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Dr. Hossam A. Gabbar is Associate Professor in the Faculty of Energy Systems and Nuclear Science, and cross appointed in the Faculty of Engineering and Applied Science, University of Ontario Institute of Technology (UOIT). He obtained his Ph.D. degree (Safety Engineering) from Okayama University (Japan), while his undergrad degree (B.Sc.) is in the area of automatic control from Alexandria University, Egypt. He is specialized in safety and control engineering where he worked in process control and safety in research and industrial projects in Japan and Canada. Since 2004, he was tenured Associate Professor in the Division of Industrial Innovation Sciences at Okayama University, Japan. And from 2001, he joined Tokyo Institute of Technology and Japan Chemical Innovative Institute (JCII), where he participated in national projects related to advanced distributed control and safety design and operation synthesis for green energy and production systems. He developed new methods for automated control recipe synthesis and verification, safety design, and quantitative and qualitative fault simulation. He is a Senior Member of IEEE, the founder of SMC Chapter - Hiroshima Section, the founder and chair of the technical committee on Intelligent Green Production Systems (IGPS), and Editor-in-chief of International Journal of Process Systems Engineering (IJPSE), president of RAMS Society, and editorial board of the technical committee on System of Systems and Soft Computing (IEEE SMCS). He is invited speaker in several Universities and international events, and PC / chair / co-chair of several international conferences. Dr. Gabbar is the author of more than 110 publications, including books, book chapters, patent, and papers in the area of safety and control engineering for green energy and production systems. His recent work is in the area of risk-based safety and control design for energy conservation and supply management, and smart grid modeling and planning with distributed generation.
Fault diagnosis, real time monitoring, safety – fault simulation, safety system design, intelligent control systems, smart energy grids, process engineering of energy facilities.
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