Department of Precision Engineering, The University of Tokyo, Japan
Hajime Asama received his B.S., M.S., and Dr. Eng in Engineering from the University of Tokyo, in 1982, 1984 and 1989, respectively. He worked at RIKEN (Institute of Physical and Chemical Research) in Japan from 1986 to 2002 as a research scientist, etc. He became a professor of RACE (Research into Artifacts, Center for Engineering) of the University of Tokyo in 2002, and a professor of School of Engineering of the University of Tokyo since 2009.
He received JSME (The Japan Society of Mechanical Engineers) Robotics and Mechatronics Academic Achievement Award in 2001, JSME Funai Award in 2009, JSME Robotics and Mechatronics Award in 2009, SICE (The Society of Instrument and Control Engineers) System Integration Division System Integration Award for Academic Achievement in 2010, RSJ (Robotics Society of Japan) Distinguished Service Award in 2013, JSME Award (Technical Achievement) in 2018, etc.
He was the vice-president of RSJ in 2011-2012, an AdCom (Administrative Committee) member of IEEE (The Institute of Electrical and Electronics Engineers) Robotics and Automation Society in 2007-2009. Currently, he is the president-elect of IFAC since 2017, the president of International Society for Intelligent Autonomous Systems since 2014, and an associate editor of Control Engineering Practice, Journal of Robotics and Autonomous Systems, and Journal of Field Robotics, etc. He played the director of the Mobiligence (Emergence of adaptive motor function through the body, brain and environment) program in the MEXT (Ministry of Education, Culture, Sports, Science and Technology) Grant-in-Aid for Scientific Research on Priority Areas from 2005 to 2009. He is a member of Science Council of Japan from 2014 to 2017, and a council member since 2017. He is a Fellow of IEEE, JSMEstrong and RSJ.
He was a member of Decommissioning Strategy Committee of NDF (Nuclear Damage Compensation and Decommissioning Facilitation Corporation) from 2014 to 2016, and is a member of Fuel Debris Retrieval Expert Committee and a member of Decommissioning R&D Partnership Council of NDF since 2014 and 2015 respectively. He is also a member of technical committee of IRID (International Research Institute for Nuclear Decommissioning), a member of technical committee on mockup testing facility of JAEA (Japan Atomic Energy Agency), the project leader on Disaster Response Robots of COCN (The Council on Competitiveness-Japan), etc.
His research interests are service robotics, distributed autonomous robotic systems, ambient intelligence, rescue robotics, Mobiligence, embodied-brain systems, service engineering, human interface, etc. He has been involved in activities to utilize and disseminate robot technology in decommissioning of Fukushima Daiichi Nuclear Power Station, disaster response, inspection of social infrastructures, and for Fukushima Innovation Coast Framework.
Department of Mechanical and Aerospace Engineering, University of California at San Diego, USA
(Fellow of IEEE, Australian engineer, Cymer Corporation Professor)
Robert Bitmead joined the Jacobs School’s Mechanical and Aerospace Engineering Department in 1999 after more than 16 years at the Department of Systems Engineering at The Australian National University in Canberra, Australia. Eight of those 16 years were spent as the Executive Director of the Cooperative Research Centre for Robust & Adaptive Systems, an incorporated joint venture between the university, government labs and industry. Bitmead is a Fellow of the IEEE.
Professor Bitmead’s research interests are in the theoretical and application-based areas of dynamical system modeling and control. In particular he has a long history of collaborative research with U.S. and Australian industries concentrating on theories and techniques for modeling, signal processing and control. Bitmead’s research extends from using experimental data to build computational models, the application of estimation methods to operating systems, through to the design and performance analysis of feedback mechanisms for more effective operation.
Bitmead is developing models to be used in the control of combustion instabilities. This might eventually be applied to a jet engine or to a gas turbine power plant. The aim is to use feedback control to operate these machines at lower fuel to air ratios, which would make them more efficient and pollute less. His dynamic estimation skills are also finding application in cellular phone networks to gain improved network performance.
