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Dr. Sadeem M. Qureshi is an Assistant Professor and the Graduate Program Coordinator in the User Experience Design (UXD) program. He has a wealth of experience across multiple domains such as Healthcare, Automotive, Aviation.
His academic background includes a PhD in Healthcare Human Factors and Simulation from Toronto Metropolitan University (formerly, Ryerson U.). He has a Masters in Quality Systems Engineering from Concordia University (Montreal QC), and a Bachelors in Biomedical Engineering from NED University of Engineering and Technology. Dr. Qureshi is a Certified Professional Ergonomist (CCPE) from the Canadian College for the Certification of Professional Ergonomists (CCCPE). He is also a Lean Six Sigma Black Belt (LSSBB).
Dr. Qureshi has 7+ years of teaching experience, having taught at Western University, Toronto Metropolitan University (Ryerson U.). Trent University, McMaster University etc. Dr. Qureshi has worked on projects with (but not limited to) -- Toronto General Hospital (TGH - 3rd Best Hospital in the word); Toronto Western Hospital (TWH); Fiat Chrysler; Harley Davidson; GTAA; Jet Aircraft Museum etc.
Dr. Qureshi's multidisciplinary research has received numerous international and domestic awards. While his research spans across multiple domains, the central theme of his work is how humans are central to the design of systems. He approaches this through the lens of human factors engineering, ensuring that systems are not only efficient but also safe, usable, and aligned with human cognitive and physical capabilities. His work leverages process simulation techniques to model complex workflows, evaluate system behavior under varying conditions, and predict the impact of design changes on both operational outcomes and human performance. By focusing on system performance and quality, he identifies bottlenecks, inefficiencies, and risks, translating these insights into evidence-based recommendations that improve both technical reliability and user experience. Furthermore, his research emphasizes workload management and worker well-being, analyzing the balance between task demands and human capacity using tools such as workload assessment scales, motion studies, and ergonomic modeling. This holistic approach ensures that systems are not only high-performing, but also sustainable for the people who interact with them.
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