Prof. Bin Xu

Northwestern Polytechnical University, China

Biography: Dr Bin Xu is currently Professor with School of Automation, Northwestern Polytechnical University. He received the B.S. degree in measurement and control from Northwestern Polytechnical University, China, 2006 and the Ph.D. degree in Computer Science from Tsinghua University, China, 2012. He visited ETH Zurich from Mar 2010 to Mar 2011 and from Feb 2012 to Jan 2013 he was Research Fellow with Nanyang Technological University. From Jul 2012 to now, he has been with School of Automation, Northwestern Polytechnical University where now he is Professor. His research interests include computation intelligence, intelligent control, and adaptive control with application on flight dynamics. He serves as Editorial Board Member/Associate Editor of several international journals (including Journal of Intelligent & Robotic Systems, International Journal of Control, Automation, and Systems). He has been listed as Clarivate Highly Cited Researchers since 2019.

个人简介:许斌,教授,西北工业大学,自动化学院,国家自然科学基金优秀青年科学获得者,国家万人计划青年拔尖人才。先后获得航空学会科技奖、陕西省科技奖、军队科技进步奖等,担任陕西省通用航空系统工程研究中心主任,获批陕西省教育厅智能控制理论与无人飞行应用创新团队;中国自动化学会无人飞行器自主控制专委会委员、自适应动态规划与强化学习专业委员会委员、人工智能学会认知系统与信息处理专委会委员、中国指挥与控制学会集群智能与协同控制专业委员会委员;先后担任Neurocomputing、International Journal of Advanced Robotic Systems、自动化学报等期刊编委,Science China Information Sciences和Chinese Journal of Aeronautics青年编委。主持自然基金4项,其他国家级、省部级课题多项,在飞行控制、智能决策、先进导航等方面与研究所合作多项课题。


Prof. Chaoxu Mu

Tianjin University, China

Speech Title: Reinforcement Learning for the cooperative problem of unmanned systems

Abstract: The rapid development of reinforcement learning and deep learning methods makes it possible for variable unmanned systems to improve efficiently their performance in challenging environments. This report will introduce the principles of reinforcement learning and deep reinforcement learning methods, analyze the key problems of multiple unmanned systems in cooperative control, and provide some ideas for unmanned systems cooperation with reinforcement learning.

Biography: Dr. Chaoxu Mu is a Professor with the School of Electrical and Information Engineering, Tianjin University, China. She has published over 80 peer-reviewed journal and conference papers, and jointly published 2 books with Springer and Chinese Science Press. All papers have been cited more than 3500 times. Since 2009 to date, she has hosted and participated over 10 research grants from National Science Foundation of China, the Ministry of Science and Technology of China, key laboratories, and so on. She has advised 20+ Ph. D students and master students, and many undergraduate students. She is the associate editors of ACTA AUTOMATICA SINICA and IEEE TNNLS, is also invited to peer-review for multiple journals. Dr. Mu regularly serves on the committees of IEEE, China Automation Society, Chinese Association for Artificial intelligence, and various international conferences.

 


Prof. Hongyi Li

Guangdong University of Technology, China

Biography:Hongyi Li (SM’17) received the Ph.D. degree in intelligent control from the University of Portsmouth, Portsmouth, U.K., in 2012. He was a Research Associate with the Department of Mechanical Engineering, University of Hong Kong, Hong Kong and Hong Kong Polytechnic University, Hong Kong. He was a Visiting Principal Fellow with the Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, Australia. He is currently a professor with the Guangdong University of Technology, Guangdong, China. His research interests include intelligent control, cooperative control, sliding mode control and their applications.
He was a recipient of the 2016 and 2019 Andrew P. Sage Best Transactions Paper Awards from IEEE System, Man, Cybernetics Society, the Best Paper Award in Theory from ICCSS 2017 and the Zadeh Best Student Paper from IEEE ICCSS 2019, respectively. He has been in the editorial board of several international journals, including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Transactions on Cognitive and Developmental Systems, SCIENCE CHINA Information Sciences, IEEE/CAA Journal of Automatica Sinica, Neural Networks, Asian Journal of Control, Circuits, Systems and Signal Processing, and International Journal of Control, Automation and Systems. He has been Guest Editors of IEEE Transactions on Cybernetics and IET Control Theory and Applications. He is a member of the IFAC Technical Committee on Computational Intelligence in Control.

