Winter School Lecturers Biographies
Dr. Fei-Yue Wang Chinese Academy of Sciences, Beijing, China |
Dr. Karen Panetta Tufts University, Massachusetts, USA |
Dr. Qi Kang Tongji University, Shanghai, China |
Fei-Yue Wang (Fellow, IEEE) received the Ph.D. degree in computer and systems engineering from the Rensselaer Polytechnic Institute, Troy, NY, USA, in 1990. He joined the University of Arizona, Tucson, AZ, USA, in 1990, and became a Professor and the Director of the Robotics and Automation Laboratory and the Program in Advanced Research for Complex Systems. In 1999, he founded the Intelligent Control and Systems Engineering Center, 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. In 2002, he joined the Laboratory of Complex Systems and Intelligence Science, CAS, as the Director, where he was the Vice President for research, education, and academic exchanges with the Institute of Automation from 2006 to 2010. In 2011, he was named as the State Specially Appointed Expert and the Director of the State Key Laboratory for Management and Control of Complex Systems, Beijing. His current research interests include methods and applications for parallel systems, social computing, parallel intelligence, and knowledge automation.
Dr. Wang was elected as a fellow of INCOSE, IFAC, ASME, and AAAS. In 2007, he was a recipient of 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 was a recipient of the IEEE ITS Outstanding Application and Research Awards in 2009,2011, and 2015, and the IEEE SMC Norbert Wiener Award in 2014. He has been the General or Program Chair of more than 30 IEEE, INFORMS, ACM, and ASME conferences. He was the President of the IEEE Intelligent Transportation Systems Society from 2005 to 2007, the Chinese Association for Science and Technology, New York, NY, USA, in 2005, and the American Zhu Kezhen Education Foundation from 2007 to 2008. He was the Vice President of the ACM China Council from 2010 to 2011, and the Chair of IFAC TC on Economic and Social Systems from 2008 to 2011. He is currently the President-Elect of the IEEE Council on radio frequency identification (RFID). Since 2008, he has been the Vice President and the Secretary General of the Chinese Association of Automation. He was the Founding Editor-in-Chief of the International Journal of Intelligent Control and Systems from 1995 to 2000 and the IEEE ITS Magazine from 2006 to 2007. He was the Editor in Chief of the IEEE Intelligent Systems from 2009 to 2012 and the IEEE TRANSACTIONS ON ITS from 2009 to 2016. He is currently the Editor in Chief of the IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, and the Founding Editor in Chief of the IEEE/CAA JOURNAL OF AUTOMATICA SINICA and the Chinese Journal of Command and Control
Qi Kang (S'04-M'09-SM’15) received the B.S. degree in Automatic Control, the M.S. degree in Control Theory and Control Engineering, and the Ph.D degree in Control Theory and Control Engineering, from Tongji University, Shanghai, China, in 2002, 2005, and 2009, respectively. From Sep. 2007 to Oct. 2008, he was a Joint Ph.D. candidate with the Department of Electrical and Computer Engineering, University of Illinois at Chicago, IL, USA. From Aug. 2014 to Aug. 2015, he was a visiting scholar with the Department of Electronics and Computer Engineering, New Jersey Institute of Technology, NJ, USA. He is currently a Professor with the Department of Control Science and Engineering, and a Professor with the Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China. His research interests are in swarm intelligence, evolutionary computation, big data and machine learning, intelligent control and optimization in transportation and energy systems. He has led or participated in over 10 research projects, funded by the National Natural Science Foundation of China, the Ministry of Science and Technology of China, the Ministry of Education of China, and industry. He has over 100 publications including 3 books, over 60 journal papers (15 in IEEE transactions). He holds 12 patents and over10 pending ones. He is a leader of the βAI Lab in Tongji University.
