Keynotes

 

Keynote I: Road to Computational and Smart Societies: An ACP-based Parallel Systems Approach

Speaker: Fei-Yue Wang, Institute of Automation, Chinese Academy of Sciences

Bio: Fei-Yue Wang received his Ph.D. in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, New York in 1990. Dr. Wang has been a researcher, educator, and practitioner of intelligent and complex systems for over 30 years.

He joined the University of Arizona in 1990 and became a Professor and Director of the Robotics and Automation Lab (RAL) and Program in Advanced Research for Complex Systems (PARCS). In 1999, he found the Intelligent Control and Systems Engineering Center at the Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China, under the support of the Outstanding Oversea Chinese Talents Program from the State Planning Council and “100 Talent Program” from CAS, and in 2002, was appointed as the Director of the Key Lab of Complex Systems and Intelligence Science, CAS. From 2006 to 2010, he was Vice President for research, education, and academic exchanges at the Institute of Automation, CAS. In 2011, he was supported by the “1000 Talent Program” and became the Director of the State Key Laboratory of Management and Control for Complex Systems. Dr. Wang has published extensively in modeling, analysis, control and management of complex systems. His current research is focused in methods and applications for parallel systems and social computing. He was the Founding Editor-in-Chief of the International Journal of Intelligent Control and Systems from 1995 to 2000, the Series on Intelligent Control and Intelligent Automation from 1996 to 2004, and IEEE Intelligent Transportation Systems, and the EiC of IEEE Intelligent Systems from 2009 to 2012. Currently, he is the EiC of IEEE Transactions on ITS. Since 1997, he has served as General or Program Chair of more than 20 IEEE, INFORMS, ACM, ASME conferences. He was the President of IEEE ITS Society from 2005 to 2007, Chinese Association for Science and Technology (CAST, USA) in 2005, and the American Zhu Kezhen Education Foundation from 2007-2008. Since 2008, he is the Vice President and Secretary General of Chinese Association of Automation. Dr. Wang is member of Sigma Xi and an elected Fellow of IEEE, INCOSE, IFAC, ASME, and AAAS. In 2007, he received the 2nd Class National Prize in Natural Sciences of China and awarded the Outstanding Scientist by ACM for his work in intelligent control and social computing. He received IEEE ITS Outstanding Application and Research Awards in 2009 and 2011, respectively.

Keynote II: Parallel Service Management: Better Understanding, Better Life

Speaker: Lefei Li, Tsinghua University

Abstract: We always say: the customer is god. However, do we really understand this ‘god’? In practice, the nature of service, such as intangibility and heterogeneity, make the effective management of service operations difficult. Besides, the latest advancement of ICT and analytics tools are opening a wide space for smarter services. To better incorporate human behaviors and other complex factors to facilitate service management decisions, we propose a new approach, Parallel Service Management (PSM), which follows the ACP framework, an emerging methodology in complex systems modeling and analysis. In PSM, customer agents, service employee agents, service organization agents and service environment construct an artificial service system, which can run in parallel with the real service system. In this way, the artificial system can learn from the real system dynamically. By doing vast computational experiments, we are able to feedback good decision suggestions to the real system, and therefore providing a better service to the customers.

Bio: Lefei Li (Member 2006) is an associate professor in the department of Industrial Engineering, Tsinghua University. He is serving as the co-director of the Tsinghua Operations and Service Research Lab (TOPS). He received his B.S. degree in Electronic Engineering from Zhejiang University in 2002, M.S. (2004) degree in Industrial Engineering and Ph.D. (2006) degree in Systems and Industrial Engineering from the University of Arizona. Lefei Li joined Tsinghua University in 2006, conducting research in ITS, logistics and other service systems. His current research interests include Artificial Transportation Systems, Service Operations and Management.  Dr. Li has managed or actively participated in several urban transportation and logistics/service network design projects, sponsored by top logistics companies or public agencies in China.  Dr. Li has published several journal papers and peer-reviewed conference papers, which present his research in artificial urban transit system and other service management problems.  Dr. Li is associate editor for the IEEE Transactions on Intelligent Transportation Systems and for IEEE Intelligent Systems. Dr. Li is the chair of IEEE ITSS Technical Committee on Logistics and Services. He is also serving as the past president of INCOSE (International Council on Systems Engineering) Beijing Chapter.

Keynote III: Information-Centric Smart Home Networking: Driving the Future Network Architecture

 

Speaker: Beichuan Zhang, University of Arizona

Abstract: Started as a futuristic concept, the idea of smart home has come a long way in recent years. As the number and types of smart devices keep increasing quickly, home network is transforming from the simplest local area network to one of the most heterogeneous networks supporting intelligent applications that will revolutionize how we live. This smart home environment, however, poses serious challenges to conventional TCP/IP based technologies, and fits much more naturally to the emerging Named Data Networking (NDN) architecture. In this talk, I will elaborate on the challenges, introduce the basic concepts of NDN, and discuss how smart home networking can drive the development of future network architecture and benefit from it as well.

Bio: Dr. Beichuan Zhang is currently an Associate Professor at the Computer Science Department, the University of Arizona, USA. He has been working on information-centric networking, green networking, internet routing, and content distribution. Dr. Zhang was a recipient of the first Applied Networking Research Prize in 2011 awarded by the Internet Society and the Internet Research Task Forces for his research into "green traffic engineering". His work also received the best paper awards at the International Symposium on Quality of Service (2014) and the International Conference on Distributed Computing Systems (2005). Dr. Zhang received his Ph.D. from UCLA (2003) and B.S. from Peking University (1995).

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