个人简介:广东工业大学百人计划特聘教授,博士生导师,国家万人计划领军人才,国家优秀青年科学基金获得者,全球高被引科学家,中国高被引学者。曾在香港大学、香港理工大学、澳大利亚卧龙岗大学做访问学者。主要从事智能控制、协同控制以及应用方面研究,发表Automatica及IEEE汇刊论文80余篇,其中发表在IEEE Trans. Cybernetics与IEEE Trans. Systems, Man and Cybernetics: Systems期刊上的2篇论文分别获2016与2019 IEEE SMC学会Andrew P. Sage最佳汇刊论文奖。担任IEEE Trans. Neural Network and Learning Systems、IEEE Trans. Fuzzy Systems、IEEE Trans. Systems, Man and Cybernetics: Systems、IEEE Trans. Cognitive and Developmental Systems、Neural Networks、Asian Journal of Control、Circuits, Systems and Signal Processing、International Journal of Control, Automation and Systems、《中国科学:信息科学》(中英文版)、《自动化学报》(中英文版)以及《系统科学与复杂性学报》(英文版)等10余个期刊编委;在IEEE Trans. Cybernetics与IET Control Theory and Applications等国际期刊上组织专刊。主持国家自然科学基金优秀青年科学基金、面上基金、青年基金、教育部新世纪优秀人才支持计划等10余项项目。曾获省部级自然科学一等奖与二等奖、第四届Scopus青年科学之星以及省优秀硕士学位论文指导教师等荣誉。现为IEEE高级会员, IFAC计算智能与控制专业委员会委员,中国自动化学会控制理论专业委员会委员、信息物理系统控制与决策专业委员会委员以及青年工作委员会副主任委员等。


Prof. Tao Liu

Dalian University of Technology, China

Biography: Tao Liu received the PhD degree in control science and engineering from Shanghai Jiaotong University, Shanghai, China, in 2006. He had been a postdoctoral research fellow in the Department of Chemical and Biomolecular Engineering at Hong Kong University of Science and Technology from May 2006 to April 2010, and an Alexander von Humboldt research fellow in the Institute of Process Systems Engineering at RWTH Aachen University in Germany from May 2010 to June 2012. Since then, he has been a professor with the Institute of Advanced Control Technology at Dalian University of Technology in China. His research interests include industrial process identification & modeling, process measurement by infrared spectroscopy & imaging, control system design, batch process optimization, process monitoring. He published more than 150 research papers and two monographs. He serves as an associate editor of ISA Transactions, Systems Science and Control Engineering, an editorial board member of International Journal of Control, a member of the Technical Committee on Chemical Process Control of IFAC, Technical Committee on System Identification and Adaptive Control of the IEEE Control System Society, Technical Committees of Control Theory and Process Control of Chinese Association of Automation.

