Biography:
Guan Gui received his Ph.D. degree from the University of Electronic Science and Technology of China, Chengdu, China, in 2012. From 2009 to 2014, he was a research assistant and postdoctoral research fellow at Tohoku University, Japan. From 2014 to 2015, he was an Assistant Professor at Akita Prefectural University in Japan. Since 2015, he has been a Professor at Nanjing University of Posts and Telecommunications, China. His research focuses on intelligent sensing and recognition, intelligent signal processing, and physical layer security. Dr. Gui has authored over 200 IEEE journal and conference papers and received several best paper awards, including at ICC 2017, ICC 2014, and VTC 2014-Spring. He is a fellow of IEEE, IET, and AAIA, and he is recognized for his contributions to intelligent signal analysis and wireless resource optimization. Among his accolades, he received the IEEE Communications Society Heinrich Hertz Award in 2021 and was named a Clarivate Analytics Highly Cited Researcher from 2021 to 2024. Dr. Gui is a Distinguished Lecturer for the IEEE Vehicular Technology Society (VTS) and the IEEE Communications Society (ComSoc). He is an editorial board member for several leading journals, including the IEEE Transactions on Information Forensics and Security, IEEE Internet of Things Journal, and IEEE Transactions on Vehicular Technology. Additionally, he serves as the Editor-in-Chief of KSII Transactions on Internet and Information Systems. He has also held prominent roles in international conferences, such as Executive Chair of IEEE ICCT 2023, Executive Chair of VTC 2021-Fall, and Vice Chair of WCNC 2021.
Abstract: The electromagnetic spectrum, as a national strategic resource, is an important support for the operation of the information warfare system and the release of combat effectiveness. Precise understanding and efficient control of the electromagnetic spectrum have become key core elements for the overall command and control of the electromagnetic spectrum. At present, China has established an electromagnetic spectrum recognition and control system based on artificial intelligence and framework of OODA, and has made significant progress in this field. However, due to its late start, there are still challenges such as incomplete measurement, unclear recognition, unstable control, and inaccurate evaluation in complex electromagnetic environments. To address the above challenges, the research team, supported by key projects such as the Military Science and Technology Commission and the Natural Science Foundation, has conducted research on key technologies for precise and efficient electromagnetic spectrum recognition and control from three aspects: spectrum measurement, spectrum cognition, and spectrum management. They have designed a technology roadmap based on data, cognition as the process, and control as the goal, and have achieved a series of results including datasets, algorithms, software, and hardware, achieving a leap from incomplete measurement, unclear recognition, unstable control, and inaccurate evaluation to complete measurement, clear recognition, stable control, and accurate evaluation.