Prof. Li, Han Xiong,
BE-Aerospace(NUDT), IEEE Fellow,
City University of Hong Kong, Hong Kong
Speech title: Multi-scale Control Design for Intelligent Manufacturing
Abstract: The intelligent manufacturing systems should have capabilities of flexibility, adaptability, and intelligence, etc.. As complexity keeps increasing in the manufacturing, this will require the control action to be distributed, and to be integrated with different approaches including system design and intelligence-based method.
For multi-time scale systems, the system should be designed for robust performance at the fast scale, and the statistics-based control will be applied at the slow-time scale for the consistent performance.
For the spatially distributed dynamic system, the uniform temporal performance is often required over the entire spatial domain. This strong space/time coupled dynamics makes the modeling and control extremely difficult, particularly under the limited sensing and actuating.
Intelligent manufacturing will need the decision system for the high-level supervision and management. The probabilistic-fuzzy system would be a useful platform as it possesses the capability to produce linguistic rules under both deterministic uncertainty and stochastic variation.
Control action will be different at different scales: more design at the fast time scale, and more control at the slow time scale; more quantitative action at the low-level operation, and more qualitative action at the high-level supervision. The integration of all these approaches is a large-scale challenge.
Biography: Han-Xiong LI (李涵雄) received his B.E. degree in aerospace engineering from the National University of Defence Technology, China, M.E. degree in electrical engineering from Delft University of Technology, Delft, The Netherlands, and Ph.D. degree in electrical engineering from the University of Auckland, Auckland, New Zealand.
Currently, he is a full professor in the Department of Systems Engineering and Engineering Management, the City University of Hong Kong. Over the last thirty years, he has had opportunities to work in different fields, including military service, investment, industry, and academia. He published over 190 SCI journal papers with h-index 36 (ISI web of science). He has been rated as highly cited Chinese scholar by Elsevier since 2014. His current research interests are in system intelligence and control, integrated process design and control, distributed parameter systems, intelligent learning and decision informatics.
Dr. Li serves as Associate Editor of IEEE Transactions on Systems, Man & Cybernetics: system (2016- ), IEEE Transactions on Cybernetics (2002-2016), and IEEE Transactions on Industrial Electronics (2009-2015). He was awarded the Distinguished Young Scholar (overseas) by the China National Science Foundation in 2004, a Chang Jiang professor by the Ministry of Education, China in 2006, and a national professorship in China Thousand Talents Program in 2010. He serves as the distinguished expert for Hunan Government and China Federation of Returned Overseas. He is a fellow of the IEEE.
Prof Meng Joo Er, Nanyang Technological University, Singapore
Title: Intelligent Automation: Recent Developments and Futuristic Trends
Abstract: Intelligent automation, the combination of artificial intelligence and automation, is already helping companies transcend conventional performance tradeoffs to achieve unprecedented levels of efficiency and quality. Applications range from the routine (collecting, analyzing, and making decisions about textual information) to the revolutionary (guiding autonomous vehicles and advanced robots). In this talk, recent developments of Intelligent Automation with applications in the healthcare industry, domestic services, surveillance and security, etc will be reviewed. The futuristic trends and challenges will also be discussed.
Biography: Professor Meng Joo Er is currently a Full Professor in Electrical and Electronic Engineering, Nanyang Technological University, Singapore. He served as the Founding Director of Renaissance Engineering Programme and an elected member of the NTU Advisory Board from 2009 to 2012. Furthermore, he served as a member of the NTU Senate Steering Committee from 2010 to 2012.
He has authored five books entitled “Dynamic Fuzzy Neural Networks: Architectures, Algorithms and Applications” and “Engineering Mathematics with Real-World Applications” published by McGraw Hill in 2003 and 2005 respectively, and “Theory and Novel Applications of Machine Learning” published by In-Tech in 2009, “New Trends in Technology: Control, Management, Computational Intelligence and Network Systems” and “New Trends in Technology: Devices, Computer, Communication and Industrial Systems”, both published by SCIYO, 18 book chapters and more than 500 refereed journal and conference papers in his research areas of interest.
Professor Er was bestowed the Web of Science Top 1 % Best Cited Paper and the Elsevier Top 20 Best Cited Paper Award in 2007 and 2008 respectively. In recognition of the significant and impactful contributions to Singapore’s development by his research projects, Professor Er won the Institution of Engineers, Singapore (IES) Prestigious Engineering Achievement Award twice (2011 and 2015). He is also the only dual winner in Singapore IES Prestigious Publication Award in Application (1996) and IES Prestigious Publication Award in Theory (2001). Under his leadership, the NTU Team emerged first runner-up in the Freescale Technology Forum Design Challenge 2008. He received the Teacher of the Year Award for the School of EEE in 1999, School of EEE Year 2 Teaching Excellence Award in 2008, the Most Zealous Professor of the Year Award in 2009 and the Outstanding Mentor Award in 2014. He also received the Best Session Presentation Award at the World Congress on Computational Intelligence in 2006, the Best Presentation Award at the International Symposium on Extreme Learning Machine 2012, Best Paper Award (First Prize) at the International Automatic Control Conference 2016 and Best Presentation Award at the IEEE International Conference on Intelligent Control, Power and Instrumentation (ICICPI) 2016. On top of this, he has more than 60 awards received at international and local competitions.