个人简介: 控制科学与工程学院教授,先进控制技术研究所所长,德国洪堡基金学者。 2006年在上海交通大学获得控制科学与工程博士学位,2006年5月至2010年4月在香港科技大学化工系先后从事研究助理、访问学者、研究助理教授工作,2010年5月至2012年6月在德国做洪堡基金学者,在亚琛工业大学过程系统技术研究所从事化工批量生产过程辨识建模、控制和优化。目前担任仪表自动化工程国际重要SCI期刊ISA Transactions副编辑、控制学科国际重要期刊International Journal of Control编委、化学工程国际重要SCI期刊Industrial & Engineering Chemistry Research编委、控制工程国际期刊Systems Science and Control Engineering副编辑、工业过程控制领域国内重要核心期刊《控制工程》编委、国际自动控制联合会(IFAC)化工过程控制委员会委员、国际电气与电工技术协会(IEEE)系统辨识和自适应控制技术委员会委员、中国自动化学会控制理论专委会委员、中国过程控制工程专业委员会委员。主要从事先进控制系统设计、工业大数据分析、系统辨识与建模、嵌入式控制系统开发、批量生产过程的鲁棒控制与优化、机器视觉、人工智能深度学习、红外光谱和图像检测智能仪器研制。已发表学术论文100余篇,其中作为第一作者在工业过程控制领域国际主要SCI源英文期刊发表论文三十余篇, 2012年在Springer出版一部英文著作,作为第一完成人申请和获得18项国家发明专利。 2019年入选兴辽英才计划科技创新领军人才、2018年荣获中国自动化学会青年科学家奖、2018年荣获教育部自然科学二等奖(第一完成人)、2017年荣获中国自动化学会自然科学二等奖(第一完成人)。指导研究生荣获2018年中国过程控制会议优秀学生论文奖、2016年和2018年两次荣获工业生物过程优化与控制研讨会优秀论文一等奖。 培养研究生连续多年荣获国家励志奖学金、大连市和大连理工大学优秀毕业生,优秀研究生等荣誉称号。


Prof. Yongping Pan

Sun Yat-sen University, China

Biography: Dr. Yongping Pan is a Professor who leads the Robot Control and Learning Group at the Sun Yat-sen University, China. He holds the Ph.D. degree in control theory and control engineering from the South China University of Technology, China, and has long-term research experience in top universities worldwide. His research interests include automatic control and machine learning with applications to robotics, such as compliant actuation, interaction control, visual servoing, motion planning, and dexterous manipulation. Based on his research, Dr. Pan has authored or co-authored more than 130 peer-reviewed academic papers, including over 100 papers in refereed journals, where his publications have attracted over 5300 citations on the Google Scholar. He has been invited as an Associate Editor of several top-tier journals, such as IEEE-TCSE, IEEE-TASE, and IEEE-CAL, and as a speaker to deliver academic talks in top universities and conferences over 30 times worldwide. Dr. Pan has been recognized as a World’s Top 2% Scientist by Stanford University, a Global Highly Cited Researcher by Clarivate, and a Highly Cited Chinese Researcher by Elsevier.

个人简介:潘永平博士为中山大学教授和博士生导师,国家级青年人才计划入选者,机器人控制与学习课题组负责人,Clarivate全球高被引学者。他在华南理工大学获得控制理论与控制工程博士学位,并曾长期在多个世界一流大学从事科研工作。他的研究兴趣包括自动控制与机器学习基础理论及其在机器人柔性驱动、交互控制、视觉伺服、运动规划、灵巧操作等中的应用。已发表同行评议学术论文120余篇,其中SCI检索期刊论文近100篇,Google Scholar和Web of Science被引分别超过5000和3600次。目前受邀担任多个顶级或重要期刊的副编辑,如IEEE-TCST、IEEE-TASE和IEEE-RAL,并曾受邀在超过30所世界知名大学或学术会议发表学术报告。

Prof. Zehui Mao

Nanjing University of Aeronautics and Astronautics

Biography: Zehui Mao received the Ph.D. degree in Control Theory and Control Engineering at Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2009. She had ever been a Post-Doctoral Research Fellow and Visiting Scholar in Tsinghua University, Beijing, China and the University of Virginia, Virginia, USA, respectively. She is currently a Professor in College of Automation Engineering at Nanjing University of Aeronautics and Astronautics.
She has been the principle investigator on several projects of National Natural Science Foundation of China. She is the author of over 70 referred international journal papers and conference papers. She won Second Class Prize of National Natural Science Award of China in 2018 (No.4). Her research interests include fault diagnosis and fault-tolerant control and its application in flight control systems and high-speed rail traction systems.

