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Conference Speakers
ICCAR 2025 Keynote Speakers
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Prof. Yang ShiUniversity of Victoria, CanadaFellow of IEEE, ASME, CSME, EIC, CAESpeech Title: Adaptive and Learning Model Predictive Control for Autonomous Systems |
Yang SHI received his B.Sc. and Ph.D. degrees in mechanical engineering and automatic control from Northwestern Polytechnical University, Xi’an, China, in 1994 and 1998, respectively, and the Ph.D. degree in electrical and computer engineering from the University of Alberta, Edmonton, AB, Canada, in 2005. Currently, he is a Professor in the Department of Mechanical Engineering, University of Victoria, Victoria, BC, Canada. His current research interests include networked and distributed systems, model predictive control (MPC), cyber-physical systems (CPS), robotics and mechatronics, navigation and control of autonomous systems (AUV and UAV), and energy system applications.
Dr. Shi received the University of Saskatchewan Student Union Teaching Excellence Award in 2007, the Faculty of Engineering Teaching Excellence Award in 2012 at the University of Victoria (UVic), the 2023 REACH Award for Excellence in Graduate Student Supervision and Mentorship. He is the recipient of the JSPS Invitation Fellowship (short-term) in 2013, the UVic Craigdarroch Silver Medal for Excellence in Research in 2015, the 2017 IEEE Transactions on Fuzzy Systems Outstanding Paper Award, the Humboldt Research Fellowship for Experienced Researchers in 2018; CSME Mechatronics Medal (2023); IEEE Dr.-Ing. Eugene Mittelmann Achievement Award (2023); IEEE Canada Outstanding Engineer Award (2024). He is an IFAC Council Member; Vice President of IEEE IES, and the Chair of IEEE IES Technical Committee on Industrial Cyber-Physical Systems (2018-2022). He was Co-Editor-in-Chief of IEEE Transactions on Industrial Electronics (2017-2023); he also serves as Associate Editor for Automatica, IEEE Transactions on Automatic Control, Annual Review in Controls, etc. He is a Distinguished Lecturer of IES.
He is a Fellow of IEEE, ASME, CSME, Engineering Institute of Canada (EIC), Canadian Academy of Engineering (CAE), and a registered Professional Engineer in British Columbia, Canada.
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Prof. Hui ZhangBeihang University, ChinaFellow of IEEE |
Zhang Hui is a professor and doctoral supervisor in the School of Transportation Science and Engineering, and also a national high-level young talent. He has long been engaged in special vehicle design, vehicle dynamics control and intelligent driving related research work, and presided over a number of projects such as international cooperation projects of the National Key R&D Program and joint key projects of the National Natural Science Foundation Committee. New products such as high-performance multi-axis distributed drive unmanned chassis, amphibious unmanned platform, air-ground collaborative control platform, and intelligent driving assistance system have been developed and applied in many industries. He has published more than 150 SCI journal papers (including more than 80 IEEE journal papers, and won the IEEE Journal Annual Paper Award twice), more than 60 authorized invention patents, and two monographs. He won the first prize of Scientific and Technological Progress Award of the Society of Automotive Engineers of China, the first prize of Scientific and Technological Progress Award of China Communications and Transportation Association, the first prize of Natural Science Award of Jilin Province, the first prize of Invention Award of China Machinery Industry Federation, and the second prize of Beijing Teaching Award. He was honored with IEEE IES Early Career Award, SAE International Teetor Education Award, and Outstanding Youth Award of the Society of Automotive Engineers of China. He serves as Vice Chairman of the IEEE IES Industrial Information Physical Systems Technical Committee, Co-chairman of the Society of Automotive Engineers International (SAE International) Intelligent and Connected Vehicle Technical Committee, and Editorial Board Member or Associate Editor of IEEE TIV, IEEE TIE, MSSP and other famous journals.
More speakers to be announced.
ICCAR 2024 Keynote Speakers
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Prof. Makoto IwasakiNagoya Institute of Technology, JapanIEEE FellowSpeech Title: High Trajectory Tracking Performance of Industrial Robots by Iterative Learning Control |
Makoto Iwasaki received the B.S., M.S., and Dr. Eng. degrees in electrical and computer engineering from Nagoya Institute of Technology, Nagoya, Japan, in 1986, 1988, and 1991, respectively. He is currently a Professor at the Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology. As professional contributions of the IEEE, he has participated in various organizing services, such as, a Co-Editors-in-Chief for IEEE Transactions on Industrial Electronics since 2016, a Vice President for Planning and Development in term of 2018 to 2021, etc. He is IEEE fellow class 2015 for "contributions to fast and precise positioning in motion controller design". He has received many academic, foundation, and government awards, like the Best Paper and Technical Awards of IEE Japan, the Nagamori Award, the Ichimura Prize, and the Commendation for Science and Technology by the Japanese Minister of Education, respectively. He is also a fellow of IEE Japan, and a member of Science Council of Japan. His current research interests are the applications of control theories to linear/nonlinear modelling and precision positioning, through various collaborative research activities with industries.
