Editorial Board

Editor-in-Chief

Email: [email protected]

Research Interests:Intelligent Vehicles, Unmanned Aerial Vehicles, Unmanned Ground Vehicles, Autonomous Underwater Vehicles, Motion Planning, Simultaneous Localization And Mapping (SLAM), Mechatronics, Control Systems, Robotics, Multi-agent Systems, Artificial Intelligence

Short Bio: Howard Li (PhD, IEEE Senior Member) is a professor in the Department of Electrical and Computer Engineering, University of New Brunswick, Canada. He is a registered professional engineer in the Province of Ontario. He obtained his Ph.D. in Electrical and Computer Engineering and the Certificate in University Teaching from the University of Waterloo, Ontario. He received his certificate in Team Based Project Management from the School of Business, Queen’s University, Kingston, Ontario. He obtained his bachelor's degree in Electrical Engineering from Zhejiang University, China. Dr. Li is a board member of the IEEE SA Standards Board. He chairs the IEEE Charles Proteus Steinmetz Award committee, one of the highest technical recognitions given by the Institute of Electrical and Electronics Engineers professional society. He is honoured to chair the first autonomous robotics standard ever published by the IEEE, with over 100 group members from academia, industry, and government agencies from all continents. Dr. Li is a visiting professor of École Polytechnique Fédérale de Lausanne, Switzerland and Università di Pavia, Italy, etc. Before joining UNB, he was employed by Atlantis Systems International in the development of training systems for the F/A-18 Hornet fighter aircraft for the Boeing company, Canadian Forces, Royal Australian Air Force, and training systems for the Royal Danish Air Force. He has developed software and hardware for both civilian and military applications.
Dr. Li’s research interests are UxVs (unmanned aerial vehicles, unmanned ground vehicles, unmanned underwater vehicles), motion planning, Simultaneous Localization And Mapping (SLAM), mechatronics, control systems, robotics, multi-agent systems, and artificial intelligence. He had the honour to deliver numerous plenary speeches with respected leaders, such as Professor Michael Jordan, Professor Stanley Osher, President of Unmanned Systems International, President of ICAO, Chairman of DJI, VP of JD.com, Inc. He regularly assesses grant applications for premier funding agencies, such as Canada Research Chairs, Natural Sciences and Engineering Research Council of Canada (NSERC), Swiss National Science Foundation, and Israeli Ministry of Science, etc. He has secured research grants from premier funding agencies, such as Natural Sciences and Engineering Research Council of Canada, Canada Foundation for Innovation, Defence Research and Development Canada (Medicine Hat, Alberta; Ottawa, Ontario; Halifax, Nova Scotia), Foreign Affairs and International Trade Canada, New Brunswick Innovation Foundation. Dr. Li has published articles in prestigious robotics journals such as International Journal of Robotics Research, Journal of Field Robotics, IEEE Robotics and Automation Magazine, etc. His works have been cited thousands of times. Notable students under his supervision were offered Canada CIFAR AI Research Chair and Canada Research Chair positions.

Associate Editors

Rui Gao, Personal Website

Email: [email protected]

Research Interests: Sparse representation, optimization methods, state estimation, image fusion and deblurring, Autonomous path planning, Intelligent behaviors in Unmanned Surface Systems.

Short Bio: Rui Gao is an Associate Professor in the Department of Naval Architecture and Ocean Engineering at Shanghai Jiao Tong University. She earned her Doctor of Science (Tech.) degree in Automation, Systems and Control Engineering from Aalto University, Finland, in 2020, and conducted postdoctoral research at the University of Cambridge, UK, in 2021. She has been selected for the Shanghai Overseas High-Level Leading Talents Program and the Pujiang Talents Program. Her research focuses on the innovative application of artificial intelligence algorithms in marine unmanned systems.

Jialin Wang, Personal Website

Email: [email protected]

Research Interests: Brain–computer interface technologies, deep learning, brain signal analysis, graph-based methods.

Short Bio: He received his Ph.D. from Fudan University in 2021 and subsequently conducted postdoctoral research there from 2021 to 2024. He is currently a Postdoctoral Researcher in the Department of Electrical and Computer Engineering at the University of Washington. His research focuses on advanced computational methods for brain signal analysis, with applications in brain–computer interfaces and related intelligent systems.