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Prof. Chang-Shing Lee
Prof. Chang-Shing Lee
Chang-Shing Lee earned his undergraduate degree from the Chung Yuan Christian University, Taoyuan City, Taiwan, and his graduate degree and Ph.D. degree in computer science and information engineering from the National Cheng Kung University, Tainan, Taiwan, in 1998. He is currently a professor with the Department of Computer Science and Information Engineering, National University of Tainan, Taiwan.
Prof. Kunihiko Fukushima
Prof. Kunihiko Fukushima
Kunihiko Fukushima received a B.Eng. degree in electronics in 1958 and a PhD degree in electrical engineering in 1966 from Kyoto University, Japan. He was a professor at Osaka University from 1989 to 1999, at the University of Electro-Communications from 1999 to 2001, at Tokyo University of Technology from 2001 to 2006; and a visiting professor at Kansai University from 2006 to 2010. Prior to his Professorship, he was a Senior Research Scientist at the NHK Science and Technology Research Laboratories. He is now a Senior Research Scientist at Fuzzy Logic Systems Institute (part-time position), and usually works at his home in Tokyo.
He received the Achievement Award and Excellent Paper Awards from IEICE, the Neural Networks Pioneer Award from IEEE, APNNA Outstanding Achievement Award, Excellent Paper Award from JNNS, INNS Helmholtz Award, and so on. He was the founding President of JNNS (the Japanese Neural Network Society) and was a founding member on the Board of Governors of INNS (the International Neural Network Society). He is a former President of APNNA (the Asia-Pacific Neural Network Assembly).
Prof. Li-Wei Ko
Prof. Li-Wei Ko
Li-Wei Ko (Member, IEEE) is currently a Professor with the Institute for Bioinformatics and Systems Biology, National Chiao Tung University, Taiwan. He is also the Director of the Interdisciplinary Neuroscience Ph.D. Program, National Chiao Tung University. His primary research interests include neural engineering, including brain–computer interfaces, neural rehabilitation, and computational neuroscience, and especially for developing the mobile and wireless brain–machine interface for daily life applications. He is the Chair of IEEE Computational Intelligence Society Taipei Chapter. He has served as an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, from 2010 to 2015. He has been serving as an Associate Editor for the IEEE Transactions on Neural Systems and Rehabilitation Engineering, since 2019.
Prof. Giovanni Acampora
Prof. Giovanni Acampora
Giovanni Acampora (Senior Member, IEEE) received the Ph.D. degree in computer science from the University of Salerno, Fisciano, Italy, in 2007.,From July 2011 to August 2012, he was a Hoofddocent Tenure Track of process intelligence with the School of Industrial Engineering, Information Systems, Eindhoven University of Technology, Eindhoven, The Netherlands. He was a Reader of computational intelligence from the School of Science and Technology, Nottingham Trent University, Nottingham, U.K., from September 2012 to June 2016. Since 2016, he has been an Associate Professor of artificial intelligence with the University of Naples Federico II. He is the Chair of IEEE-SA 1855WG, the working group that has published the first IEEE standard in the area of fuzzy logic. His main research interests include computational intelligence, fuzzy modeling, evolutionary computation, and ambient intelligence. Prof. Acampora is a member of the scientific board of the Interdepartmental Center for Advanced RObotics in Surgery (ICAROS). He was a recipient of two prestigious awards: the IEEE-SA Emerging Technology Award in 2016 and the 2019 Canada-Italy Innovation Award for Emerging Technologies. In 2017, he acted as a General Chair of IEEE International Conference on Fuzzy Systems, the top leading conference in the area of fuzzy logic. He serves as an Editor in Chief of Springer Quantum Machine Intelligence, an Associate Editor of Springer Soft Computing, and an editorial board member of Springer Memetic Computing, Elsevier Heliyon, Inderscience International Journal of Autonomous and Adaptive Communication Systems, and the IEEE Transactions on Fuzzy Systems.
Prof. Marek Reformat
Prof. Marek Reformat
Marek Reformat focus on developing more human-aware and human-like systems via combining:
elements of Computational Intelligence - granular (fuzzy) computing, neuro computing, and evolutionary computing - able to capture relationships between pieces of data and knowledge, as well as mimic human ways of reasoning;
with
techniques capable of dealing with uncertainty - possibility theory, probability theory, Dempster-Shafer's evidence theory;
and with
Semantic Web based knowledge representation forms, especially Resource Description Framework (RDF)
Prof. Yusuke Nojima
Prof. Yusuke Nojima
Yusuke Nojima received the B.S. and M.S. Degrees in mechanical engineering from Osaka Institute of Technology, Osaka, Japan, in 1999 and 2001, respectively, and the Ph.D. degree in system function science from Kobe University, Hyogo, Japan, in 2004. Since 2004, he has been with Osaka Prefecture University, Osaka, Japan, where he was a Research Associate and is currently an Associate Professor in Department of Computer Science and Intelligent Systems. His research interests include evolutionary fuzzy systems, evolutionary multiobjective optimization, and parallel distributed data mining. He was a guest editor for several special issues in international journals. He was a task force chair on Evolutionary Fuzzy Systems in Fuzzy Systems Technical Committee of IEEE Computational Intelligence Society. He was an associate editor of IEEE Computational Intelligence Magazine (2014-2019).
Prof. Naoyuki Kubota
Prof. Naoyuki Kubota
Naoyuki Kubota received the B.Sc. degree from Osaka Kyoiku University, Kashiwara, Japan, in 1992, the M.Eng. degree from Hokkaido University, Hokkaido, Japan, in 1994, and the D.E. degree from Nagoya University, Nagoya, Japan, in 1997.,He joined the Osaka Institute of Technology, Osaka, Japan, in 1997. He joined the Department of Human and Artificial Intelligence Systems, University of Fukui, Fukui, Japan, as an Associate Professor, in 2000. He joined the Department of Mechanical Engineering, Tokyo Metropolitan University, Tokyo, in 2004. He was an Associate Professor (2005–2012), and has been a Professor with the Department of System Design, Tokyo Metropolitan University, since 2012.
Dr. Eri Sato-Shimokawara
Dr. Eri Sato-Shimokawara
Eri Sato-Shimokawara (S'04–M'07) received the B.E., M.E., and D.E. degrees in systems engineering science from the Tokyo Metropolitan Institute of Technology, Tokyo, Japan, in 2002, 2004, and 2007, respectively.,She was a Research Fellow of Japan Society for the Promotion of Science from 2004 to 2007. She has been an Assistant Professor with the Faculty of System Design, Tokyo Metropolitan University, Hachioji, Japan, since 2007. Her current research interests include human–machine interactions, multimodal interactions, soft computing, and intelligent robotics.,Dr. Sato-Shimokawara is a member of the Institute of Electronics Information and Communication Engineers, the Japan Society for Fuzzy Theory and Intelligent Information, and the Japanese Society for Artificial Intelligence.
Dr. Wei Hong Chin
Dr. Wei Hong Chin
Wei Hong Chin completed his B.E. (Hons.) degree in Robotics and Automation from the Multimedia University, Malaysia in 2011. He received the Master of Computer Science degree from the University of Malaya, Kuala Lumpur, Malaysia, in 2015 and the Ph.D. degree from the Tokyo Metropolitan University, Tokyo, Japan, in 2019. He is currently an assistant professor in the Department of Systems Design of Tokyo Metropolitan University. His current research interests include biologically-inspired robot navigation, lifelong machine learning, biologically-inspired robot mapping, and multimodal learning. He has published more than 20 refereed journal and conference papers in the interest research area. He has served as the session chair of ICIRA 2019 and WCCI 2020.
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