Prof. Weihua Zhang, National University of Defense Technology, China

Speech Title: Research on Target Detection Technology of Long Horizontal Array in Deep Sea (Abstract)

Zhang Weihua, Ph.D., Professor the College of Meteorology and Oceanography, National University of Defense Technology. He formerly headed the underwater acoustic signal processing group at the Deep-Sea Science and Technology Institute. Dr. Zhang has led dozens of national and ministerial-level research projects and received one First Prize for Scientific and Technological Progress from the China Computer Federation, one First Prize and two Third Prizes for Scientific and Technological Progress from provincial and ministerial authorities.

Dr. Robert Kuo-Chung LIN, AI Research Scientist and Head AI of CCAI, Certis Grop, Singapore

Speech Title: Integrating ontology and knowledge graph to enhance Vision Transformer which to reduce false alarm rates in AI camera clusters of Smart City (Abstract)

Dr. Robert Kuo-Chung LIN, a computer engineering Ph.D., who previously served as a professor at the National University of Technology and Design(Singapore) and as a member of the IEET International Accreditation Committee for Engineering Education in China, Taiwan. currently a leading artificial intelligence scientist. To led the development of 13 successful AI applications to enhance physical for major projects. My life goal is to drive artificial intelligence to create a better life for humanity and to integrate ontology knowledge engineering into business processes to generate revenue and share profits.

Prof. Wen Cheng Lai, Ming Chi University of Technology, Taiwan, China

Speech Title: Image Processing for Silicon Photonics Applications (Abstract)

Wen-Cheng Lai (Senior Member, IEEE), Ph.D., Professor the Department of Electrical Engineering, Ming Chi University of Technology. He has been working in the field of radio-frequency circuits, analog IC integrated design, microwave antenna, computer and communication, artificial intelligence for more than 25 years. He has authored/ coauthored more than 300 SCI indexed journals and IEEE conference/ EI papers. He edited more than 60+ SCI indexed journals. He received the Ph.D. degree from the National Taiwan University of Science and Technology, Taiwan. He is Scopus World Ranking Top 2% Scientists from 2020 to 2023. He is professor at the Ming Chi University of Technology, New Taipei City, Taiwan.

Assoc. Prof. Jiansen Zhao, Shanghai Maritime University, China

Speech Title: Deep Learning-Enabled Beamforming and Blind Source Separation for Reliable MIoT Systems (Abstract)

Jiansen Zhao, Engaged in research and development work in maritime satellite communication, intelligent AIS information processing, radar communication antennas, Beidou antennas, and other fields. Hosted and participated in more than 20 national and provincial level projects, including the National Natural Science Foundation General Project, the National Natural Science Foundation Youth Fund, the National Key R&D Program Sub Project, the Shanghai Science and Technology Commission Key Project, the Shanghai Natural Science Foundation, the Shanghai Pujiang Plan, the Shuguang Plan, the China Postdoctoral Fund General Project, and the Ministry of Transport Basic Research Project. Published more than 60 papers, including more than 30 high-level papers with international influence, including 5 Chinese journals. Selected 4 ESI highly cited papers and authorized 4 invention patents.

Assoc. Prof. Chenglong Li, National University of Defense Technology, China

Speech Title: Soft Localization via Unsupervised Multi-Task Joint Learning (Abstract)

Chenglong Li, received the Ph.D. degree in electrical engineering from Ghent University, Ghent, Belgium, in 2022.,From 2018 to 2022, he was a Research Assistant with the Department of Information Technology, Ghent University-imec, Ghent. He is currently an Assitant Professor with the College of Electronic Science and Technology, National University of Defense Technology, Changsha, China, and also with National Key Laboratory for Positioning Navigation and Timing Technology, Changsha, China. His current research interests include positioning and navigation, wireless sensing, wireless channel modeling, and mobile computing.,Dr. Li was a recipient of the International Union of Radio Science (URSI) Young Scientist Award and European Microwave Association (EuMA) Student Grant and Chinese Government Award for Outstanding Self-Financed Students Abroad.

Dr. Zhe Geng, Nanjing University of Aeronautics and Astronautics, China

Zhe Geng received dual B.S. degrees (Magna Cum Laude) in electrical engineering (EE) from Florida International University (FIU), Miami, FL, USA, and Hebei University of Technology, Tianjin, China, in 2012. She received the Ph.D. degree in EE from FIU in 2018 (FIU Presidential Fellowship). From 2018 to 2019, she was a research scientist with Wright State University, Dayton, OH, USA. In Dec. 2019, Dr. Geng jointed the Radar Detection and Imaging Techniques Research Group at Nanjing University of Aeronautics and Astronautics (NUAA) as Research Associate. Dr. Zhe Geng is the primary investigator (PI) of research projects funded by the National Natural Science Foundation of China and the Natural Science Foundation from Jiangsu Province. Her research interests include deep learning, image processing, and automatic target recognition. She published more than 50 papers in journals and international conference proceedings and is the 2nd author of Radar Networks (CRC press, 2020).