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Prof. Ramin SedaghatiConcordia University, CanadaCSME Fellow, ASME Fellow, AIAA Associate FellowSpeech Title: Dynamic Modelling and Control of a Small-Scale Magnetoactive Soft Robot |
Ramin Sedaghati is full professor of Mechanical Engineering in Department of Mechanical, Industrial and Aerospace Engineering at Concordia University and also Concordia Research Chair (CURC-Tier 1) in smart materials and adaptive structure. He received his PhD in mechanical engineering from University of Victoria, BC, Canada in 2000. Following his PhD study, Prof. Sedaghati was awarded Natural Science and Engineering Research Council of Canada (NSERC) post-doctoral fellowship and worked in Canadian Space Agency, John. H. Chapman Space Center. Prof. Sedaghati ‘s main research activities include smart materials particularly magnetoactive materials, adaptive structures, adaptive vibration absorbers and isolators, magnetoactive soft robots, active vibration control and structural optimization. He has supervised over 82 graduate students and research scholars and 110 undergraduate students for their Capstone projects. He published over 300 journal articles and conference proceedings. He is the Fellow of CSME, Fellow of ASME and Associate Fellow of AIAA and serves as an associate editor of Journal of Intelligent Material Systems and Structures. He served as the general chair of 30th International Conference on Adaptive Structures and Technologies (ICAST2019), one of the oldest and well-known conference in the area of smart materials and adaptive structures.
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Prof. Lu LiuCity University of Hong KongStanford's top 2% most highly cited scientists since 2020Speech Title: Event-Triggered Cooperative Control of Multi-Agent Systems |
Lu Liu received her Ph.D. degree in 2008 in the Department of Mechanical and Automation Engineering, the Chinese University of Hong Kong. From 2009 to 2012, she was an Assistant Professor at The University of Tokyo, Japan, and then a Lecturer at The University of Nottingham, United Kingdom. Then she joined the City University of Hong Kong and is currently an Associate Professor. Her research interests are primarily in networked dynamical systems, and nonlinear control systems. She received several best paper awards in flagship conferences, including the Guan Zhaozhi Award of the 27th Chinese Control Conference in 2008, and the Shimemura Young Author Award of the 11th Asian Control Conference in 2017. She received the Excellent Young Scientists Fund (Hong Kong and Macao) from the National Nature Science Foundation of China (NSFC) in 2022. Dr. Liu is an Associate Editor of IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems, IEEE Robotics and Automation Letters, Control Theory and Technology, and Unmanned Systems. She served in the organizing committee of several international conferences including General Chair of the 2022 IEEE International Conference on Real-Time Computing and Robotics, General Chair of the 2022 IEEE International Conference on Control and Automation.
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Prof. Shihua LiSoutheast University, ChinaIET Fellow, IEEE Fellow, AAIA FellowSpeech Title: Disturbance Rejection Model Predictive Control in Mechatronic Systems |
Shihua Li received his bachelor, master, Ph.D. degrees all in Automatic Control from Southeast University, Nanjing, China in 1995, 1998 and 2001, respectively. Since 2001, he has been with School of Automation, Southeast University, where he is a Chief Professor, Jiangsu Specially Appointed Professor. He is the chairman of IEEE IES Nanjing Chapter, Fellow of IEEE, IET and AAIA. He is also the Director General of Jiangsu Association of Automation. His main research interests include modeling and nonlinear control theory with applications to mechatronic systems. He has published 3 monographs, over 300 international journal and conference papers with 30000+ citations (Google Scholar). He is one of Clarivate Analytics Highly Cited Researchers all over the world in 2017-2023. He is a winner of the 6th Nagamori Award in 2020.
