Keynote Speakers

 

Prof. Ching-Chih Tsai (Fellow of IEEE, IET, CACS, and RST)

National Chung Hsing University, Taiwan

Biography: Ching-Chih Tsai is currently a life distinguished Professor in the Department of Electrical Engineering, National Chung Hsing University (NCHU), Taichung, Taiwan, where he served the 2012-2014 department chairman. He received his Ph.D degree in Electrical Engineering from Northwestern University, Evanston, IL, USA, 1991. Dr. Tsai has published more than 600 refereed journal and conference papers, and seven patents in the fields of intelligent control and robotics, where he received many prestigious awards and honors from IEEE and numerous professional societies, and many best conference paper awards technically supported by IEEE. He served as the two-term President of Chinese Automatic Control Society (CACS) from 2012-2015 and two-term President of Robotics Society of Taiwan (RST) from 2016 to 2019, and the Dean of R&D Office, NCHU, in 2021. In recent years, he has served associate editors of IEEE Transactions on Systems, Man Cybernetics: Systems, IEEE Transactions on Industrial Informatics and International Journal of Fuzzy Systems. Moreover, he has served as the President of International Fuzzy Systems Association (IFSA) since September 2021, a BoG member and the associate VP for conferences and meetings of IEEE Systems, Man Cybernetics Society (SMCS), the chair of Distinguished Lecture Program of IEEE SMCS since 2022.  He has been elevated to Fellow of IEEE, IET, CACS, RST and TFSA. He has served as the associate editors of International Journal of Fuzzy Systems, and IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Transactions on Industry Informatics, and International Journal of Electrical Engineering. He served as the Editor in Chief of a new international robotics journal called “iRobotics” from 2018 to 2019. His current interests include advanced nonlinear control methods, deep model predictive control, fuzzy control, neural-network control, deep learning, broad learning and reinforcement learning, and intelligent learning control methods with their applications to advanced mobile robotics, intelligent service robotics, intelligent mechatronics, intelligent automation, smart machinery and smart agriculture.

Prof. Maria Pia Fanti (IEEE Fellow)

Polytechnic University of Bari, Italy

Biography: Maria Pia Fanti (IEEE Fellow and Fellow of the Asia-Pacific AIA) received the Laurea degree in electronic engineering from the University of Pisa, Pisa, Italy, in 1983. She was a visiting researcher at the Rensselaer Polytechnic Institute of Troy, New York, in 1999. Since 1983, she has been with the Department of Electrical and Information Engineering of the Polytechnic of Bari, Italy, where she is currently a Full Professor of system and control engineering and Chair of the Laboratory of Automation and Control. Her research interests include modeling and control of complex systems, intelligent transportation systems, smart logistics; Petri nets; consensus protocols; fault detection. Prof. Fanti has published more than +310 papers and two textbooks on her research topics. She was senior editor of the IEEE Trans. on Automation Science and Engineering and member at large of the Board of Governors of the IEEE Systems, Man, and Cybernetics Society. Currently, she is Associate Editor of the IEEE Trans. on Systems, Man, and Cybernetics: Systems, member of the AdCom of the IEEE Robotics and Automaton Society, and chair of the Technical Committee on Automation in Logistics of the IEEE Robotics and Automation Society. Prof. Fanti was General Chair of the 2011 IEEE Conference on Automation Science and Engineering, the 2017 IEEE International Conference on Service Operations and Logistics, and Informatics and the 2019 Systems, Man, and Cybernetics Conference.

Prof. Fakhri Karray (IEEE Fellow)

University of Waterloo, Canada

Biography: TBA

Invited Speakers

Prof. Kamran Iqbal

University of Arkansas, USA

Biography: Kamran Iqbal obtained his MS and Ph.D. degrees in Electrical Engineering, and an MBA degree from the Ohio State University. He has held teaching and/or research appointments at the Ohio State University, Northwestern University, University of California, Riverside, University of California, Irvine, California State University at Fullerton, and University of Arkansas at Little Rock (UALR), where he currently serves as Professor of Systems Engineering. He has served as Assistant Chair of Systems Engineering department and helped launch the Masters of Systems Engineering and PhD in Engineering Science and Systems programs at UALR. He has taught a variety of courses in systems and electrical engineering program and written a book titled ‘Fundamental Engineering Optimization Methods.’ His research interests include linear systems theory, biomedical engineering, biomechatronics, and computational intelligence. He is a member of IEEE, IET (UK), ASEE, IASTED, INCOSE (former member), and Sigma Xi (former president of the Sigma Xi Central Arkansas Chapter). More information on him is available at syen.ualr.edu/kxiqbal/.


Prof. Sultan Aljahdali

Taif University, Saudi Arabia

Biography: Dr. Sultan Aljahdali is a Professor of Computer Science Department in the College of Computers and Information Technology at Taif University, Saudi Arabia. He is an internationally recognized scholar who has made strong contributions to the knowledge and understanding of Software Testing, Software Reliability models, Soft Computing, Computer Security, Reverse Engineering and Medical Imaging. He has authored and co-authored numerous books and more than 150 publications. He received a Ph.D. degree in Information Technology from George Mason University, USA in 2003, M.S. degree with honor from Minnesota State University in Mankato, and B.Sc. from Winona State University. He was Visiting Professor at Department of Computer Science at the University of Hawaii Hilo, Hawaii. As well as visiting scholar at department of Computer Science at St. Cloud State University, St. Cloud, MN, U.S.A. Prof. Aljahdali completed the leadership Program at Harvard Business School, Harvard University, Boston, USA, in 2013. He is an Inventor of the us patent number US8750618B2 "Method for coding images with shape and detail information "

Assoc. Prof. Adnan Fatih Kocamaz

Inonu University, Turkey

Biography: TBA

 Speakers of AIRC 2022  

 Speakers of AIRC 2020  

 Speakers of AIRC 2019