Prof. Bingnan Wang, Aerospace Information Research Institute, Chinese Academy of Sciences, China

Speech Title: Latest Advances in Synthetic Aperture Ladar (Abstract)

Bingnan Wang received his Ph.D. degree from the Graduate University of Chinese Academy of Sciences, Beijing, China, in 2011.Then he joined Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing. He has been a research fellow with the National Key Laboratory of Microwave Imaging (MIL), AIRCAS. He is currently deputy director of MITL and also the team leader of multi-dimensional SAR imaging and detection. He has authored and co-authored more than 100 peer-reviewed journal articles in the field of SAR imaging technology. His research interests are focused on signal processing of advanced SAR system, including theory and applications of SAR interferometry, harmonic radar, synthetic aperture ladar imaging, and air/ground moving target detection.

Assoc. Prof. Aifei Liu, Xi'an Jiaotong-Liverpool University (XJTLU), China

Dr Aifei Liu is currently an Associate Professor at the School of Al and Advanced Computing, Xi'an Jiaotong-Liverpool University (XJTLU), Suzhou, China. Dr Liu received her PhD in June 2012, from the School of Electronic Engineering, Xi’dian University, China. She worked on array signal processing as her PhD dissertation topic, aiming to develop robust direction of arrival (DOA) estimation methods in the presence of array imperfections. From Feb 2013 to June 2017, she worked as a Research Fellow at the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU). She was engaged in two projects relevant to joint temporal-spatial target detection by airborne radar and radar co-existence with communications. From Aug 2017 to Dec 2021, she worked as an Associate Professor at the College of Underwater Acoustic Engineering, Harbin Engineering University (HEU). Her research focus was on developing robust and accurate target detection methods for underwater vector sensor arrays. From Jan 2021 to Feb 2025, after she joined the School of Software at Northwestern Polytechnical University (NPU), she expanded her research from traditional signal processing theory to deep neural networks (DNN) and developed several DNN models by integrating the knowledge of array signal processing into the DNN models. Her research interests are the DNN theory and signal processing theory and their applications on radar, sonar, and communications, and applying these theories in other applications such as anomaly detection in different events.

Prof. Zhenzhou Wang, Huaibei Normal University, China

Zhenzhou Wang (Member, IEEE) received the bachelor’s and master’s degrees from the Department of Electronics and Information Engineering, Tianjin University, Tianjin, China, in 2000 and 2003, respectively, and the Ph.D. degree from the Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY, USA, in 2007. He worked at University of Kentucky as the post-doc and research associate. He was selected in the “Hundred Talents Plan, A-Class” of the Chinese Academy of Sciences in 2015. He was selected for both career and single-year lists of the world's top 2% outstanding scientists in 2022, 2023,2024 and 2025. He is currently a distinguished professor at school of computer science and technology, Huaibei Normal University, China. He has published more than 60 SCI-indexed articles as the first or corresponding author in internationally renowned journals, such as IEEE TIP, IEEE T IND INFORM, IEEE T IND ELECTRON, IEEE SIGNAL PROC MAG, IEEE J-STSP, IEEE T CIRC SYST VID, IEEE T AUTOM SCI ENG, ROBOT CIM-INT MANUF, PATTERN RECOGN, EXPERT SYST APPL, APPL SOFT COMPUT.

Prof. Chao Li, Institute of Acoustics，CAS, China

Professor Li Chao graduated from the University of Burgundy in Europe, France. In 2017, he was selected for the Chinese Academy of Sciences' "Hundred Talents Program" and joined the Institute of Acoustics of the Chinese Academy of Sciences. He currently serves as a Professor and Ph.D. Supervisor, and has long been engaged in research in the field of underwater acoustic signal processing. He has published 50 SCI/EI papers and one academic book in English, been granted three national patents, and won a national technological invention award. He has led eight provincial/ministerial-level or higher projects/phases, with cumulative funding of 14.7493 million yuan. He serves as the Chief Designer for the National Major Special Project on Ocean Engineering and has participated in 13 projects, including national major special projects and key national research and development programs. He has organized and participated in 12 major ocean scientific expeditions, serving as Chief Scientist/Commander in nine of them. He established an international scientific research and talent joint training program, which received funding from the China Scholarship Council and the "Future Partners" Program of the Bureau of International Cooperation, Chinese Academy of Sciences.

Asst. Prof. Liming Zhang, University of Macau, China

Speech Title: Adaptive Fourier Decomposition (AFD): A New Sparse Learning Method in Signal and Image Processing (Abstract)

Liming Zhang received the B.S. degree in Computer Software at Nankai University, China and M.S. degree in Signal Processing at Nanjing University of Science and Technology, China. She received her PhD degree in image processing at University of New England, Australia. She is currently an assistant professor in Faculty of Science and Technology, University of Macau. Her research interests include Computer vision, Image processing, Artificial intelligence, Machine learning, and Deep learning. She has published over 100 papers, including IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, CVPR, ect. The main contribution lies on new image and signal processing methodology – adaptive Fourier decomposition (AFD)-based signal and image processing methods and new deep network development. The image and video compression results based on stochastic AFD (SAFD) exceed the current international image and video compression standards JPEG, JPEG2000, MPEG, and also exceed the compression results of the popular deep networks. SAFD-based deep networks also perform well in alleviating the scarcity of training data.

