Prof. Wei Pu, University of Electronic Science and Technology of China, China

Speech Title: Artificial Intelligence (AI) for SAR imaging (Abstract)

Wei Pu received the B.S. and Ph.D. degrees in electronic engineering from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2012, and 2018, respectively. he was a visiting student with the Department of Electrical Engineering, Columbia University, USA, and a research fellow at University College London (UCL), UK. He was a recipient of the Newton International Fellowship from the Royal Society, UK. He is a Professor with UESTC now. His research interests include synthetic aperture radar, sparse signal processing and deep learning.

Prof. Chuan Qin, University of Shanghai for Science and Technology, China

Chuan Qin received his B.S. degree in electronic engineering and the M.S. degree in signal and information processing from Hefei University of Technology, Anhui, China, in 2002 and 2005, respectively, and the Ph.D. degree in signal and information processing from Shanghai University, Shanghai, China, in 2008. Since Dec. 2008, he has been with the faculty of University of Shanghai for Science and Technology, where he is currently a Professor. He was with Feng Chia University at Taiwan as a Postdoctoral Researcher from July 2010 to July 2012. His research interests include multimedia intelligent computing, AI security, data hiding and image processing in encrypted domain. He has published over 200 peer-reviewed papers in journals and conferences, such as IEEE TIP, IEEE TIFS, IEEE TMM, IEEE TCSVT, IEEE TDSC, IEEE TKDE, and ACM MM. He has also published one book and held six authorized patents. He was selected as the Highly Cited Chinese Researchers by Elsevier in 2020 and the World’s Top 2% Scientists in 2020-2024. He won the Excellent Paper Awards of CIHW 2016 and ChinaMFS 2023, and the Candidate of Excellent Paper Award of IEEE IIHMSP 2014. He has served as the Associate Editor for ACM TOMM, Signal Processing (Elsevier) and Information Fusion (Elsevier).

Prof. Jiaqiu Ai, Hefei University of Technology, China

Jiaqiu Ai (M’17) received his BS degree in Electronics & Information from the Beijing Information Science and Technology University in 2007, and his PhD degree in Information & Communication from University of Chinese Academy of Sciences in 2012. He is currently a professor at Hefei University of Technology (HFUT), Hefei, China. He is the author of more than 60 journal papers. He is the editorial member of Journal of Remote Sensing, Computer Engineering, Modern Radar, Journal of Southwest Jiaotong University, and Journal of Naval Aviation University. He is one of the Hefei Leading Talents, and a Young Academic Talent of HFUT. He is the best reviewer for Journal of Remote Sensing, Journal of Electronics and Information & Engineering, and Journal of Radar. His current research interests include computer vision and application, remote sensing image processing, video image processing and application.

Prof. Haifeng Zhao, University of Chinese Academy of Sciences, Beijing, China & Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China

Speech Title: A Data-Driven Machine Learning Approach for Correlating Geological Data in Extraterrestrial Exploration (Abstract)

Dr. Haifeng Zhao serves as a Professor at the Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, and the School of Aeronautics and Astronautics, University of Chinese Academy of Sciences. He earned his Ph.D. in Engineering Mechanics from the University of Texas at Austin, USA. Following his doctoral studies, he spent over a decade at a globally renowned Fortune 500 industrial R&D institution, leading advancements in engineering equipment for aviation, aerospace, and energy exploration. Currently, his research is centered on addressing cutting-edge challenges in aerospace, aviation, and energy industries, with a particular focus on designing intelligent systems for extraterrestrial exploration robots and developing advanced artificial intelligence computational methods in solid mechanics.

