ICMLT 2021 Keynote Speaker
IEEE Fellow, Fellow of the Korean Academy of Science and Technology, an ICROS Fellow
Prof. Keum-Shik Hong, Pusan National University, South Korea
Biography: Keum-Shik Hong received his B.S. degree in Mechanical Design and Production Engineering from Seoul National University in 1979, his M.S. degree in Mechanical Engineering from Columbia University, New York, in 1987, and both an M.S. degree in Applied Mathematics and a Ph.D. in Mechanical Engineering from the University of Illinois at Urbana-Champaign (UIUC) in 1991. Dr. Hong joined the School of Mechanical Engineering at Pusan National University (PNU) in 1993. In 2009, under the auspices of the World Class University Program of the Ministry of Education, Science and Technology (MEST) of Korea, he established the Department of Cogno-Mechatronics Engineering, PNU.
Dr. Hong serves as Editor-in-Chief of the International Journal of Control, Automation, and Systems, and served as Editor-in-Chief of the Journal of Mechanical Science and Technology (2008-2011), and as Associate Editor of Automatica (2000-2006). He also serves as AEs for the Frontiers in Neurorobotics and the Brain-Computer Interfaces. He has also been General Secretary of the Asian Control Association (2006-2008), and was Organizing Chair of the ICROS-SICE International Joint Conference 2009, Fukuoka, Japan. He is a past president of the Institute of Control, Robotics and Systems. He is President-Elect of Asian Control Association.
He is an IEEE Fellow, a Fellow of the Korean Academy of Science and Technology, an ICROS Fellow, a Member of the National Academy of Engineering of Korea, and many other societies. His Integrated Dynamics and Control Engineering Laboratory was designated a National Research Laboratory by the MEST of Korea in 2003. He is the Director of the Institute of Advanced Construction and Conveying Machinery. Dr. Hong’s current research interests include brain-computer interface, nonlinear systems theory, adaptive control, distributed parameter systems, autonomous systems, and innovative control applications in brain engineering.
Fellow of Royal Society of New Zealand, Fellow of IEEE
Prof. Mengjie Zhang, Victoria University of Wellington, New Zealand
Title: Evolutionary Deep Learning and Applications
Biography: Mengjie received his BE and ME respectively in 1989 and 1992 from China and his PhD in Computer Science from RMIT Univerity, Australia in 2000. Since 2000, He has been working as a lecturer then senior lecturer, Associate Professor/Reader, and now Professor of Computer Science at Victoria University of Wellington, New Zealand. He has published over 500 academic papers in refereed international journals and conferences. Since 2007, he has been listed as one of the top five world genetic programming researchers by the GP bibliography. Since 2005, he has been awarded over four million dollars of research grants from NZ Government funding such as four Marsden Fund (NSF), FRST/MSI/MBIE, NSC/SfTI, and BuidIT, and international reputed grants including ARC (Australia) and NSFC (China), and Industry including Huawei NZ.
He is a Fellow of Royal Society of New Zealand, a Fellow of IEEE, and have been a Panel member of the Marsden Fund (NZ Government Funding). He is currently the Associate Dean (Research and Innovation) for the Faculty of Engineering, the Chair of the Research Committee of the Faculty and the School of Engineering and Computer Science, and the Representative of the Faculty of Engineering on the University Scholarships Committee. He also heads the interdisciplinary Evolutionary Computation Research Group at the University.
IEEE Fellow, Prof. Ponnuthurai Nagaratnam Suganthan, Nanyang Technological University, Singapore
Title: Randomization-Based Deep and Shallow Machine Learnin
Biography: Ponnuthurai Nagaratnam Suganthan received the B.A degree, Postgraduate Certificate and M.A degree in Electrical and Information Engineering from the University of Cambridge, UK in 1990, 1992 and 1994, respectively. He received an honorary doctorate (i.e. Doctor Honoris Causa) in 2020 from University of Maribor, Slovenia. After completing his PhD research in 1995, he served as a pre-doctoral Research Assistant in the Dept of Electrical Engineering, University of Sydney in 1995–96 and a lecturer in the Dept of Computer Science and Electrical Engineering, University of Queensland in 1996–99. He moved to Singapore in 1999. He is an Editorial Board Member of the Evolutionary Computation Journal, MIT Press (2013-2018). He is/was an associate editor of the Applied Soft Computing (Elsevier, 2018-), Neurocomputing (Elsevier, 2018-), IEEE Trans on Cybernetics (2012 - 2018), IEEE Trans on Evolutionary Computation (2005 - ), Information Sciences (Elsevier) (2009 - ), Pattern Recognition (Elsevier) (2001 - ) and Int. J. of Swarm Intelligence Research (2009 - ) Journals. He is a founding co-editor-in-chief of Swarm and Evolutionary Computation (2010 - ), an SCI Indexed Elsevier Journal. His co-authored SaDE paper (published in April 2009) won the "IEEE Trans. on Evolutionary Computation outstanding paper award" in 2012. His former PhD student, Dr Jane Jing Liang, won the IEEE CIS Outstanding PhD dissertation award, in 2014. His research interests include swarm and evolutionary algorithms, pattern recognition, big data, deep learning and applications of swarm, evolutionary & machine learning algorithms. His publications have been well cited. His SCI indexed publications attracted over 1000 SCI citations in each calendar year since 2013. He was selected as one of the highly cited researchers by Thomson Reuters yearly from 2015 to 2019 in computer science. He served as the General Chair of the IEEE SSCI 2013. He has been a member of the IEEE (S'90, M'92, SM'00, F'15) since 1991 and an elected AdCom member of the IEEE Computational Intelligence Society (CIS) in 2014-2016. He is an IEEE CIS distinguished lecturer (DLP) in 2018-2020.