Academy of Mathematics and Systems Science, Chinese Academy of Science
(Fellow of IEEE, IFAC, and TWAS; IEEE Bode Lecture Prize)
Lei GUO received his B.S. degree in mathematics from Shandong University in 1982, and Ph.D. degree in control theory from the Chinese Academy of Sciences in 1987. He was a postdoctoral fellow at the Australian National University (1987-1989). Since 1992, he has been a Professor of the Institute of Systems Science at the Chinese Academy of Sciences (CAS), where he had been Director of the Institute (1999-2002). From 2002 to 2012，he was the President of the Academy of Mathematics and Systems Science, CAS. He is currently the Director of the National Center for Mathematics and Interdisciplinary Sciences, CAS.
Dr. Guo was elected Fellow of the IEEE in 1998, Member of the Chinese Academy of Sciences in 2001, Fellow of the Academy of Sciences for the Developing World (TWAS) in 2002, Foreign Member of the Royal Swedish Academy of Engineering Sciences in 2007, and Fellow of the International Federation of Automatic Control (IFAC) in 2007 “for fundamental contributions to the theory of adaptive control and estimation of stochastic systems, and to the understanding of the maximum capability of feedback”. In 2014, he was awarded an honorary doctorate by Royal Institute of Technology (KTH), Sweden. His coauthored paper on synchronization of flocks was selected and published as a SIGEST Paper by SIAM Review in 2014. He was also the recipient of the 1993 IFAC World Congress Young Author Prize “for solving a long standing problem in control theory concerning convergence and convergence rate for the least-squares–based self-tuning regulators”. He was awarded the 2019 Hendrik W.Bode Lecture Prize by the IEEE Control Systems Society. He has delivered twice plenary lectures at the IFAC World Congress in 1999 and 2014 respectively, and was an Invited speaker at the International Congress of Mathematicians (ICM) in 2002. He has also been selected as a distinguished lecturer of the IEEE Control Systems Society (2012-2014).
He has served as a Council Member of IFAC (2005-2011), Member of IEEE Control Systems Award Committee (2008-2011, 2018-2019), Member of the IFAC Award Committee (2005-2008, 2017-2020), Associate Editor of SIAM J. Control and Optimization (1991-1993), General Co-Chair of the 48th IEEE Conference on Decision and Control (2009), Deputy Director of the CAS Academic Committee (2013-2018), Congress Director of the 8th International Congress on Industrial and Applied Mathematics (ICIAM 2015), Advisor of the National Basic Research Program of China (2011-), President of the China Society for Industrial and Applied Mathematics (CSIAM), Vice-President of the Chinese Mathematical Society, and Vice-President of the Chinese Association of Automation. Currently, he serves as the Director of the Information Science Division of CAS Academic Committee (2018-), Deputy Director of the Division of Information Technical Sciences, CAS (2016-), and a member of editorial boards of a number of academic journals in mathematics, systems and control.
He has worked on problems in adaptive control, system identification, adaptive signal processing, and stochastic systems. His current research interests include control of nonlinear uncertain systems, PID control theory, distributed filtering and estimation, capability of feedback, multi-agent systems, game-based control systems, and complex systems, among others.
Dept. of Electrical and Computer Engineering, National Univ. of Singapore
(Fellow of IEEE, IFAC, IET)
Shuzhi Sam Ge is professor in the Department of Electrical and Computer Engineering of the National University of Singapore, director of Social Robotics Lab and Smart Systems Institute. He received BSc degree and MSc degree from Beijing University of Aeronautics & Astronautics in 1986, and received his Ph.D. degree and Diploma of Imperial College in Mechanical/Electrical Engineering from the Imperial College in 1993. Since 1993, he has been with the National University of Singapore. He is a Fellow of IEEE, IFAC, IET and Singapore Academy of Engineering.
His research interests include but not limited to social robotics, intelligent systems, and intelligent equipment. He was the recipient of Inaugural Temasek Young Investigator Award (2002), Defence Science and Technology Agency (DSTA) and National Technology Award of the National Science & Technology Board (2002), NSFC National Outstanding Youth Award (2001) and IEEE Control Systems Society Distinguished Member Award (2013). He has (co)-authored 7 books, and over 800 international journal and conference papers, with high H index (82) and citations (27,000). He is Clarivate Analytics high-cited scientist in 2016-2018, Elsevier high-cited scientist in 2014-2018.