Prof. Gang Xu, Southeast University, China

Speech Title: SVD-based Joint sparsity in SAR tomography for urban mapping (Abstract)

Gang Xu is currently Full Professor of southeast university, China. He received the Ph.D degree in electronic engineering from Xidian University in 2015. From 2015 to 2016, he was a full-time Postdoctoral Research Fellow with the School of Electrical and Electronic Engineering (EEE), Nanyang Technological University (NTU), Singapore. From 2016 to 2022, he was an associate professor with the State Key Laboratory of Millimeter Waves, Southeast University. His current research interests are synthetic aperture radar (SAR), SAR interferometry (InSAR), inversed synthetic aperture radar (ISAR), sparse signal processing and microwave remote sensing. He has authored or coauthored more than 50 scientific journal articles and more than 30 papers in conference proceedings. He has two invited journal papers published on IEEE Geoscience and Remote Sensing Magazine. He has two ESI highly cited paper and one ESI hot paper. He has achieved over 20 authorized Chinese patents. His research has been supported by various funding programs, such as, Natural Science Foundation of Jiangsu Province for Distinguished Young Scholars. He has guest edited several special issues in Remote Sensing and etc. He is Senior Member of IEEE now.

Prof. Dr. Froilan D. Mobo, Philippine Merchant Marine Academy, Philippine

Speech Title: Advancing AI-Driven Signal and Image Processing for Smart and Sustainable Systems (Abstract)

Prof. Dr. Froilan D. Mobo is a distinguished academic and researcher, widely recognized for his contributions to the fields of education, educational technology, and public administration. He is currently serving as a Full Professor II at the Philippine Merchant Marine Academy (PMMA), where he has had a remarkable career spanning over 14 years. Starting as an Instructor 1, Dr. Mobo's dedication and excellence in his field led to his swift promotion through the academic ranks, reaching the position of Associate Professor 2 in 2019, and eventually attaining Full Professor II status in 2024. Dr. Mobo's academic background is as diverse as his career. He holds a Doctorate in Public Administration from Urdaneta City University, a Ph.D. in Development Education from Central Luzon State University, and a Master of Arts in Social Studies Education from Bicol University. He is also pursuing an ongoing Master of Science in Computer Science from PRMSU and a Master of Business Administration from Bulacan State University. His educational journey also includes a Diploma in Social Studies Education from UP Open University, a Certificate for Professional Teaching from New Era University, and a BS in Information Technology from Network Computer and Business Colleges.
In addition to his academic roles, Dr. Mobo has earned international recognition for his research and scholarly contributions. He is the recipient of two prestigious international awards, one from the International Internship University and another from the Video Tijaswini Foundation. His Google Scholar profile showcases his influence in academic circles, with over 11 publications and 246 citations indexed in Scopus and ACI, highlighting his impact, particularly in educational technology.
Dr. Mobo’s research interests focus on the integration of technology in education, sustainability, and public administration. His most notable publication, “The Impact of Video Conferencing Platform in All Educational Sectors Amidst the Covid-19 Pandemic,” reflects his dedication to studying the evolving dynamics of education through technological advancements. He has also been active in sharing his knowledge through conferences and professional engagements, making him a sought-after speaker in various academic and professional forums.
A multifaceted academic, Dr. Mobo is also an alumnus of several esteemed universities, such as UP Open University, Bicol University, and PRMSU, where he continues to hone his expertise while contributing to the academic and professional community. He is known for his passion for teaching, his unwavering commitment to advancing educational practices, and his visionary approach to shaping the future of education through the use of innovative technologies. His achievements continue to inspire educators and researchers worldwide, cementing his reputation as a leader in his field.

Prof. Tao Qi, Beijing University of Posts and Telecommunications, China

Tao Qi received his B.S. and Ph.D. degrees in Computer Science at the Department of Electronic Engineering from Tsinghua University, China, in 2020 and 2024, respectively. He is currently a tenure-track Professor in the School of Computer Science, Beijing University of Posts and Telecommunications, China. His current research focuses on AI security, data privacy protection, LLM, and data mining. He has published 13 first-author papers in leading machine learning journals and conference proceedings, such as Nature Communications, NeurIPS, ACL, AAAI, IJCAI, SIGIR, EMNLP etc. He has won the Nomination Award of the 2022 Microsoft Research Asia Fellowship, ACM SIGWEB China Outstanding Ph.D. Thesis Award, Tsinghua Outstanding Ph.D. Thesis Award.

