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Keynote&Plenary Speakers

Speaker I

Prof. Li, Han Xiong, PhD-EE(Auckland), ME-EE(TUDelft), BE-Aerospace(NUDT), IEEE Fellow,
City University of HongKong

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.


Speaker II

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).


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