ICCAR 2023 Speakers
Prof. Yuanqing Xia
Beijing Institute of Technology, China
夏元清 教授，北京理工大学、长江/杰青/万人计划领军人才、自动化学院院长
Speech title: Workflow Scheduling in Cloud Control Systems 面向云控制系统的工作流调度
Yuanqing Xia is a chair professor and doctoral supervisor at Beijing Institute of Technology. He is now the dean of School of Automation, Beijing Institute of Technology. In 2012, he obtained the National Science Foundation for Distinguished Young Scholars of China, and in 2016, he was honored as the Yangtze River Scholar Distinguished Professor and was supported by National High Level Talents Special Support Plan (“Million People Plan”) by the Organization Department of the CPC Central Committee. In 2017, he was approved to enjoy the special government allowances of the State Council. His current research interests are in the fields of networked control systems, robust control and signal processing, active disturbance rejection control, flight control and cloud control. He has published eight monographs in Springer and John Wiley, and more than 200 papers in journals. He is an Editor in deputy of the Journal of the Beijing Institute of Technology, Associate Editor of Acta Automatica Sinica, Control Theory and Applications, International Journal of Innovative Computing, Information and Control, International Journal of Automation and Computing. He is currently the director of specialized committee on cloud control and decision of Chinese Institute of Command and Control (CICC), the vice chairman of China Internet of Things Working Committee, the director of the ninth Council of the Systems Engineering Society of China, and the director of the first Council of CICC.
Prof. Yan Shi
Beihang University, China
石岩 教授，北京航空航天大学
Speech title: Pressure control study on mechanical ventilation based on adaptive Fuzzy-PID compensation 基于自适应模糊补偿的机械通气压力控制研究
Yan Shi is a professor in the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. He received his doctoral degree in mechanical engineering from Beihang University. His research interests include mechanical and electronic engineering, automatic control, fluid transmission and control intelligent medical devices, energy-saving technologies of pneumatic systems and pneumatic components design and processing key technologies. He has undertaken more than 20 national projects in recent years, and he was awarded an IET fellow in 2022. He has published more than 100 SCI papers, and has granted more than 20 national invention patents. He has won the second prize of the “National Science and Technology Progress Award” (rank 2), and two first prize for the Science and Technology Progress Award of national-level societies (rank 1). He has been selected as the Chief Scientist of the Key Basic Research Program (173 Program) of the JCJQ Program, the Project Leader of the National Key Research and Development Program, the Young Talent of the "Ten Thousand People Program".
Prof. Degang Xu
Central South University, China
徐德刚，中南大学教授、博士生导师，自动化学院副院长
Speech title: Intelligent Perception and Precise Control Method of Slag Removal Robot for Non-Ferrous Metal Casting Process
Degang Xu received the Ph.D. degree in control science and engineering from Zhejiang University, China, in 2007. From 2010 to 2013, he was a Postdoctoral Fellow with Central South University. He was with the Department of Electrical Engineering, University of Florida, United Sates of America, from 2013 to 2014. He is currently a Full Professor with Central South University. His current research interests include modelling and optimal control of complex industrial process, robots control system, and intelligent control system. Prof. Xu has published more than 90 papers on the IEEE Transactions on Industrial Electronics, IEEE Transactions on Cybernetics, and top international conferences. He has authored 2 research monographs. He is also the inventor of more than 30 patents. He was honored “Hunan Furong Young. Scholar” in 2022. He has established a very solid link with many Chinese industries including the field of the online detection technology intelligent control methods for Non-Ferrous metal production, intelligent systems for special construction machinery and equipment. He won the Second Prize of Science and Technology Progress Award from the Nonferrous Metals Society of China in 2022, First Prize of Science and Technology Progress Award from The Quality Evaluation Society of China in 2017, respectively.
Prof. Cailian Chen
Shanghai Jiao Tong University, China
陈彩莲 教授，上海交通大学自动化系
Speech title: Heterogeneous Data Deterministic Transmission for Factory Automation
Cailian Chen is currently a Distinguished Professor of Shanghai Jiao Tong University, Shanghai, P. R. China. Her research interests include industrial wireless networks and computational intelligence, and Internet of Things. She has authored 4 research monographs and over 100 referred international journal papers. She is the inventor of more than 30 patents. Dr. Chen received the prestigious "IEEE Transactions on Fuzzy Systems Outstanding Paper Award" in 2008, IEEE Technical Committee of Cyber-Physical Systems (TCCPS) Industrial Excellence Award in 2022, and 5 conference best paper awards. She won the Second Prize of National Natural Science Award from the State Council of China in 2018, First Prize of Natural Science Award from The Ministry of Education of China in 2006 and 2016, respectively, and First Prize of Technological Invention of Shanghai Municipal, China in 2017. She was honored “National Outstanding Young Researcher” by NSF of China in 2020 and “Changjiang Young Scholar” in 2015. Prof. Chen has been actively involved in various professional services. She serves as Area Editor of National Science Open, and Associate Editor of IEEE Transactions on Vehicular Technology, and IET Cyber-Physical Systems: Theory and Applications. She also served as TPC Chair of ISAS’19, Symposium TPC Co-chair of IEEE Globecom 2016, Track Co-chair of VTC2016-fall and VTC2020-fall.