个人简介:2009年在南京航空航天大学自动化学院获工学博士学位,曾经先后在清华大学和美国弗吉尼亚大学做博士后和访问学者。目前,是南京航空航天大学自动化学院教授。2019年,获国家“优青”,入选江苏高校“青蓝工程”优秀青年骨干教师。担任国际学术期刊International Journal of Control, Automation and Systems编委;江苏省自动化学会理事;中国自动化学会技术过程的故障诊断与安全性专业委员会委员;中国自动化学会自适应动态规划与强化学习专业委员会委员;江苏省自动化学会青年工作委员会委员等。


Prof. Zhigang Liu

Southwest Jiaotong University, China

Biography: Zhigang Liu (IET Fellow, Senior Member IEEE) received a Ph.D. degree in Power systems and its Automation from Southwest Jiaotong University, China in 2003. He is a Full Professor at the School of Electrical Engineering since 2006, Southwest Jiaotong University, Chengdu. He is also a Guest Professor at Tongji University, Shanghai. Dr. Liu is an Associate Editor-in-Chief of IEEE TIM, Associate Editor of IEEE TNNLS, IEEE TVT, and IEEE ACCESS. He received the IEEE TIM's Outstanding Associate Editors for 2019, 2020, and 2021. Dr. Liu is an Editorial board member of journals such as "ACTA AUTOMATICA SINICA", "Journal of Southwest Jiaotong University", etc. He won Second Prize in the National Science and Technology Progress Award, the Sichuan Youth Science and Technology Award, the Special Prize of the China Railway Society, Second Prize of the Science and Technology Progress Award of the Ministry of Education, First Prize of the Sichuan Higher Education Teaching Achievement, National Hundred Excellent Doctoral Dissertation Nominations, China Electric Power Excellent Technologist Award, Fok Yingdong Young, Fund Mao Yisheng Railway Science, and Technology Award, and the Zhan Tianyou Special Fund Award.

个人简介:1997年毕业于西南交通大学铁道电气化专业和计算机应用第二专业,2003年获得电力系统及其自动化专业博士学位。2003年破格晋升为副教授,2006年破格晋升为教授,2008年遴选为博士生导师,2009-2010年美国University of Illinois at Chicago访问学者,2017年11月荷兰Delft University of Technology高级访问学者。IET Fellow;IEEE Transactions on Instrumentation and Measurement的Associate Editor-in-Chief; IEEE Transactions Neural Networks and Learning Systems、IEEE Transactions on Vehicular Technology和 IEEE Access的Associate Editor;IEEE Transactions on Neural Networks and Learning Systems专刊的客座主编;IEEE/CSEE/CES高级会员;中国电工技术学会、中国自动化学会、中国铁道学会等多个专委会副秘书长、常务委员或委员;《自动化学报》、《西南交通大学学报》、《电力系统保护与控制》等期刊编委;四川省青年联合会委员、四川省科技青年联合会常务理事、四川省电机工程学会理事。获得国家科技进步二等奖、四川省科技进步二等奖、四川省青年科技奖、中国铁道学会特等奖、教育部科技进步二等奖、四川省高等教育教学成果一等奖、全国百篇优博提名、IEEE TIM的Outstanding Associate Editor(2019年,2020年,2021年)、中国电力优秀科技工作者奖、茅以升铁道科技奖、詹天佑专项基金奖、 唐立新优秀学者(2次)等。入选国家万人计划科技创新领军人才、享受国务院政府特殊津贴、科技部中青年创新领军人才、交通运输部中青年创新领军人才、教育部新世纪优秀人才计划、四川省学术与技术带头人、江苏省双创人才、四川省青年科技创新团队带头人、四川省杰出青年学科带头人培养计划、西南交通大学“竢实之星”和“扬华之星”高层次人才培养计划等。 (更多信息


