IEEE Access Editor-in-Chief

MEHRDAD SAIF (Fellow, IEEE) received bachelor’s, master’s, and doctoral degrees in electrical engineering, in 1982, 1984, and 1987, respectively. During his graduate studies, he was involved in research projects sponsored by NASA Lewis (now Glenn) Research Center, as well as the Cleveland Advanced Manufacturing Program (CAMP). He joined the School of Engineering Science, Simon Fraser University, Vancouver suburb, in 1987. He was a visiting scholar with the General Motors North American Operation Research and Development Center, NAO R&D Center, Warren, MI, USA, from 1993 to 1994. At GM, he was a member of the Powertrain Control Group, Electrical and Electronics Research Department, and worked on engine control and Onboard engine Diagnostic (OBD-II) problems. From 2002 to 2011, he took on a senior academic leadership position by becoming the Director of the School of Engineering Science, SFU. In that capacity he oversaw a major expansion of that School. In 2004, he articulated the vision of starting the mechatronic systems engineering program at SFU's newly established Surrey Campus. He planned and rolled out the program at both graduate and undergraduate levels in 2007. In July 2011, Dr. Saif went on to take on the Dean of the Faculty of Engineering, University of Windsor, Windsor, ON, Canada. In his decanal role, he expanded the Faculty of Engineering programs into such areas as aerospace engineering, engineering management, Bachelor of Engineering Technology, mechatronics, and others. In his leadership roles at SFU and UWindsor, Dr. Saif's efforts led to a significant enrollment increase at all levels, significant growth of the Faculty budget, modernization of the infrastructure, increased research productivity, as well as an increase in the number of faculty and staff supporting the engineering programs. Dr. Saif is internationally recognized for his research work on the theory of state estimation, health monitoring, fault diagnosis, and prognosis, cybersecurity, attack detection, and attack resilience in complex engineering systems. Saif's benchmark contributions have led to the advancement of estimation, control, machine learning, and AI theories, coupled with innovative developments and applications of said theories to a variety of cutting-edge real-world practical challenges in emerging areas of automotive, energy, biomedical, robotics, and aerospace industries. Dr. Saif is a Fellow of the IEEE and was cited for his contributions to monitoring, diagnosis, and prognosis in cyber-physical health systems. He is also a Fellow of Canadian Academy of Engineering, Fellow of the Engineering Institute of Canada, Fellow of the Institution of Engineering and Technology, Fellow of Asia-Pacific Artificial Intelligence Association, and a Fellow of Artificial Intelligence Industry Alliance. Dr. Saif has served as a consultant to several industries and agencies, such as GM, NASA, BC Hydro, the Ontario Council of Graduate Studies, and others. He also serves on the editorial board of IEEE Access in addition to several other IEEE and non-IEEE Transactions, journals, as well as conferences. Finally, he is also a registered Professional Engineer in the Province of Ontario.