Currently, Professor Er serves as the Editor-in-Chief of 3 international journals, namely International Journal of Intelligent Autonomous Systems, Transactions on Machine Learning and Artificial Intelligence and the International Journal of Electrical and Electronic Engineering and Telecommunications. He also serves an Area Editor of International Journal of Intelligent Systems Science and an Associate Editor of 14 refereed international journals, namely IEEE Transaction on Cybernetics, Information Sciences, Neurocomputing, Asian Journal of Control, International Journal of Fuzzy Systems, ETRI Journal, International Journal of Humanoid Robots, International Journal of Modelling, Simulation and Scientific Computing, International Journal of Applied Computational Intelligence and Soft Computing, International Journal of Business Intelligence and Data Mining, International Journal of Fuzzy and Uncertain Systems, International Journal of Automation and Smart Technology, International Journal of Intelligent Information Processing and an editorial board member of the Open Automation and Control Systems Journal and the EE Times.
Professor Er has been invited to deliver more than 60 keynote speeches and invited talks overseas. He has also been active in professional bodies. He has served as Chairman of IEEE Computational Intelligence Society (CIS) Singapore Chapter (2009 to 2011) and Chairman of IES Electrical and Electronic Engineering Technical Committee (EEETC) (2004 to 2006 and 2008 to 2012). Under his leadership, the IEEE CIS Singapore Chapter won the CIS Outstanding Chapter Award 2012 (The Singapore Chapter is the first chapter in Asia to win the award). In recognition of his outstanding contributions to professional bodies, he was bestowed the IEEE Outstanding Volunteer Award (Singapore Section) and the IES Silver Medal in 2011. Due to his outstanding contributions in education, research, administration and professional services, he is listed in Who’s Who in Engineering, Singapore, Edition 2013.
Prof. Dong Hwa Kim, Hanbat National University, South Korea, KEC Director of TDTU&President of HuCare
Speech Title: Research Motivation and Hybrid Artificial Intelligence for the Automatic Control in 4th Wave Era of 21C?
Abstract: Many experts have been predicting that the Fourth Industrial Revolution on the Digital Revolution will change the social situation such as life style, product method, city, education, and etc. That is, our life pattern will be changed by robotics, artificial intelligence, nanotechnology, quantum computing, biotechnology, IoT (Internet of Things), 3D printing, and autonomous vehicles.
It means these technologies will lead economy and can give opportunities to get a job. Of course, automation and product method will be changed by these technologies. So, as researcher and engineer, we should create on how an institution is organized, how it defines operation, how it relates to surrounding communities or teams, how it responds to research solutions or the results, and how it takes part in the strategies and plan.
With the results, technology will go to convergences and smart which gives an impact to works in plan for research, education. For that we need to connect research experiences and create idea.
This lecture deals with research motivation and hybrid artificial intelligence for automation, offers various research materials about hybrid artificial intelligence method and emotional technology as artificial intelligence obtained from research experience. Conclusion suggests many possible approaches and why it is important at this point to introduce artificial intelligence, especially why we should recognize and study emotion technology earlier.
And this lecture also gives why we should innovate and how we can obtain a good idea for emotion as topic of 4th wave through experience.
Biography: Professor Dong Hwa Kim received his two PhD degrees at the Department of Electronic Engineering, at Ajou University in Korea and at the Department of Computational Intelligence and Systems Science at the Tokyo Institute of echnology. Since 1993 he is a Professor at the Department of Instrumentation and Control Engineering, at Hanbat National University. He is currently the President of Daedeok Korea‐India Forum and Vice‐President of Daedeok Korea‐Japan Forum. He is the author of a number of papers and articles and the co‐author of two books: Hybrid Genetic Algorithm and Bacterial Foraging Approach for Global Optimization and Robust Tuning of PID Controller with Distrbance Rejection and Hybrid Genetic: Particle Swarm Optimization Algorithm. Among his many awards, he received, in 2010, the International Einstein Award for Scientific achievement; in 2008, he was included in the Top 100 Engineers of the year (UK), and received the Lifetime of Scientific Achievement Award (UK) and the Universal Award of Accomplishment (USA).