Prof. Zhuo Wang

Beihang University, China

Biography: Zhuo Wang received the B.E. degree in Automation from Beihang University, Beijing, China, in 2006; and the Ph.D. degree in Electrical and Computer Engineering from University of Illinois at Chicago, Chicago, IL, USA, in 2013. He was a Postdoctoral Fellow with the Department of Electrical and Computer Engineering, University of Alberta, from 2013 to 2014; and then worked as a Research Assistant Professor with the Fok Ying Tung Graduate School, Hong Kong University of Science and Technology, from 2014 to 2015. Zhuo Wang was selected for the “12th Recruitment Program for Young Professionals” by the Organization Department of the CPC Central Committee, and the “100 Talents Program” by Beihang University, in 2015. As the Second Recipient, he won the First Prize of Natural Science in the Award for Outstanding Achievements in Scientific Research of Colleges and Universities (Science and Technology) by Ministry of Education of the People's Republic of China, in 2019. Then, he won the 7th Chinese Association of Automation Young Scientist Award, in 2021. Zhuo Wang joined Beihang University since January 2016, and he is currently a Professor and a Ph.D. Instructor with the Research Institute for Frontier Science, and with the Key Laboratory of Ministry of Industry and Information Technology on Quantum Sensing Technology, and with Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China; and also with Beihang Hangzhou Innovation Institute Yuhang, Hangzhou, China. Prof. Wang is currently a Vice Director of the 9th Chinese Association of Automation (CAA) Youth Work Committee; a Member of the Adaptive Dynamic Programming and Reinforcement Learning Technical Committee of IEEE Computational Intelligence Society; and is also a Member of the Data Driven Control, Learning & Optimization Professional Committee of CAA. Besides, he is an Associate Editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems; an Associate Editor of Control Theory & Applications; an Associate Editor of Acta Automatica Sinica; and is also an Associate Editor of Pattern Recognition and Artificial Intelligence. Prof. Wang's research interests include data-based system identification, modeling, analysis, learning and control; nonlinear system adaptive control; atomic spin ensembles system control; as well as state estimation and signal processing of complex high precision measurement instruments.

个人简介:王卓教授 2006 年本科毕业于北京航空航天大学自动化(自动控制与信息技术)专业;2013 年博士毕业于美国伊利诺伊州芝加哥市的伊利诺伊大学芝加哥分校,电子与计算机工程专业。 王博士曾经于 2013 至 2014 年间,在加拿大阿尔伯塔大学电子与计算机工程系担任博士后研究员。他于 2014 至 2015 年间,在香港科技大学霍英东研究院担任研究助理教授和博士后研究员职务。在 2015 年,王卓博士当选国家青年人才计划,以及北京航空航天大学“卓越百人计划”。他目前在北京航空航天大学前沿科学技术创新研究院,精密仪器与量子传感技术研究所工作,是一位教授、博导;并且从2018年12月至今,在北京量子信息科学研究院担任兼聘教授;从2017年1月至今,在北京航空航天大学大数据精准医疗高精尖创新中心,担任双聘教授。王卓教授是中国自动化学会第九届青年工作委员会副主任;IEEE 计算智能协会 (CIS) 自适应动态规划与增强学习技术委员会 (ADPRLTC) 委员;中国自动化学会第一届自适应动态规划与强化学习 (ADPRL) 专业委员会委员;中国自动化学会技术过程的故障诊断与安全性专业委员会委员;以及中国自动化学会数据驱动控制、学习与优化专业委员会委员。他是国际刊物《IEEE Transactions on Systems, Man, and Cybernetics: Systems》副编辑;《自动化学报》 (Acta Automatica Sinica) 第 13 届编辑委员会编委;《控制理论与应用》(Control Theory & Applications) 第 7 届、第8届编辑委员会编委;《模式识别与人工智能》编辑委员会编委。王卓教授还曾经于 2014 年在国际知名学术刊物 IET Control Theory & Applications 的特刊:Data based control and process monitoring with industrial applications 上担任客座编辑。此外,他还担任过第 24 届 International Conference on Neural Information Processing (ICONIP 2017),第 14 届 International Symposium on Neural Networks (ISNN 2017),和第 12 届 World Congress on Intelligent Control and Automation (WCICA 2016) 会议的 Program Committee Member。

 

 

 

 

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