Meysam Zareiee

Dr. Meysam Zareiee is a dedicated researcher and Associate Professor with over 14 years of academic and industrial experience. Currently, he is a Researcher at the University of Strathclyde, contributing to the UKRI EPSRC Made Smarter Innovation - Research Centre for Smart, Collaborative Industrial Robotics. Meysam holds a Ph.D. in Electrical/Electronic engineering, focusing on Supervisory Control of Discrete Event Systems and Petri nets. Throughout his career, Meysam has taught a diverse range of courses in electrical/electronic engineering at both undergraduate and graduate levels, with a strong emphasis on control systems, Electronic, and semiconductor devices. His research spans supervisory control theory, discrete event systems, manufacturing automation, Petri nets and semiconductor device modeling. He has published extensively in peer-reviewed journals and conferences, while his work has been recognized with numerous awards, including distinctions in both teaching and research. Beyond academia, Meysam has led several national industrial projects, blending theoretical research with practical applications. Passionate about advancing smart manufacturing technologies, he continues to explore cutting-edge innovations in collaborative robotics, automation, and device modeling, contributing significantly to the fields of engineering and technology.

My research interests lie at the intersection of supervisory control theory, discrete event systems, and the application of Petri nets to optimize and model complex industrial and manufacturing processes. I am particularly focused on the development and synthesis of controllers for discrete event systems, with a keen interest in flexible manufacturing systems and Industry 4.0. Additionally, I explore the modeling and simulation of semiconductor devices, including MOSFET and power transistors, to improve performance, reliability, and efficiency in high-power applications. Through my work, I aim to advance automation, smart manufacturing, and the integration of intelligent control systems in industrial environments.