Prof. Xiongwen Zhao, North China Electric Power University, china
Xiongwen Zhao is a distinguished professor and Chair of Information and Communications Engineering at North China Electric Power University, Beijing, China. With a Ph.D. degree (Hons.) from Helsinki University of Technology (TKK), Espoo, Finland, earned in 2002, Dr. Zhao has had an impactful career spanning both industry and academia. His early work included roles at the China Research Institute of Radiowave Propagation as a Senior Engineer and Director and later as a Senior Researcher and Project Manager at TKK’s Radio Laboratory, where he specialized in multiple input multiple output (MIMO) wireless communications. His expertise further developed through senior specialist roles at Elektrobit Corporation, where he contributed to the European Wireless World Initiative New Radio (WINNER) Project and advanced 4G MIMO channel models. Dr. Zhao has extensive experience with wireless technologies, including WiMAX, wireless mesh networks, and mobile satellite communications.
Professional Profile:
ORCID
Suitability of Xiongwen Zhao for the Best Researcher Award
Dr. Xiongwen Zhao, currently a full Professor at North China Electric Power University, has an impressive academic and professional track record. His extensive experience in wireless communications and next-generation network technologies such as 5G, 6G, and RIS (Reconfigurable Intelligent Surface) in space-air-ground networks underscores his influence in the field. He has a remarkable number of publications (over 310), with 110 of these indexed by SCI and six recognized as highly cited papers in global research databases, establishing him as a top-tier researcher. His recent contributions to C-NOMA-enabled space-air-ground networks, energy-efficient resource allocation for industrial IoT networks, and intelligent reflecting surfaces in high-mobility systems align with cutting-edge research areas, further enhancing his profile.
Education:
- Ph.D. (Honors), Helsinki University of Technology (TKK), Espoo, Finland, 2002.
Work Experience:
- Director and Senior Engineer (1992–1998)
Laboratory of Communications System Engineering, China Research Institute of Radiowave Propagation, Xinxiang, China.
- Senior Researcher and Project Manager (1999–2004)
Radio Laboratory, Helsinki University of Technology (TKK), Espoo, Finland.
- Specialized in multiple input multiple-output (MIMO) wireless communications.
- Senior Specialist (2004–2011)
EB Wireless Solutions, Elektrobit Corporation, Espoo, Finland.
- Engaged in the European Wireless World Initiative New Radio (WINNER) Project as a Senior Researcher for 4G MIMO channel models (2004–2007).
- Worked on WiMAX and wireless mesh networks (2006–2008).
- Focused on mobile satellite communications for GEO Mobile Radio Interface (GMR)-1 3G, Digital Video Broadcasting-Satellite Handhelds (DVB-SH), and antenna performance evaluations (2008–2009).
- Full Professor and Chair Professor of Information and Communications Engineering
North China Electric Power University, Beijing, China (Current).
- Leads projects funded by the National Science Foundation of China (NSFC) and Chinese industries, focusing on 5G and 6G research, particularly in RIS and space-air-ground communications.
Additional Roles and Honors:
- Over 310 publications, with 110 SCI-indexed articles and 6 highly cited papers by ESI and Scopus.
- Senior Member of IEEE, Fellow of the Chinese Institute of Electronics (CIE), and Fellow of the China Institute of Communications.
- Recipient of multiple awards, including the IEEE Vehicular Technology Society Neal Shepherd memorial best propagation paper award (2014), IEEE ISAPE Best Paper Awards (2018, 2021), and IEEE IWCMC Best Paper Award (2019).
- Serves as an Associate Editor for IEEE Antennas and Wireless Propagation Letters and IET Communications. Also an Area Editor for the Chinese Journal of Radio Science, and a Leading/Guest Editor for several SCI journals.
Publication top Notes:
Collaborative Edge Computing and Program Caching With Routing Plan in C-NOMA-Enabled Space-Air-Ground Network
Energy-Efficient Resource Allocation for Space–Air–Ground Integrated Industrial Power Internet of Things Network
Energy-Minimization Resource Allocation for FD-NOMA Enabled Integrated Sensing, Communication, and Computation in PIoT
Intelligent Reflecting Surface Assisted High-Mobile Edge Computing System: Joint Optimization of Computation and Communication
MADRL-Based URLLC-Aware Task Offloading for Air-Ground Vehicular Cooperative Computing Network
Optimal Resource Allocation for AGIN 6G: A Learning-Based Three-Sided Matching Approach