Plenary and Invited talks

Plenary and Invited talks
Plenary Session 1
Prof. Martin Štěpnička
University of Ostrava, Czech Republic

Title: From simple brick to smart constructions – fuzzy relational compositions and their use
Abstract

Biography
Martin Štěpnička received his habilitation (Docent – Associative Professorship) in Applied Mathematics at the University of Ostrava in 2012. Since 2021, he is the Director of the Centre of Excellence IT4Innovations – Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, where he held the vice-director and senior researcher position in the precedings years. Martin Štěpnička held the positions of the President of the European Society for Fuzzy Logic and Technology (EUSFLAT) for two consecutive terms – elected in 09/2017 and re-elected in 09/2019. He is also a Senior IEEE (CIS) Member.
He is an area Editor of JCR journals Fuzzy Sets and Systems, and International Journal of Computational Intelligence Systems, and an Editorial Board member of journals Kybernetika, and Axioms. He also served as the Guest editors of several special issues of distinct journals. His research interests mainly include fuzzy modeling, especially fuzzy inference systems and fuzz relational calculus. Research in this area lead to the FUZZ-IEEE Best Paper Award in 2016 (Vancouver, Canada) for the paper “On the Satisfaction of Moser-Navara Axioms for Fuzzy Inference Systems”.


Plenary Session 2
Prof. Yoichiro Maeda
Ritsumeikan University, Japan

Title: Research on Human Symbiotic Systems as Cooperation between Human Intelligence and Artificial Intelligence
Abstract

Biography
Prof. Yoichiro Maeda is a professor of College of Information Science and Engineering in Ritsumeikan University. He graduated the master course of the Graduate School of Engineering in Osaka University in 1983. Then he worked in the Central Research Laboratory in Mitsubishi Electric Corporation. Next, he acted the senior researcher of Laboratory for International Fuzzy Engineering Research (LIFE) in 1989 to 1992, and the associate professor of Osaka Electro-Communication University in 1995. And after working as the visiting researcher of University of British Columbia (UBC), Canada in 1999 to 2000, he arrived at the associate professor of Faculty of Engineering in University of Fukui in 2002 and then the professor of Osaka Institute of Technology in 2013, Institute of Technologists in 2015, Ritsumeikan University in 2017. His major research interests are in the Human-Robot interaction based on soft computing methods. He was a chairman of the Special Interest Group on Human Symbiotic Systems (HSS) of the Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT) in 2007 to 2020. Now, he is also a president of the academic society SOFT.


Plenary Session 3
Prof. Keon Myung Lee
Chungbuk National University, Korea

Title: How Have They Managed to Train Spiking Neural Networks?
Abstract

Biography
He received his BS, MS, and Ph.D. degrees in computer science from KAIST(Korea Institute of Science and Technology), Korea and was a Post-doc fellow in INSA de Lyon, France. He was a visiting professor in University of Colorado at Denver and a visiting scholar in Indiana University, USA. After having an industrial career at Silicon Valley, USA, he joined Dept. of Computer Science, Chungbuk National University, Korea in 1995. Now he is a professor in the department. He had served as the Editor-in-Chief of International Journal of Fuzzy Logic and Intelligent Systems. His principal research interests are in machine learning, deep learning, soft computing, big data processing, and intelligent service systems.


Invited Session 1
Prof. Seyed Mahmoud Taheri
University of Tehran, Iran

Title: What is intelligence?
Abstract

Biography
Seyed Mahmoud Taheri received his B.Sc. in Statistics in 1988 and M.Sc. in Mathematical Statistics in 1991 both from Ferdowsi University of Mashhad, Iran. He continued his education towards a Ph.D. in Statistical Inference at Shiraz University in 1995. He spent two semesters at the Department of Statistics, University of British Columbia (UBC), Vancouver, Canada, as a visiting researcher before he received his Ph.D. in 2000. He continued his career at IUT from 2000 to 2007 and as an Assistant and Associate Professor. In 2012, he joined the College of Engineering, University of Tehran, Tehran, Iran, where he has been a professor since 2016. Professor Taheri is the author or co-author of over 65 original papers published in international journals, and 45 articles published in international conference proceedings. Additionally, he has authored or co-authored three books, 20 descriptive papers, and 35 conference papers in Farsi. He has also supervised 22 Master’s thesis and 5 Ph.D. dissertations. Professor Taheri’s research interests are Statistical Inference, Fuzzy Probability, Fuzzy Statistics, and Regression Modeling in Fuzzy Environments.


Invited Session 2
Prof. Ram Sarkar
Jadavpur University, India

Title: Feature Selection for Big Data Analytics: Challenges and Trends
Abstract

Biography
Ram Sarkar received his B. Tech degree in Computer Science and Engineering from University of Calcutta, India in 2003. He received his M.E. degree in Computer Science and Engineering and PhD (Engineering) degree from Jadavpur University, Kolkata, India in 2005 and 2012 respectively. He joined the department of Computer Science and Engineering of Jadavpur University as an Assistant Professor in 2008, where he is now working as a Professor. He received Fulbright-Nehru Fellowship (USIEF) for post-doctoral research in University of Maryland, College Park, USA in 2014-15. He has published more than 250 papers in various conference proceedings and journals. His research areas include Image and Video Processing, Optimization Algorithms and Deep Learning. He is a senior member of the IEEE, U.S.A.


Invited Session 3
Prof. HyungWon Kim
Chungbuk National University, Korea

Title: New Approaches to CNN Accelerator Design and Optimization for Edge AI
Abstract

Biography
HyungWon Kim is a professor in Chungbuk National University, South Korea, since 2013. His current research interests include the areas of deep learning for image recognition and autonomous driving, CNN compression for embedded systems, neural network accelerator SoC chip design, low power sensors, and wireless vehicular communications.
He received the B.S. and M.S. degrees in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST) in 1991 and 1993, respectively, and the Ph.D. degree in electrical engineering and computer science from the University of Michigan, Ann Arbor, MI, USA, in 1999. From 1998 to 2005, he worked for various companies in Silicon Valley including Intel, Synopsys, and Broadcom, where he developed low power circuits for Mobile Pentium processors, EDA software for Design Compiler, and network processor chips for WiFi and 3G. In 2005, he founded a wireless chip maker (XRONet Corp) where he developed wireless chips and software for WiMAX and WiFi, and launched commercial products with mass-production.


Invited Session 4
Prof. Ching‐Chih Tsai
National Chung‐Hsing University, Taichung, Taiwan

Title: Adaptive Fuzzy Control and Robotics Using Fuzzy Deep and Broad Learning Neural Networks
Abstract

Biography
Ching‐Chih Tsai received the Diplomat in Electrical Engineering from National Taipei Institute of Technology, Taipei, Taiwan, ROC, the MS degree in Control Engineering from National Chiao Tung University, Hsinchu, Taiwan, and the Ph.D degree in Electrical Engineering from Northwestern University, Evanston, IL, USA, in 1981, 1986 and 1991, respectively. Currently, he is currently a Life Distinguished Professor in the Department of Electrical Engineering, National Chung‐Hsing University, Taichung, Taiwan, where he served the Chairman in the Department of Electrical Engineering from 2012 to 2014. Since February, 2021, he has also served the Dean of the R&D Office, NCHU. He is a Fellow of IEEE, IET, CACS, and RST