He is an IEEE senior member. He is serving as an Associate Editor of the IEEE TITS, IEEE CASE, IEEE SMC, a vice secretary-general of the Shanghai Association of Artificial Intelligence, an executive Member of the Shanghai Association of Microcomputer Application, an executive Member of the IEEE PES Smart Grid and New Technologies Committee (China) Intelligent IoT and Control Technology Sub-committee, a committee member of the Technical Committee on Intelligent Optimization, Chinese Association for Artificial Intelligence (CAAI), and a committee member of several Technical Committees on Process Control, Adaptive Dynamic Programming and Reinforcement Learning, Chinese Association of Automation (CAA). He is serving as a reviewer of IEEE Trans. on Neural Networks and Learning Systems, IEEE Trans. on Cybernetics, IEEE Trans. on Intelligent Transportation Systems, IEEE Trans. on Systems, Man, and Cybernetics: Systems, IEEE Trans. on Evolutionary Computation, IEEE/CAA Journal of Automatica Sinica, IEEE Trans. on Industrial Informatics, IEEE Trans. on Automation Science and Engineering, IEEE Sensors Journal, IEEE Internet of Things Journal, Information Science. He also served as a Publication Chair of the IEEE ICNSC2021, Special Section Chair of the IEEE ICNSC2019, and Tutorial/Workshop Chair of the IEEE ICNSC2018.
Dr. Karen Panetta is the Dean of Graduate Education for the School of Engineering, a Professor of Electrical and Computer Engineering, and the Director of the Simulation Research Laboratory at Tufts University. She is also the IEEE-USA President, HKN (Eta-Kappa-Nu), and the IEEE WIE Magazine Editor-in-Chief. She received the B.S. in Computer Engineering from Boston University and the M.S. and Ph.D. in Electrical Engineering from Northeastern University.
As an active IEEE Fellow, Dr. Panetta has several awards for outstanding teaching and mentoring as well as for creative curriculum development and outreach activities. In 2011, President Obama awarded her the nation’s highest award for Engineering, Science and Mathematics Education and Mentoring. Her numerous awards include, but are not limited to, the 2010 Norm Augustine Award from the National Academies of Engineering and Science, American Association of Engineering Societies, the 2011 Women of Vision Award from the Anita Borg Institute, the 2013 IEEE Ethical Practices Award, the 2013 New England Engineers Week Leadership Award, and the 2011 Harriet B. Rigas Award for outstanding female Educator. Dr. Panetta is also the recipient of several NASA and National Science Foundation research grants, including the NSF CAREER Award.
Dr. Adrian Stoica NASA Jet Propulsion Laboratory, California, USA |
Dr. Haitao Yuan Beihang University, Beijing, China |
Dr. Shichao Chen Chinese Academy of Sciences, Beijing, China |
Adrian Stoica, PhD is a Senior Research Scientist and Principal at NASA Jet Propulsion Laboratory (JPL). During his over 25 years at JPL he was Principal Investigator for many government projects funded by NASA and other agencies. He supervised the JPL Robotic Systems Decision, Estimation, and Controls group for 10 years, and is now Program Manager for the JPL Blue Sky Studies Program. He joined IEEE 30 years ago, and during the last decade he has been most active in IEEE Systems, Man, and Cybernetics Society, where he served twice as Vice-President. He is also active in IEEE Future Directions, IEEE Systems Council, and other IEEE Units. He is a NASA Innovative Advanced Concepts (NIAC) Fellow. Adrian founded 3 conferences on adaptive systems for space, quality of life, and secure technologies. His expertise and passion covers several areas including intelligent machines, telepresence, robotics, human-machine systems and space exploration.
Haitao Yuan received the Ph.D. degree in Computer Engineering from New Jersey Institute of Technology (NJIT), Newark, NJ, USA in 2020. Before that, he received his Ph.D. degree in Modeling Simulation Theory and Technology from Beihang University, Beijing, China in 2016 and the M.S. and B.S. degrees in Software Engineering from Northeastern University, Shenyang, China, in 2010 and 2012, respectively. He is currently an Associate Professor with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. He was an Associate Professor with the School of Software Engineering, Beijing Jiaotong University, Beijing, China. He has over 80 publications in international journals and conference proceedings, including IEEE TETC, IEEE SMCA, IEEE IoT, IEEE TCC, IEEE TASE, IEEE TSC, IEEE TII and IEEE TCYB. His research interests include cloud computing, edge computing, data centers, big data, machine learning, deep learning and optimization algorithms. Dr. Yuan was the recipient of the 2021 Hashimoto Prize from NJIT, the Best Poster Prize in the 3rd IFAC Workshop on Cyber-Physical & Human Systems (CPHS 2020), the recipient of the Best Paper Award-Finalist in the 16th IEEE International Conference on Networking, Sensing and Control (ICNSC), and the recipient of the Best Paper Award in the 17th ICNSC.
