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Junyao Xie is an Assistant Professor in the Department of Engineering at the University of Guelph. Dr. Xie's research focuses on advanced control theory, including moving horizon estimation and distributed parameter systems. His expertise extends to systems engineering, artificial intelligence, machine learning, and quantum computing. He works on dynamic modeling, soft sensing, and fault diagnosis to enhance smart automation in complex engineering systems. Furthermore, he explores the applications of physics-informed machine learning and digital twins for intelligent monitoring and control, aiming to improve safety and sustainability in various domains, such as energy, manufacturing, agriculture, and mechanical systems. Additionally, Dr. Xie emphasizes predictive modeling and smart sensing techniques to achieve optimization in engineering solutions. He teaches foundational courses like Engineering Design and Kinematics Dynamics, encompassing his commitment to fostering the next generation of engineers.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).