Professor Junmo Kim received the B.S. degree from Seoul National University, Seoul, Korea in 1998, and the M.S. and Ph.D. degrees from the Massachusetts Institute of Technology (MIT), Cambridge in 2000 and 2005 respectively. From 2005 to 2009, he was with the Samsung Advanced Institute of Technology (SAIT), Korea, as a Research Staff Member. He joined the faculty of KAIST in 2009, where he is currently an Associate Professor of electrical engineering. His research interests are in image processing, computer vision, statistical signal processing, and information theory.
Professor Jong-Hwan Kim (FIEEE’09) received the Ph.D. degree in electronics engineering from Seoul National University, Korea, in 1987. Since 1988, he has been with the School of Electrical Engineering, KAIST, Korea, where he is leading the Robot Intelligence Technology Laboratory as Professor. Dr. Kim is Director for both of KoYoung-KAIST AI Joint Research Center and Machine Intelligence and Robotics Multi-Sponsored Research and Education Platform. His research interests include intelligence technology, machine intelligence learning, and AI robots. He has authored 5 books and 5 edited books, 2 journal special issues and around 400 refereed papers in technical journals and conference proceedings.
Professor Jon Platts is the Dean of Cardiff School of Technologies at Cardiff Metropolitan University and Professor of Autonomous Systems. Jon took up this role following careers in the UK Royal Air Force and industry research and development. He has had commercial success with his own company Muretex, winning significant, nationally competed, research grant funding; including Innovate UK funding for Robotics and Autonomous Systems. He has international contacts and reach, having proposed and chaired 2 European research action groups over 8 years and been invited to deliver a NATO lecture series on autonomy. Jon was the Head of Autonomy for QinetiQ for 13 years, shaping the direction of research programmes and co-ordinating multi-organisation teams (from QinetiQ, Dstl, BAE Systems, Thales UK, the Military and Academia) and multi-disciplinary teams. In his current role Jon leads the ambitious multi-million pound Cardiff School of Technologies development, to further establish Cardiff Metropolitan University as a world leader within the tech industry. Teaching and research will focus on areas such as data science, cyber security, mobile computing, artificial intelligence and autonomous systems engineering. Jon holds a BEng in Electrical and Electronic Engineering from the University of Bradford, an MSc in Aerosystems Engineering and a PhD in Self organising fuzzy logic, both from Loughborough University. He is a Chartered Engineer and Fellow of the Institution of Engineering and Technology and a member of both the Institution of Measurement and Control and the International Council on Systems Engineering.
Pengcheng Liu received the B.Eng. degree in measurement and control and the M.Sc. degree in control theory and control engineering from Zhongyuan University of Technology, China, in 2007 and 2012, respectively, and the Ph.D. degree in robotics and control from Bournemouth University, UK, in 2017. He is currently a Lecturer (Tenured Assistant Professor) at the Department of Computer Science, University of York, UK. Before joining York, he has held several academic positions including a Senior Lecturer at Cardiff School of Technologies, Cardiff Metropolitan University, UK, a joint Research Fellowship at Lincoln Centre for Autonomous Systems (LCAS) and Lincoln Institute of Agri-Food Technology (LIAT), University of Lincoln, UK, a Research Assistant and a Teaching Assistant at Bournemouth University, UK, and a Lectureship at Zhongyuan University of Technology, China. He also held academic positions as a Visiting Fellow at Institute of Automation, Chinese Academy of Sciences, China and Shanghai Jiao Tong University, China. He is a member of IEEE, IEEE Robotics and Automation Society (RAS), IEEE Control Systems Society (CSS) and International Federation of Automatic Control (IFAC). He is also a member of the IEEE Technical Committee on Bio Robotics, Soft Robotics, Robot Learning, and Safety, Security and Rescue Robotics. He is an Associate Editor of IEEE Access and he received the Global Peer Review Awards from Web of Science in 2019, and the Outstanding Contribution Awards from Elsevier in 2017. He has published over 60 papers on flagship journals and conferences. He was nominated as a regular Funding/Grants reviewer for EPSRC, NIHR and NSFC and he has been leading and involving in several research projects and grants, including EPSRC, Newton Fund, Innovate UK, Horizon 2020, Erasmus Mundus, FP7-PEOPLE, NSFC, etc. He serves as reviewers for over 30 flagship journals and conferences in robotics, AI and control, e.g NEUNET, NODY, JINT, ICRA, IROS, RA-L, NCAA, etc. His research interests include robotics, mac
