Prof. Junzhi Yu, IEEE/CAA Fellow
Peking University, China
Junzhi YU, male, born in 1975, is an IEEE Fellow, a fellow of the Chinese Association of Automation, and a recipient of the National Science Fund for Distinguished Young Scholars. He is a Bo Ya Distinguished Professor and doctoral supervisor at the Department of Mechanics and Engineering Science and the Department of Advanced Manufacturing and Robotics, School of Engineering, Peking University. He also serves as the vice dean of the Institute of Ocean Research, Peking University.
YU Junzhi studied Safety Engineering at North University of China (formerly North China Institute of Technology) from 1994 to 1998 and obtained a bachelor's degree. From 1998 to 2001, he studied Precision Instruments and Machinery at North University of China and received a master's degree. From 2001 to 2004, he studied Control Theory and Control Engineering at the Graduate University of the Chinese Academy of Sciences and obtained a doctoral degree. From 2004 to 2006, he conducted postdoctoral research at the Center for Systems and Control, Peking University. From 2006 to 2018, he served as an associate researcher and then a researcher at the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences. From 2018 to 2020, he was a professor at the Department of Mechanics and Engineering Science, School of Engineering, Peking University. In April 2020, he transferred to the Department of Advanced Manufacturing and Robotics, School of Engineering, Peking University.
Junzhi YU's main research areas include intelligent robots, mechatronics, and computational intelligence.
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Prof. Tao Chen, Associate Vice Principal
University of Surrey, UK
TaoChen, Ph.D., Professor, is currently the Associate Vice-Chancellor for International Affairs at the University of Surrey, and the Deputy Editor-in-Chief of the Journal of Franklin Institute. He obtained his bachelor's and master's degrees in the Department of Automation at Tsinghua University from 1996 to 2002. From 2002 to 2006, he pursued his Ph.D. in Chemical Engineering at Newcastle University in the UK and remained there as a research assistant in the same year. From 2008 to 2010, he served as an assistant professor at Nanyang Technological University in Singapore. In 2011, he joined the University of Surrey. Professor Chen Tao has long been engaged in research in computational science and data science, with research interests including model-based system design, state/parameter estimation, optimization and control, process fault detection and diagnosis, and application methods in biomedicine. He has published over 120 papers in international mainstream journals, with more than 2,000 citations and an H-index of 24. As the principal investigator, he has accumulated research funds of over 2 million pounds, and as a co-investigator, he has accumulated research funds of over 6 million pounds.
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Prof. Youqing Wang, IET Fellow
Beijing University of Chemical Technology, China
YouqingWang, a recipient of the National Science Fund for Distinguished Young Scholars and an IET Fellow, is a professor and doctoral supervisor at the School of Information Science and Technology, Beijing University of Chemical Technology, where he also serves as the dean. Wang Youqing is a member of the editorial boards or guest editorial boards of nine SCI journals and a member of three IFAC technical committees. He is the chief scientist of a national key research and development program project and the principal investigator of a key project of the National Natural Science Foundation of China. He has won one natural science award each from the Ministry of Education, Beijing Municipality, and Shandong Province. He has published three monographs and over 160 SCI papers as the first or corresponding author, and has been granted over 20 invention patents. His research achievements have been applied in leading enterprises such as Sinopec and PetroChina. He was included in the "Lifetime Scientific Impact Ranking" and the "Annual Scientific Impact Ranking" of the sixth edition of the "Annual Global Top 2% Scientists List". His research interests include fault diagnosis and fault-tolerant control, artificial intelligence, and modeling and control of biomedical processes.
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Prof. Marcello Campos
Federal University of Rio de Janeiro, Brazil
Professor Marcello Campos currently works at the Federal University of Rio de Janeiro, Brazil. His research interests include electrochemical materials and the estimation of arrival direction for gunshot localization. His work in gunshot localization focuses on developing algorithms for estimating the direction of arrival (DOA) of gunshot signals in noisy environments. This research aims to improve the accuracy of shooter localization by addressing issues such as the decline in signal-to-noise ratio and the detection of false peaks in cross-correlation functions. He has also studied the method of producing glassy polymer carbon from phenolic formaldehyde resin, as well as the application of this material as an electrode material in charge transfer reactions or a supporting electrode in electroactive polymers. He holds a Ph.D. in Electrical Engineering from the University of Victoria, Canada, is the academic leader of UFRJ, serves as a key position holder in the IEEE Communication Society's Latin American region and branch, is a core member of the Brazilian Telecommunications Association, and teaches mobile communication courses in 15 countries, with over 150 courses.
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