| Prof. Feifei GaoTsinghua University,China Professor, Department of Automation, Tsinghua University; National Science Fund for Distinguished Young Scholars; IEEE Fellow; IEEE Communications Society Distinguished Lecturer; Clarivate Analytics Highly Cited Researcher. Research interests include ultra-large-scale multi-antenna communications, integrated communication and sensing, multimodal intelligent communication, and embodied intelligence. The team independently developed a 256-channel broadband RF direct-sampling software-defined radio platform and an FPGA+GPU heterogeneous real-time intelligent signal processing system. Over 200 IEEE journal papers have been published, with Google citations exceeding 20,000. |
| Prof. Ying-Ren ChienNational Taipei University of Technology, China Title: Bias Compensation for Kernel Adaptive Filtering Algorithms From June 2010 to July 2011, Ying-Ren Chien has joined the Chung-Shan Institute of Science and Technology as an assistant researcher fellow. Since August 2011, he joined the Department of Electronic Engineering, National Ilan University, Ilan, Taiwan. Currently, he is a Full Professor. His research interests include adaptive signal processing theory, DSP in VLSI, signal processing on communication system, game theory, high-speed network transmission, cooperative communication, cognitive radio, and interference cancellation. In 2007, he received the Best Paper Award in the area of communication theory and systems of the 2007 International Conference on Communications, Circuits and Systems (ICCCAS). |
| Assoc. Prof. Zheng WangSoutheast University, China Title: Hybrid-domain Signal Processing For MIMO Systems He is currently an Associate Professor and Doctoral Supervisor at Southeast University. He is a recipient of the Jiangsu Provincial “Double Innovation” Doctoral Talent Program and a Senior Member of the IEEE. He was consecutively recognized as a China Highly Cited Researcher in Information and Communication Engineering by Elsevier in 2023 and 2024. In recent years, he has led more than ten research projects, including subprojects of Key Programs, General Programs, and Young Scientists Programs funded by the National Natural Science Foundation of China. He has published over 80 research papers, including articles in leading international journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, IEEE Transactions on Wireless Communications, and IEEE Transactions on Communications. He received the First Prize of the Jiangsu Provincial Science and Technology Progress Award and the “Spark Award” from Huawei Technologies. He currently serves as a Young Editorial Board Member of Chinese Journal of Electronics (CJE) and has acted as a co-chair for several international conferences, including IEEE VTC, ICMLCN, and IWCMC. |
| Prof. Qing PanZhejiang University of Technology, China Title: Intelligent Diagnosis and Treatment for Critical and Acute Diseases Qing Pan is a Professor and Doctoral Supervisor at the College of Information Engineering, Zhejiang University of Technology. He has been designated as an Outstanding Young Talent by the “Zhejiang Provincial Special Support Program for High-Level Talents”. He holds a Ph.D. in Biomedical Engineering from Zhejiang University and completed postdoctoral research at Charité – Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Germany. His primary research focuses on biomedical signal processing and medical artificial intelligence. He has authored over 30 papers in SCI-indexed journals, including Nature Communications, eClinicalMedicine and Critical Care, and holds more than 20 patents. He has led three NSFC projects and one project under the National Medical Products Administration (NMPA) and Ministry of Industry and Information Technology (MIIT) AI Innovation Task in Medical Devices. He serves as a Council Member of the Chinese Society of Microcirculation, Standing Committee Member of the Microcirculation Information and Technology Committee, and Committee Member of the Respiratory Equipment Technology Committee of the China Association of Medical Equipment |
