Innovating Corrosion Measurement for Your Vehicle

From 2014-2018, Krown Corporation, a pioneer in corrosion treatment, partnered with University of Windsor Faculty of Engineering researchers to conduct a comprehensive assessment on how to measure and assess the degree of corrosion on a vehicle, so that it may be communicated to the vehicle owner. This preliminary research demonstrated that a corrosion metric, and […]

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Probiotics Counteract Gut Microbial Dysbiosis and Long-Term Neural degeneration in Male and Female CD1

Women are disproportionately affected by neuro-degenerative disorders compared to men. For years, research has attempted to identify why this phenomenon occurs. The answer may be found in the gut. The intestinal tract contains millions of bacteria that are colonized from birth; These bacteria are essential for keeping the brain and immune system healthy. Changes in […]

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Automated Diagnostic System for Remote Monitoring of a Concrete Dam

Structural Health Monitoring (SHM) has tremendous potential to detect incipient structural failures in various components, e.g., onset of fatigue damage, corrosion, spalling and delamination in the structures during their service life, so that preventive actions can be employed in a timely manner. St. Clair Region Conservation Authority (SCRCA) has felt immediate need for real-time monitoring […]

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Ghost Voices in Turkish Cinema

My research seeks to explore the history of dubbing or post-synchronization in Turkey, which from the 1940s on became one of the most recognizable features of the Turkish industry, characterizing both national and imported production. Post-synchronization of sound had been the standard practice in Turkish popular cinema until 1996; it was only then that shooting […]

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Plant level implementation of a model for real time tracking and control of composition changes to steel, slag and inclusions during ladle processing – Part 2

The Ladle Metallurgy Furnace is used for adjustment of chemical composition and temperature, and control of tiny particles called “inclusions”. Controlling inclusions is carried out by adding calcium to modify the solid alumina or magnesium aluminate inclusions to less harmful liquid inclusions. During ladle process, reaction of top slag, steel and inclusions occur simultaneously. Therefore, […]

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Investigation of cybersecurity issues in using electric vehicle fleets with battery exchange infrastructure

Sustainable public transfer systems are getting a lot of attention, and many organizations are transforming their fleets into systems that rely on alternative fuels; the Electric Vehicle (EV) being most popular. The environmental, geopolitical and financial advantages of EV vehicles are well studied; however, security of these systems is not given full attention. The most […]

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Development of a comprehensive feminist performance evaluation framework for international Sexual-and-Reproductive-Health-and-Rights (SRHR) development programs: The case of Inter Pares

The main objective of this short-term Mitacs project is to gather evidence through research to support Inter Pares’ development of Performance Evaluation Framework for their upcoming SRHR program, which aims to improve the sexual and reproductive health and rights of women and adolescent girls in the global south. To learn from the program implementation and […]

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The Great River Rapport

The Great River Rapport is an initiative that involves collaboration, consultation, and input from scientists, Indigenous partners, citizens and students. The goal is to provide a report on the health of the Upper St. Lawrence River ecosystem and inspire people to become engaged and aware of how ecosystem health is linked to all of us. […]

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Privacy in Machine Learning Systems with Data/Model Sharing via Information Theoretic Analysis

Privacy and Security are key considerations in any machine learning system. The proposed research will develop net methods for preserving privacy when training data and/or model parameters are released in the public domain. We will use methods from information theory to develop quantitative measures for privacy and security in machine learning systems. Using this framework […]

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