Liang-En Yuan received the B.E. degree in materials science and engineering from Dalian Maritime University, Dalian, China, in 2017, where he is currently pursuing the Ph.D. degree with the Navigation College, Dalian Maritime University. He was a visiting student with the School of Computing, University of Portsmouth, Portsmouth, UK, from 2023 to 2024. His current research interests include intelligent control, optimal control, and marine vehicle control.

Yang Xiao received his B.S. and M.S. degrees in computational mathematics from Jilin University, Changchun, China, in 1989 and 1991, respectively, and his M.S. and Ph.D. degrees in computer science and engineering from Wright State University, Dayton, OH, USA, in 2000 and 2001, respectively. He is currently a Full Professor with the Department of Computer Science, University of Alabama, Tuscaloosa, AL, USA. He has published over 290 SCI-indexed journal papers (including over 50 IEEE/ACM transactions papers) and over 250 EI indexed refereed conference papers and book chapters related to these research areas. He currently serves as the Editor-in-Chief for Cyber-Physical Systems. He has/had been an Editorial Board Member or Associate Editor for 20 international journals, including the IEEE TRANSACTIONS ON CYBERNETICS since 2020, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS (2014–2015), IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2007–2009), and IEEE COMMUNICATIONS SURVEY AND TUTORIALS (2007–2014). He served/serves as a Guest Editor for over 20 times for different international journals, including the IEEE NETWORK, IEEE WIRELESS COMMUNICATIONS, and ACM/Springer Mobile Networks and Applications (MONET). He was a Voting Member of the IEEE 802.11 Working Group from 2001 to 2004, involving the IEEE 802.11 (WIFI) standardization work. He is an IET Fellow (previously, IEE).

Tieshan Li received his B.S. degree in ocean fisheries engineering from the Ocean University of China, Qingdao, China, in 1992, and the Ph.D. degree in vehicle operation engineering from Dalian Maritime University (DMU), Dalian, China, in 2005. He was a Lecturer with DMU from 2005 to 2006, where he was an Associate Professor from 2006 to 2011, and has been a Ph.D. Supervisor since 2009 and a Full Professor since 2011. From 2007 to 2010, he was a Post-Doctoral Scholar with the School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China. From 2008 to 2009, and from 2014 to 2015, he visited the City University of Hong Kong, Hong Kong, as a Senior Research Associate. Since 2013, he has been a Visiting Scholar with the University of Macau, Macau, China, many times. His current research interests include intelligent learning and control for nonlinear systems, and multiagent systems and their applications to marine vehicle control.

Dr. Dalin Zhou received his B.S. degree in automation from the University of Science and Technology of China, Hefei, China, in 2012, and his Ph.D. degree in computing from the University of Portsmouth, Portsmouth, U.K., in 2019. He is currently an Associate Professor in Intelligent Sensing and Rehabilitation with the School of Computing, University of Portsmouth, UK. His current research interests include wearable sensing and analysis, assistive robotics, rehabilitation intelligence, human behavior analysis, human-machine interaction, and intelligent engineering informatics. His research contributes to the fusion of multimodal sensing technology, electromyography, and ultrasound, intelligent systems, and machine learning algorithms for human-machine interactions in rehabilitation and industry. He has published more than 60 peer-reviewed papers and editorial volumes in his research area of interest. He has led research projects funded by Innovate UK, EU Commission, European Regional Development Fund, Daiwa Anglo-Japanese Foundation, and Japan Society for the Promotion of Science as the Principal Investigator and Co-Investigator. He has served as a guest editor of special issues in journals like the International Journal of Humanoid Robotics, Applied Sciences, Sensors and Materials, and Sensors.