He serves as Vice President of Technical Activities (2009-2012), and Vice President of Technical Activities (2009-2010), Member of Board of Governors (2007-2009), Chair of Technical Committee on Intelligent Control (2005-2008) of IEEE Control Systems Society. He was the recipient of Changjiang Guest Professor at MOE in China (2008). He has completed a number of national projects across universities, research institutes, and industries in Singapore. He is the founder and editor-in-chief of “The International Journal of Social Robots” (Springer Press) and deputy editor of “Automatica”. He serves as an Associate Editor for a number of flagship journals including IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, and IEEE Transactions on Neural Networks, Book Editor of Taylor&Frabcis Automation and Control Engineering Series. He served as General Chair and Program Chair for a number of IEEE international conferences.
Department of Chemical & Biomolecular Engineering, KAIST, Korea
(General Chair, IFAC World Congress 2026)
Jay H. Lee obtained his B.S. degree in Chemical Engineering from the University of Washington, Seattle, in 1986, and his Ph.D. degree in Chemical Engineering from California Institute of Technology, Pasadena, in 1991. From 1991 to 1998, he was with the Department of Chemical Engineering at Auburn University, AL, as an Assistant Professor and an Associate Professor. From 1998-2000, he was with School of Chemical Engineering at Purdue University, West Lafayette and then with the School of Chemical Engineering at Georgia Institute of Technology, Atlanta. In 2010, he joined Korea Advanced Institute of Science and Technology (KAIST) as the Head of the Chemical and Biomolecular Engineering Department. He recently served as the Associate Vice President of International Office and is currently serving the role of International Relations Advisor to the President. He is also the founding director of Saudi Aramco-KAIST CO2 Management Center. He has held visiting appointments at E. I. Du Pont de Numours, Wilmington, in 1994 and at Seoul National University, Seoul, Korea, in 1997.
He was a recipient of the National Science Foundation’s Young Investigator Award in 1993 and also the AIChE CAST Computing in Chemical Engineering Award in 2013. He was elected as an IEEE Fellow in 2011, an IFAC Fellow in 2011, and an AIChE Fellow in 2013. He is a member of both the Korean National Academy of Science and Technology (KAST) and the National Academy of Engineering Korea (NAEK). He was also the 29th Roger Sargent Lecturer in 2016. He published over 200 manuscripts in SCI journals with more than ~14000 Google Scholars citations (with h-index of 53). His research interests are in the areas of state estimation, robust control, model predictive control, planning/scheduling, and approximate dynamic programming with applications to energy systems and carbon management systems.
Department of Mechanical Engineering, University of Michigan, USA
(Roger L. McCarthy Professor)
Biography: Huei Peng received his Ph.D. in Mechanical Engineering from the University of California, Berkeley in 1992. He is now a Professor at the Department of Mechanical Engineering at the University of Michigan. His research interests include adaptive control and optimal control, with emphasis on their applications to vehicular and transportation systems. His current research focuses include design and control of electrified vehicles, and connected/automated vehicles. In the last 10 years, he was involved in the design of several military and civilian concept vehicles, including FTTS, FMTV, Eaton/Fedex, and Super-HUMMWV—for both electric and hydraulic hybrid concepts. He served as the US Director of the DOE sponsored Clean Energy Research Center—Clean Vehicle Consortium, which supports more than 30 research projects related to the development of clean vehicles in the US and in China.
He currently serves as the Director of Mcity, which studies connected and autonomous vehicle technologies and promotes their deployment. He has served as the PI or co-PI of more than 50 research projects, with a total funding of more than 50 million dollars. He has more than 300 technical publications, including 140 in referred journals and transactions and four books. His h-index is 72 according to the Google scholar analysis. The total number of citations to his work is more than 20,000. He believes in setting high expectation and helping students to exceed it by selecting innovative research topics with real impact. One of his proudest achievements is that more than half of his Ph.D. students have each published at least one paper cited more than 100 times.
Huei Peng has been an active member of the Society of Automotive Engineers (SAE) and the American Society of Mechanical Engineers (ASME). He is both an SAE fellow and an ASME Fellow. He is a ChangJiang Scholar at the Tsinghua University of China.
More speakers too be added.