Prof. Yan-Wu Wang
Huazhong University of Science & Technology, China
Senior Member, IEEE
王燕舞，华中科技大学二级教授、博士生导师，华中科技大学华中卓越学者，教育部新世纪优秀人才
Speech title: Cooperative control in DC microgrid: Voltage regulation and current sharing
Yan-Wu Wang received the B.S. degree in automatic control, the M.S. degree and the Ph.D. degree in control theory and control engineering from Huazhong University of Science and Technology (HUST), Wuhan, China, in 1997, 2000, and 2003, respectively. She has been a Professor with the School of Artificial Intelligence and Automation, HUST, since 2009. Her research interests include hybrid systems, cooperative control, and multi-agent systems with applications in smart grid. Currently she serves in the editor boards of several journals, including IEEE Transactions on Smart Grid, International Journal of Robust and Nonlinear Control, Journal of the Franklin Institute, and Neurocomputing. Dr. Wang was a recipient of several awards, including the first prize of Natural Science Award of Hubei Province in 2014, the first prize of Natural Science Award of the Ministry of Education of China in 2005, and the Excellent PhD Dissertation of Hubei Province in 2004, China. In 2008, she was awarded the title of "New Century Excellent Talents" by the Ministry of Education of China.
Prof. Jing Liang
Zhengzhou University, China
梁静，郑州大学， 电气工程学院院长、教授、博士生导师
Speech title: Evolutionary constrained multiobjective optimization 约束多目标进化优化
Jing Liang is a Professor at Henan Institute of Technology, China. She is the deputy Party secretary and vice-principal. She received the B.E. degree from Harbin Institute of Technology, China and the Ph.D. degree from the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. Her main research interests are evolutionary computation, swarm intelligence, multiobjective optimization, and neural network. Prof. Liang is a member of the IEEE Computational Intelligence Society (CIS) and a member of the IEEE Computational Intelligence Society Emergent Technology Technical Committee (IEEE CIS ETTC). She has obtained the NSFC Outstanding Youth Science Fund Project. She won the IEEE CIS Outstanding Ph.D. Dissertation Award, the Second prize of Natural Science Award of Ministry of Education, 2021 and 2022 Highly Cited Chinese Researcher (Scopus ELSEVIER), Outstanding Young Science and Technology Experts in Henan Province, High-Level Talents in Henan Province, Chief Science Popularization Expert of Henan Province, and IEEE Transactions on Evolutionary Computation (TEVC) Outstanding Associate Editor. She served as the Associate Editor of IEEE Transactions on Evolutionary Computation (2018-Present), IEEE Transactions on Systems Man and Cybernetics: Systems (2021-Present), Swarm and Evolutionary Computation (2016-Present), IEEE Computational Intelligence Magazine (2012-2017) and Deputy Director of Journal of Zhengzhou University (Engineering Science) (2015-2019).
Prof. Hao Zhang
Tongji University, China
张皓，同济大学教授、博士生导师，电子与信息工程学院副院长
Speech title: Multi-agent formation navigation in a feasible space-constrained environment 可行空间受限环境中的多智能体编队导航
Professor Zhang graduated from Huazhong University of Science and Technology with PhD in Control Theory and Control Engineering in 2007. In September 2007, she taught at the Department of Control Science and Engineering in the College of Electronic and Information Engineering, Tongji University. In 2010, she was awarded associate professor and supervisor for master students. From December 2011 to December 2013, she worked as a "Xiang Jiang Scholar" to do the postdoctoral research in the Department of Mechanical and Biological Engineering in the City University of Hong Kong, whose collaborator is the IEEE Fellow Professor Gary Feng. Her research interests include the Autonomous systems, multi-agent systems, data based optimization and control, safety and security, multi-robot systems and so on. She has published over 100 papers, and over 90 papers are published on Automatica and IEEE transaction magazine, 13 authorized invention patents. She won eight provincial and ministerial awards, including one First Prize of Shanghai Natural Award, two First Prize of Shanghai Science and Technology Progress, and one Second Prize of Ministry of Education Natural Award.