Shichao Chen received the Ph.D. degree in Computer Technology and Application from Macau University of Science and Technology (MUST), Macau, China in 2020. He is currently a Research Associate with Institute of Automation, Chinese Academy of Sciences, Beijing, China. He has over 20 publications in international journals and conference proceedings. His research interests include edge computing, Robot, IIoT and machine learning. Dr. Chen was the recipient of the 2019 Outstanding Automation Engineer Prize from CAA. He has been the founder of several companies and has rich experience in research and development of Industrial Internet.
Dr. Bin Liu IKAS Industries, Shenzhen, China |
Dr. Bingyao Huang Southwest University, Chongqing, China |
Dr. Concetta Semeraro University of Sharjah, United Arab Emirates |
Bin Liu is the chief technology officer (CTO) of IKAS Industries, a leading industrial AI solution provider. He establishes the technical visions, strategies, and roadmap of IKAS, and leads the research programs which explore how emerging technologies could drive advancement of manufacturing industries. He is responsible for development and industrialization of smart manufacturing systems by integrating cutting edge technologies such as AI, big data, IoT, and system modeling. His team has successfully developed several high impact intelligent manufacturing systems which significantly improve productivities of multi-billion factories.
Before joining IKAS, Bin Liu was with GlobalFoundries, Samsung, and National University of Singapore, leading the R&D and mass production efforts of several semiconductor technologies including MRAM, IoT, 7/14nm CMOS, etc.
Bin Liu has published more than 50 peer reviewed technical papers and have 19 patents. He received the B.Eng. (honors) and Ph.D. degrees in electrical engineering from National University of Singapore.
Bingyao Huang is currently a Processor of College of Computer and Information Science of Southwest University, China. He received B.S. from Tongji University, China, in 2013, and M.S. from Rowan University, USA, in 2015, and Ph.D. from Stony Brook University, USA, in 2021. His research interests include computer vision, augmented/virtual reality, computational photography, and medical image analysis. His work has been published in several top journals and conferences including IEEE TPAMI, IEEE TVCG, CVPR, ICCV and AAAI. He received the Best Journal Paper Award at IEEE VR (2021).
Concetta Semeraro is assistant professor at University of Sharjah, United Arab Emirates. She was post-doc at the University of Lorraine, France. She received her double PhD in Management and Mechanical Engineering at Polytechnic University of Bari (Italy) and in Computer Science at University of Lorraine, (France) in 2020 receiving summa cum laude. For her PhD she gained expertise on industry 4.0, modelling and simulation, data analysis, cyber-physical systems, and digital twin to improve the efficiency and the smartness of manufacturing processes. She leaded projects of implementing lean manufacturing in a SME company, performing projects in Industry 4.0 technologies, and implementing a manufacturing execution system (MES) application.
The research interests are: smart manufacturing, manufacturing process optimisation, modelling and simulation, digital twin and Cyber-physical System (CPS).
Dr. David Kaber University of Florida, Florida, USA |
Dr. Xiuliang Li Zhejiang Guozi Robotics Co.,Ltd, Hangzhou, China |
David Kaber is currently the Dean’s Leadership Professor and Chair of the Department of Industrial and Systems Engineering at the University of Florida (UF). Prior to joining UF, Kaber was a distinguished professor of industrial engineering at North Carolina State University where he also served as the Director of Research for the Ergonomics Center of North Carolina. Kaber’s primary area of research interest is human-systems engineering with a focus on human-automaton interaction, including design and analysis for situation awareness in complex human in-the-loop systems. Domains of study for his research have included physical work systems, industrial safety systems, robotic systems, transportation systems and healthcare. Kaber is a senior member of IEEE and junior-past Editor-in-Chief of the IEEE Transactions on Human-Machine Systems. He is a fellow of Institute of Industrial Engineers and the Human Factors & Ergonomics Society. Kaber is also a Certified Human Factors Professional (BCPE) and a Certified Safety Professional (BCSP).
Xiuliang Li is the manager of the R & D department of Zhejiang Guozi Robotics Co.,Ltd. He supervises a group of technical members in developing and designing 2D/3D vision algorithms and core products of mobile robots that have been widely used in patrol inspection, security, logistics and other scenes.
Xiuliang Li received the Ph.D. degree in control science and engineering from Zhejiang University. He has led and participated several NSFC projects, published over 15 peer-reviewed papers, and has 3 patents.
Sponsors & Organizers
IEEE SMCS Technical Committee on Intelligent Systems to Human-aware Sustainability
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