Keynote Speakers

Prof. WANG Jun
City University of Hong Kong, Hong Kong

Jun Wang is a Chair Professor of Computational Intelligence in the Department of Computer Science at City University of Hong Kong. Prior to this position, he held various academic positions at Dalian University of Technology, Case Western Reserve University, University of North Dakota, and Chinese University of Hong Kong. He also held various part-time visiting positions at US Air Force Armstrong Laboratory, RIKEN Brain Science Institute, Huazhong University of Science and Technology, Dalian University of Technology, and Shanghai Jiao Tong University as a Changjiang Chair Professor. He received a B.S. degree in electrical engineering and an M.S. degree in systems engineering from Dalian University of Technology, Dalian, China. He received his Ph.D. degree in systems engineering from Case Western Reserve University, Cleveland, Ohio, USA. His current research interests include neural networks and their applications. He published about 200 journal papers, 15 book chapters, 11 edited books, and numerous conference papers in these areas. He is the Editor-in-Chief of the IEEE Transactions on Cybernetics. He also served as an Associate Editor of the IEEE Transactions on Neural Networks (1999-2009), IEEE Transactions on Cybernetics and its predecessor (2003-2013), and IEEE Transactions on Systems, Man, and Cybernetics – Part C (2002–2005), as a member of the editorial advisory board of International Journal of Neural Systems (2006-2013), and a member of the editorial board of Neural Networks (2012-2014) as a guest editor of special issues of European Journal of Operational Research (1996), International Journal of Neural Systems (2007), Neurocomputing (2008, 2014, 2016), and International Journal of Fuzzy Systems (2010, 2011). He was an organizer of several international conferences such as the General Chair of the 13th International Conference on Neural Information Processing (2006) and the 2008 IEEE World Congress on Computational Intelligence, and a Program Chair of the IEEE International Conference on Systems, Man, and Cybernetics (2012). He has been an IEEE Computational Intelligence Society Distinguished Lecturer (2010-2012, 2014-2016). In addition, he served as President of Asia Pacific Neural Network Assembly (APNNA) in 2006 and many organizations such as IEEE Fellow Committee (2011-2012); IEEE Computational Intelligence Society Awards Committee (2008, 2012, 2014), IEEE Systems, Man, and Cybernetics Society Board of Directors (2013-2015), He is an IEEE Fellow, IAPR Fellow, and a recipient of an IEEE Transactions on Neural Networks Outstanding Paper Award and APNNA Outstanding Achievement Award in 2011, Natural Science Awards from Shanghai Municipal Government (2009) and Ministry of Education of China (2011), and Neural Networks Pioneer Award from IEEE Computational Intelligence Society (2014), among others.

Prof. Chun-Hung Chen, IEEE Fellow
George Mason University, USA

Chun-Hung Chen received his Ph.D. degree from Harvard University in 1994. He is currently a Professor at George Mason University and a 国家千人教授. Dr. Chen was an Assistant Professor at the University of Pennsylvania before joining GMU. He was also a faculty with National Taiwan University (Electrical Eng. and Industrial Eng.) from 2008-14. Sponsored by NSF, NIH, DOE, NASA, FAA, Missile Defense Agency, and Air Force in US, he has worked on the development of very efficient methodology for simulation-based decision making and its applications. He has served as a Department Editor for IIE Transactions, Department Editor for Asia-Pacific Journal of Operational Research, Associate Editor for IEEE Transactions on Automation Science and Engineering, Associate Editor for IEEE Transactions on Automatic Control, Area Editor for Journal of Simulation Modeling Practice and Theory, Advisory Editor for International Journal of Simulation and Process Modeling, and Advisory Editor for Journal of Traffic and Transportation Engineering. Dr. Chen is the author of two books, including a best seller: “Stochastic Simulation Optimization: An Optimal Computing Budget Allocation”. He is an IEEE Fellow.

Speech Title: Smart Brain with Fast Simulation Optimization for the Industrial 4.0 and 中國製造2025

Abstract: Simulation and optimization are two popular tools in engineering design. Ubiquitous sensing, pervasive computing, and unprecedented systems interconnectivity have ushered in a new era of industrialization (the so-called Industrial 4.0/中國製造2025). By capitalizing on an unprecedented integration of sensing, computing, and control, simulation optimization provides the “smart brain” required to drastically improve the efficiency of industrial systems. We explore the potential of simulation optimization and present some of our promising approaches, including multi-fidelity/multi-scale simulation optimization and optimal computing budget allocation.

