Prof. Yangquan Chen
University of California, USA
YangQuan Chen earned his Ph.D. from Nanyang Technological University, Singapore, in 1998. He had been a faculty of Electrical Engineering at Utah State University (USU) from 2000-12. He joined the School of Engineering, University of California, Merced (UCM) in summer 2012 teaching “Mechatronics”, “Engineering Service Learning”, “Unmanned Aerial Systems” and “Digital Twins” for undergraduates; “Fractional Order Mechanics”, “Linear Multivariable Control”, “Nonlinear Controls” and “Advanced Controls: Optimality and Robustness” for graduates. His research interests include mechatronics for sustainability, cognitive process control and smart control engineering enabled by digital twins, small multi-UAV based cooperative multi-spectral “personal remote sensing”, applied fractional calculus in controls, modeling and complex signal processing, distributed measurement and control of distributed parameter systems with mobile actuator and sensor networks. He is listed in Highly Cited Researchers by Clarivate Analytics from 2018 to 2021. He received Research of the Year awards from USU (12) and UCM (20). Most recently he started with Dr. Bruce J. West a new book series of CRC Press on AFC4STEM (Fractional Order Thinking in Exploring the Frontiers of STEM) and established a new section for Fractals and Fractional journal on “Optimization, big data and AI/ML”. His Google Scholar citations are over 55100 with H-index 100, H-10 index 643.
Prof. Celimuge Wu
Director of Meta-Networking Research Center, The University of
Electro-Communications, Japan
He received his Master's degree from Beijing Institute of Technology, China, in 2006, and his Ph.D. degree from the University of Electro-Communications, Japan, in 2010. His research interests focus on the application of computational intelligence techniques to wireless networks and big data processing. He has published 100 scientific papers in prestigious journals and conferences. He has served as the TPC Co-Chair for Wireless Days 2019 and ICT-DM 2018, and has been a Co-Chair for many international conferences, including IEEE PIMRC 2016, IEEE ISC2 2017, ISNCC 2017, WICON 2016, and IEEE CCNC 2017. He has also served as an Associate Editor for IEICE Transactions on Communications, Guest Editor for IEEE Computational Intelligence Emerging Topics, ACM/Springer MONET, MDPI Sensors, and Hindawi MIS. He is an expert member of the IEICE Technical Committee on Communication Quality and the IPSJ SIG on Mobile Computing and Ubiquitous Communications. He received the IPSJ Digital Courier Funai Young Researcher Encouragement Award in 2011, the IEICE Communications Society Distinguished Contribution Award in 2016, the CANDAR Best Paper Award in 2016, and the INNOV Best Paper Award in 2017. He is currently the Chair of the IEEE Computational Intelligence in Big Data Special Interest Group.
Prof. Jiehan Zhou, University of Oulu, Finland
Jiehan Zhou is a Docent (Associate Professor) in Network Information Systems at University of Oulu. He received his 2nd PhD in Network Information Systems from University of Oulu and 1st PhD in Manufacturing and Automation from Huazhong University of Science and Technology. He has worked as a Post-Doc in Tsinghua University, VTT/Oulu, INRIA/Sophia-Antipolis (ERCIM Fellow),CRP Henri Tudor/Luxembourg, University of Tortonto,Carleton University, and Professor/Lecturer in Algonquin College. He has published more than 130 peer-reviewed journal, book chapter, and conference papers in Network Information Systems and Intelligent Manufacturing Systems. He has been granted more than one million Euro project funding, supervised and participanted more than 15 projects (more than 100 million) in China, Finland, and Canada. He has given more than 10 lectures in computer and automation. He serves in many international journals , conferences and workshops. He is visiting profs in China University of Petroleum, Qingdao and Wuhan University of Science and Technology and research fellow in Carleton University and University of Toronto, Canada.