SPEAKER: Prof. Fei-Yue Wang
TOPIC: AI 2.0 and Future Challenge for Intelligent Vehicles: A Chinese Perspective and Practice
DATE: February 20, 2018
TIME: 3:00pm-4:00pm
LOCATION: DC-1304
INVITED BY: Department of Electrical & Computer Engineering
ABSTRACT: The accelerated development of artificial intelligence brings new substantial opportunities for human life and social improvement. In order to promote the deep integration of artificial intelligence and economic society and further enhance China’s technological innovation capability in the field of intelligent technology, Chinese government has decided to set up a major R&D project in artificial intelligence last year, within the framework of “Science and Technology Innovation 2030”, a national science and technology development plan. The overall goal of this project is to explore the next generation theory and technology of artificial intelligence, and focus on five areas: Big-data-based AI, Internet-based crowd intelligence, Crossmedia intelligence, Hybrid augmented intelligence and Autonomous-intelligent systems. In addition, in 2008 the National Natural Science Foundation of China (NNSFC) launched a major research plan on Cognitive Computing of Visual and Auditory Information (2008-2017), and the total expenditure of this plan was 190 million yuan. In this research program, autonomous vehicles have been used as an integrated verification platform for the study of new cognitive computing models. Since 2009, NNSFC has held annual autonomous vehicle competitions, called Future Challenge for IV. This talk will overview the Chinese perspective and practice on developing AI and related autonomous vehicle research activities in the last decade.
BIOGRAPHY: Fei-Yue Wang (S'87-M'89-SM'94-F'03) received his Ph.D. in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, New York in 1990. 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 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 Overseas 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 Laboratory for Management and Control of Complex Systems.
Dr. Wang's current research focuses on methods and applications for parallel systems, social computing, and knowledge automation. He has supervised over 150 PhD and MSc students and Postdocs. He was the Founding Editor-in-Chief of the International Journal of Intelligent Control and Systems (1995-2000), Founding EiC of IEEE ITS Magazine (2006-2007), EiC of IEEE Intelligent Systems (2009-2012), and EiC of IEEE Transactions on ITS (2009-2016). Currently he is EiC of IEEE Transactions on Computational Social Systems, Founding EiC of IEEE/CAA Journal of Automatica Sinica, and Chinese Journal of Command and Control. Since 1997, he has served as General or Program Chair of more than 20 IEEE, INFORMS, ACM, and ASME conferences. He was the President of IEEE ITS Society (2005-2007), Chinese Association for Science and Technology (CAST, USA) in 2005, the American Zhu Kezhen Education Foundation (2007-2008), and the Vice President of the ACM China Council (2010-2011). Since 2008, he has been the Vice President and Secretary General of Chinese Association of Automation. Dr. Wang has been elected as Fellow of IEEE, INCOSE, IFAC, ASME, and AAAS. In 2007, he received the National Prize in Natural Sciences of China and was awarded the Outstanding Scientist by ACM for his research contributions in intelligent control and social computing. He received IEEE ITS Outstanding Application and Research Awards in 2009, 2011 and 2015, and IEEE SMC Norbert Wiener Award in 2014.