an Inline Testing Method for Resistance Spot Riveting

Dissimilar-material joining is becoming increasingly sought after in several industries – including automotive, aerospace, and rail – due to the potential to improve vehicle weight reduction and efficiency while maintaining safety and structural strength. Resistance Spot Riveting (RSRTM) is a novel joining technology designed to enable inexpensive, efficient, and effective dissimilar-material joining. As it stands, […]

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Ergonomics Evaluation of Right Angle Power Tools

It has been estimated that approximately 70% of operators in automotive assembly use power-tools to complete their assembly tasks, yet companies have a difficult time determining why injuries happen when they are used. Before we can determine this, we need to understand the type of postures and the level of physical demand and the frequency […]

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