Keynotes

Assoc. Prof. Janos Botzheim

Budapest University of Technology and Economics,  Hungary

Title: TBA

Bio:

Janos Botzheim’s degrees earned: Budapest University of Technology and Economics: M.Sc. in Technical Informatics (2001), Ph.D. in Computer Science (2008). Visiting positions: long-term and short-term visits and scholarships as Ph.D. student at the following Universities: Czech Technical University, Prague, Czech Republic (2002, 1 month); Johannes Kepler University, Linz, Austria (4 months in 2003, 2 months in 2004, 4 months in 2005); Cracow University of Technology, Cracow, Poland (2003, 1 month); The Australian National University, Department of Computer Science, Canberra, Australia (8 months, 2005-2006). He joined the Department of Automation at the Szechenyi Istvan University, Gyor, Hungary in 2007 as a senior lecturer, in 2008 as an assistant professor, and in 2009 as an associate professor. He was a visiting researcher in the Graduate School of System Design at the Tokyo Metropolitan University from September 2010 to March 2011 and from September 2011 to February 2012. He was an associate professor in the Graduate School of System Design at the Tokyo Metropolitan University from April 2012 to March 2017. He is an associate professor in the Department of Mechatronics, Optics and Mechanical Engineering Informatics at Budapest University of Technology and Economics since February 2018. Research interests: computational intelligence, automatic identification of fuzzy rule based models and some neural networks models, bacterial evolutionary algorithm, memetic algorithms, applications of computational intelligence in robotics, cognitive robotics. Membership in scientific societies: John von Neumann Computer Society, Hungarian Academy of Engineering, Hungarian Fuzzy Association, IEEE. He has about 180 papers in journals and conference proceedings. The number of his known independent citations is about 560. He has been an invited reviewer of several scientific journals and conferences.

Abstract: TBA

Assoc.Prof. Celimuge Wu

The University of Electro-Communications, Japan

Title: TBA

Bio:

Celimuge Wu received his PhD degree from The University of Electro-Communications, Japan in 2010. He has been an associate professor of The University of Electro-Communications since 2015. His research interests include Vehicular Networks, Edge Computing, IoT, Intelligent Transport Systems, and Application of Machine Learning in Wireless Networking and Computing. He is/has been a General Co-Chair, TPC Co-Chair, or a Track Co-Chair of many conferences including ICT-DM 2021, Wireless Days 2021, Wireless Days 2019, ICT-DM 2018, IEEE VTC-Spring 2020, ICCCN 2019, IEEE PIMRC 2016, and IEEE ISC2 2017. He serves as an associate editor of IEEE Transactions on Network Science and Engineering, IEEE Transactions on Green Communications and Networking, China Communications, Wireless Networks, IEICE Transactions on Communications, and International Journal of Distributed Sensor Networks. He also has been a guest editor of IEEE Transaction on Intelligent Transportation Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Computational Intelligence Magazine, ACM/Springer MONET etc. He serves as an expert member of IEICE Technical Committee on Communication Quality. He is the chair of IEEE TCGCC Special Interest Group on Green Internet of Vehicles and IEEE TCBD Special Interest Group on Big Data with Computational Intelligence. He received IEEE Computer Society 2019 Best Paper Award Runner-Up. He is a senior member of IEEE.

Abstract: TBA

Prof. Jiangtao Cao

Liaoning Shihua University, China

Title: TBA

Bio:

Jiangtao Cao, Professor in Intelligent Systems, Dean of School of Information and Control Engineering, Liaoning Shihua University. His research interests are focused primarily on computational intelligence and its application, with an emphasis on enhancing real-time performance of algorithms via application contextual information. He has proposed a theoretical framework of adaptive interval fuzzy reasoning to enhance the data mining ability from interval information. This research has provided a novel way to handle computational cost and information accuracy through introducing contextual information. It has been recognized by peers with one Best Paper Award and one Best Competition Prize in international leading conferences, and journal articles. He is an elected member for Youth Working Committee of Chinese Automation Association, and elected member for Robotics Committee of Chinese Automation Association. Furthermore, he served as a symposium chairman, program chair, session chairs, program committee members and reviewers for over 20 international conferences and 10 international leading journals. He served as PI(principal investigator) for more than 10 projects from Government and Industry, including the National Natural Science Foundation of China, Ministry of Education of China, Natural Science Foundation of Liaoning Province. He has published over 40 refereed international journal and conference papers in intelligent systems, such as IEEE Transactions on Intelligent Transportation Systems, International Journal of Fuzzy Systems and IEEE International Conference on Fuzzy Systems.

Abstract: TBA

Prof. Naoyuki Kubota

Tokyo Metropolitan University, Japan

Title: TBA

Bio:

Naoyuki Kubota graduated from Osaka Kyoiku University in 1992, received the M.E. degree from Hokkaido University in 1994, and received the D.E. degree from Nagoya University, Japan in 1997. He was an Assistant Professor and Lecturer at the Department of Mechanical Engineering, Osaka Institute of Technology, Japan, from 1997 to 2000. In 2000, he joined the Department of Human and Artificial Intelligence Systems, the School of Engineering, Fukui University, as an Associate Professor. He joined the Department of Mechanical Engineering, the Graduate School of Engineering, Tokyo Metropolitan University, Japan, as an Associate Professor in 2004. He was an Associate Professor from 2005 to 2012, and a Professor from 2012 to 2017 at the Department of Systems Design, the graduate School of System Design, Tokyo Metropolitan University, Japan. He is currently a Professor at the Department of Mechanical Systems Engineering, the Graduate School of Systems Design, Tokyo Metropolitan University, Japan. He was a Visiting Professor at University of Portsmouth, UK, in 2007 and 2009, and was an Invited Visiting Professor at Seoul National University from 2009 to 2012. His current interests are in the fields of coevolutionary computation, fuzzy control, spiking neural networks, perception-based robotics, robot partners, and informationally structured space. He has published more than 200 refereed journal and conference papers in the above research fields. He received the Best Paper Award of IEEE IECON’96, the Best Paper Award of IEEE CIRA’97, and so on. He was an associate editor of the IEEE Transactions on Fuzzy Systems from 1999 to 2010, the IEEE CIS Intelligent Systems Applications Technical Committee, Robotics Task Force Chair from 2007 to 2014, IEEE Systems, Man, and Cybernetics Society, Japan Chapter Chair since 2018, and others.

Abstract: TBA