Feiyue WANG: The World Changes Because of You
Future Lecture Series     2016.09.10
Speeches
Lecturer Profiles


Fei-Yue Wang


State Specially Appointed Expert and the Director of the State Key Lab for Management and Control of Complex Systems.


Dr. Wang received his Ph.D. degree in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, New York in 1990. He joined the Department of Systems and Industrial Engineering at 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 founded 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 became the State Specially Appointed Expert and the Director of the State Key Lab for Management and Control of Complex Systems. Dr Wang’s current research is focused in methods and applications for parallel systems, social computing, and knowledge automation. Dr. Wang is the current Editor-in-Chief (EiC) of IEEE/CAA Journal of Automatica Sinica (both the English and the Chinese Versions), and Journal of Command and Control. 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. In 2014, Dr. Wang received the IEEE SMC Society Norbert Wiener Award.



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