9th International Workshop on Control Engineering and Advanced Algorithms

	Prof. Peng Shi Adelaide University, Australia Peng Shi is now a Distinguished Professor at the School of Electrical and Mechanical Engineering, and the Director of Advanced Unmanned Systems Laboratory, and Cyber-Physical-Human Systems Laboratory, at The University of Adelaide, Australia. His research interests include systems and control theory and applications to autonomous and robotic systems, cyber-physical systems, and multi-agent systems. His accolades include the Lotfi Zadeh Pioneer Award (2025), Nobert Wiener Outstanding Research Award (2024), and the Meritorious Service Award (2023) from IEEE SMC Society; the Annual Scientific Award (2024), and Ramesh Agarwal Life-time Achievement Award (2023) from the International Engineering and Technology Institute; the MA Sargent Medal from Engineers Australia (2022); the Honor of Life-time Achiever Leaderboard and Field Leader from The AUSTRALIAN Research Review (2019-2024); and the Recognition of Highly Cited Researcher from Clarivate (2014-2024). Currently he serves as the Editor-in-Chief of IEEE Transactions on Cybernetics, a Senior Editor of IEEE Access, and an associate editor of Automatica, and IEEE Transactions on Artificial Intelligence. His professional service includes as a Member of Board of Governor, Vice President, and Distinguished Lecturer in IEEE SMC Society. He is a Fellow of Australian Academy of Technological Sciences and Engineering. a Fellow of IEEE, and a Member of the Academy of Europe. He received the PhD degree in Electrical Engineering from the University of Newcastle, Australia, the Doctor of Science degree from the University of Glamorgan, UK, and the Doctor of Engineering degree from the University of Adelaide, Australia.
	Prof. Jizhou Lai Nanjing University of Aeronautics and Astronautics, China Lai Jizhou, the second post professor / doctoral supervisor of Nanjing University of Aeronautics and Astronautics, is a national high-level talent. In 2005, he received a doctorate in navigation, guidance and control from Nanjing University of Aeronautics and Astronautics. From 2013 to 2014, he was a visiting scholar at the Institute of Aeronautics and Astronautics, University of Toronto. It is mainly engaged in inertial navigation and satellite navigation, multi-source fusion navigation, unmanned system perception navigation and other research work. Deputy Director of Key Laboratory of Advanced Aircraft Navigation, Control and Health Management, Ministry of Industry and Information Technology. He served as the executive director of the China Inertial Technology Society and the executive director of the Jiangsu Automation Society. In recent years, he has presided over the key projects of the Military Science and Technology Commission, the key projects of the Equipment Development Department of the Military Commission, the joint fund / general project of the National Natural Science Foundation of China, and the key research and development projects of the Ministry of Science and Technology. He published 4 academic monographs, authorized more than 90 patents, and received 7 provincial and ministerial science and technology awards.
	Prof. Tao Li Chinese Academy of Sciences, China Li Tao, who graduated from the automation major of Nankai University in 2004, received a doctorate in system theory from the Institute of Mathematics and Systems Science, Chinese Academy of Sciences in 2009, and is currently a second-level researcher at the Institute of Mathematics and Systems Science, Chinese Academy of Sciences. He was the second-level professor of East China Normal University, the director of the Department of Intelligent Mathematics, and the deputy director of the Key Laboratory of Mathematics and Engineering Application of the Ministry of Education. He has been selected as a special professor of Shanghai ' Oriental Scholars ' ( 2012 ) and the Ministry of Education ' Yangtze River Scholars Award Program ' ( 2022 ). The main research directions are stochastic systems and control, distributed learning, control and game.
	Prof. Fanli Meng Nanjing University of Aeronautics and Astronautics, China Meng Fanli, a second-level professor and doctoral supervisor of Northeast University. The winner of the National Natural Science Foundation of China Youth A Project, the chief scientist of the National Key R & D Project, the Youth Science and Technology Award of the Chinese Society of Automation, the first batch of Liaoning Province 's ' Xingliao Talent Plan ' young top-notch talents, Liaoning Province 's ' Millions of Talent Project ' hundred-level talents, Shenyang High-level talents leading talents, and outstanding scientific and technological workers of the Chinese Electronics Society. He has published more than 200 SCI papers in journals such as IEEE Trans.He has cited nearly 10,000 times, and the H factor is 56. Among them, there are 10 highly cited papers in ESI, and the highest single citation is more than 900 times. He presided over and participated in 1 national key R & D program project and 1 project each, and presided over 7 key and general projects of the National Natural Science Foundation of China. It has won the first prize of natural science in Anhui Province, the second prize of natural science in Liaoning Province, the second prize of technical invention of China Automation Society, the second prize of science and technology / youth award of China Association for Analysis and Testing.
	Prof. Zhenbao Liu Northwestern Polytechnical University, China The flight control system is related to the flight safety, maneuverability, stability, comfort and other operational indicators of civil aircraft. It is very important to monitor the flight control system in real time and predict its health in multiple dimensions. The flight control system is composed of sensors, flight control computers, and actuators that sense the flight state. The state monitoring scheme is studied, and the hardware faults are monitored from the components to the system. The knowledge-based fault diagnosis technology and the model-based observation technology are proposed to support the flight control system. Online monitoring, offline testing, and troubleshooting.