Prof. Wei-Hsin Liao
The Chinese University of Hong Kong, Hong Kong

Wei-Hsin Liao received his Ph.D. in Mechanical Engineering from The Pennsylvania State University, University Park, USA. Since August 1997, Dr. Liao has been with The Chinese University of Hong Kong (CUHK), where he is currently the Associate Dean (Student Affairs), Faculty of Engineering. His research has led to publications of 200 technical papers in international journals and conference proceedings, 15 patents in US, China, Hong Kong, Taiwan, Japan, and Korea. He was the Conference Chair for the 20th International Conference on Adaptive Structures and Technologies in 2009; the Active and Passive Smart Structures and Integrated Systems, SPIE Smart Structures/NDE in 2014 and 2015. He received the T A Stewart-Dyer/F H Trevithick Prize 2005, awarded by the Institution of Mechanical Engineers (IMechE). In 2008, he received the Best Paper Award in Structures from the American Society of Mechanical Engineers (ASME). He also received the Best Paper Award in Automation in the 2009 IEEE International Conference on Information and Automation, and the Best Conference Paper Award in the 2011 IEEE International Conference on Mechatronics and Automation. As the Chair of Joint Chapter of Robotics, Automation and Control Systems Society (RACS), IEEE Hong Kong Section, Dr. Liao received 2012 Chapter of the Year Award from the IEEE Robotics and Automation Society. He currently serves as an Associate Editor for Mechatronics, Journal of Intelligent Material Systems and Structures, as well as Smart Materials and Structures. Dr. Liao is a Fellow of ASME, HKIE, and IOP.

Speech Title: Design and Control of a New Powered Ankle-Foot Prosthesis

Speech Abstract:
Ankle-foot prostheses are used to help regain walking function in individuals having amputations below the knee. Transtibial prostheses generally can be classified into two main types: passive and powered prostheses. As passive transtibial prostheses do not contain actuators, these cannot provide net positive work during a gait cycle, as does an intact human ankle. This lack of positive work hinders amputees from restoring a more natural gait behavior. Amputees with passive prostheses have various problems during walking, such as non-symmetric gait patterns and higher metabolic cost as compared to the gait of intact individuals. For powered prostheses, actuators are employed to deliver net positive energy to propel the body forward during walking. We have developed an innovative powered ankle-foot prosthesis with a compact parallel spring mechanism. The parallel spring mechanism consisting a cam and two linear springs are used to reduce the power and torque requirement of actuators, while improving the system energy efficiency. Herein, the cam profile is designed to generate desired spring torque rather than the stroke versus angle curve. Therefore, the spring can reproduce human ankle controlled dorsiflexion stiffness. For evaluating the developed prosthesis, clinical trials on a below knee amputee are conducted. The results show that the performances of prosthesis are similar to the normal gait.

Prof. Zou Jianxiao
University of Electronic Science and Technology of China, China

Prof. Dr. Jianxiao Zou is vice president of Department of Automation Engineering, University of Electronic Science and Technology of China. He is visiting Professor of University of California, Berkeley (UC Berkeley). His main research directions are intelligent information processing and control, new energy control and integration, monitoring and control system signal processing technology.
As a leader and a total commitment to the primary research included 863 projects, the National Natural Science Foundation of China, the General Armament Department pre-research, all kinds of national and provincial Department more than 20 projects, including a horizontal cooperation. Research in wind power, electric cars, scenery storage co-generation systems, aircraft gas turbine power and other new energy to change direction, and equipment acquired medical equipment, get a good economic and social benefits. MW class wind power generation control system is completed, the electric multi- leaf collimator system, aircraft gas turbine power generation system has been modified to achieve industrialization.
He won the Sichuan Provincial Science and Technology Progress Award in 2012, the Ministry of Education Science and Technology Progress Award in 2008 , and the Sichuan Provincial Science and Technology Progress Award in 2006. In recent years, he applies for more than twenty national invention patents. He has published SCI, EI retrieved 20 papers, as the first author published and been reviewers of numbers of international conferences and magazines.


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