Assoc. Prof. Rui Jiang, Southeast University, China

Speech Title: Cryptanalysis on TLS Protocol Based on Strand Space Model (Abstract)

Rui Jiang is now an associate professor at Southeast University, China. He received his Ph D degree at Shanghai Jiaotong University, China in 2005. He published more than 80 papers in IEEE TPDS、TSC, Computers & Security, Journal of Computers, respectively. He had authorized more than 30 national invention patents. He gained Second Prize of Scientific and Technological Progress for Shanghai. His current research interests include security of cloud computing and big data, AI system security, cryptanalysis and design of communication protocols, secure mobile network and systems communications, mobile voice end-to-end secure communications, and applied cryptography.

Dr. Chunyu Tan, Anhui University, China

Speech Title: ECG Biometric Identification Using SAFD Enhanced Self-organized Operational Networks (Abstract)

Dr. Chunyu Tan is a Lecturer and Master’s Supervisor at the School of Artificial Intelligence, Anhui University, China. Her research interests include biomedical signal processing and human–computer interaction. She has led projects funded by the National Natural Science Foundation of China and serves as a reviewer for several international journals.

Assoc. Prof. Ziye Jia, Nanjing University of Aeronautics and Astronautics, China

Speech Title: Framework and Resource Optimization for Low-Altitude Intelligent Networks (Abstract)

Dr. Ziye Jia received the B.E., M.S., and Ph.D. degrees in communication and information systems from Xidian University, Xi’an, China, in 2012, 2015, and 2021, respectively. From 2018 to 2020, she was a Visiting Ph.D. Student with the Department of Electrical and Computer Engineering, University of Houston. She is currently an Associate Professor with the Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China. Her current research interests include space-air-ground networks, aerial access networks, UAV networking, resource optimization and machine learning. She has published more than 70 scientific articles in leading journals and international conferences. She obtained the Best Paper Award of FCN 2025. She is currently an Associate Editor of the IEEE Internet of Things Journal. She served as the TPC for IEEE GLOBECOM 2025/2024/2023,IEEE WCNC 2025/2024, IEEE WCSP 2025, etc.

Prof. Xiaomin Chen, Nantong University, China

Speech Title: Energy-Efficient Multi-Agent UAV-Assisted Maritime Communications (Abstract)

Xiaomin Chen is a full Professor in the Department of Communication Engineering, School of Information Science and Technology, Nantong University, China. Her research interests include energy-efficient optimization and reliability enhancement for wide-area IoT communications, near-shore maritime communications, broadband wireless communication systems, and integrated sensing and communication (ISAC) networks. She received her Dr.-Ing. degree (Summa Cum Laude) from Technische Universität Braunschweig, Germany, and previously worked as a Senior Engineer at Telefónica Germany, where she was involved in backbone network planning and strategic research. Prof. Chen has led multiple research projects funded by the National Natural Science Foundation of China as well as provincial and municipal agencies, and has carried out collaborative research with industry partners. She has published extensively in leading international journals and conferences in wireless communications, IoT, and maritime communication systems.  

Assoc. Prof. Yingyang Chen, Jinan University, China

Speech Title: Towards Edge Intelligence via Autonomous Navigation: A Robot-Assisted Data Collection Approach (Abstract)

Yingyang Chen (Senior Member, IEEE) received the B.Eng. degree from the Yingcai Honors College, University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2014, and the Ph.D. degree from Peking University, Beijing, China, in 2019. She is currently an Associate Professor with Jinan University, Guangzhou, China. Her research interests include next-generation multiple access, cross-layer resource allocation, and mobile edge intelligence. She was a recipient of the Award for Scientific Research of Peking University and the First Prize of Science and Technology Progress Award from the China Work Safety Association. She is serving as an Editor for IEEE COMMUNICATIONS LETTERS

Prof. Yinglei Teng, Beijing University of Posts and Telecommunications, China

Speech Title: Heterogeneous Federated Learning at the Edge: From Data Diversity to Model Optimization (Abstract)

Yinglei Teng, a professor at Beijing University of Posts and Telecommunications, specializes in wireless communications, stochastic optimization, and edge intelligence. She received funding from renowned programs, including the NSFC, National Key R&D Young Scientist Project, Huawei, and China Mobile, etc.. She has authored over 30 high-quality SCI papers, holds more than 80 invention patents, and has contributed to 8 industry standards. She has been recognized with honors such as the China Association for Science and Technology Special Award and the Beijing Science and Technology Award. Her recent research focuses on edge intelligence, ML/AI for PHY, and millimeter-wave technologies, etc.