Prof. Qing Li, Anhui Agricultural University, China

Speech Title: Fractional quaternion Kalman filter for RUL prognosis of rotating machinery with life-cycle acceleration signals (Abstract)

Dr. Qing Li received the Ph.D degree from College of Mechanical Engineering, Donghua University in 2019. He is currently an Associate Professor in Department of Mechanical Engineering at Anhui Agricultural University, Hefei, China. He is now a visiting scholar with 1 year at Institute for Automatic Control and Complex Systems (AKS) at University of Duisburg-Essen, Duisburg, Germany. He was a Post-doctoral Research Fellow in the Department of Mechanical Engineering at University of Alberta, Edmonton, Canada, from 2019.06 to 2020.06. He was a visiting researcher at Georgia Institute of Technology, Atlanta, USA, from 2016.12 to 2018.07. He is now an Associate Professor for IEEE Sensors Journal (SCI) and Editorial Board Member for Measurement Science Review (SCI), and Editorial Board Member other international prestigious journals, and lead guest editor of special issue for 3 SCI journals. His technical interests focus on fault diagnosis and prognostics for industrial system, advanced signal processing, and more than 90 research articles and patents have been authored in these areas.

Prof. Yannick Benezeth, Université Bourgogne Europe, IMVIA Lab, France

Yannick Benezeth is a full professor of computer science at the Université de Bourgogne, France. He earned his Ph.D. in computer science from the University of Orléans in 2009, after completing both an engineering degree at ENSI de Bourges and a Master’s degree at the University of Versailles-Saint-Quentin-en-Yvelines in 2006. His research interests encompass biomedical engineering, image and signal analysis, and artificial intelligence. Since 2009, he has published 35 international journals and more than 55 international conferences.

Assoc. Prof. Wei Wang, National University of Defense Technology, China

Speech Title: SAR Target Image Generation Based on Deep Learning (Abstract)

Wei Wang received the M.S. degree in information and communication engineering from National University of Defense Technology, China, and the Ph.D. degree in geoinformatics from KTH Royal Institute of Technology, Sweden, in 2013, and 2018, respectively. He is currently an associate professor with Automatic Target Recognition (ATR) National Key Laboratory, National University of Defense Technology. His research interests include SAR/PolSAR image processing, automation target recognition, target characteristics and data engineering. He has published more than 60 journal and conference articles, and obtained two provincial-level scientific research awards. He was recognized as Young Talent of Hunan Province in 2023. He is an editorial board member of Aero Weaponry, and acts as a guest editor of Electronics. He is also a reviewer of high-level international journals, such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Intelligent Transportation Systems, and Pattern Recognition.

Assoc. Prof. Junling Wang, Beijing Institute of Technology, China

Speech Title: Symmetry Features in Space Target Radar Detection and Imaging (Abstract)

Wang Junling received the B.E. and M.S. degrees from China University of Petroleum, Qingdao, China, in 2005 and in 2008, respectively, and the Ph.D. degree from Beijing Institute of Technology (BIT), in 2013. He was an exchange student in Department of Signal Theory and Communications, Universitat Politecnica de Catalunya in 2010. Since 2013, he has been working with the School of Information and Electronics, BIT, Beijing, China, where he is currently an Associate Professor. His current research interests include radar signal processing, space target detection and imaging, space situational awareness, and related fields. He spearheaded the development of China's first bistatic ISAR imaging system for space targets and achieved the country's first successful acquisition of interferometric three-dimensional images of space objects. He has published over 70 SCI/EI-indexed papers as first author or corresponding author in prestigious international journals and conferences such as IEEE TAES、IEEE TGRS、IEEE SENS J、J GUID CONTROL DYNAM、IET RADAR SONAR NAV.、CHINA COM. Additionally, he holds over 20 authorized patents.

Assoc. Prof. Sinong Quan, National University of Defense Technology, China

Speech Title: Radar Target Polarimetric Decomposition and Anti-Interference Recognition (Abstract)

Sinong Quan is currently an Associate Professor with the College of Electronic Science and Technology, National University of Defense Technology. He has authored more than 60 papers in peer-reviewed journals, co-authored 3 books, and holds more than 10 patents, among many conference papers. Prof. Quan was awarded the National Postdoctoral Innovative Talent Support Program in 2022. He was a recipient of the first-class science and technology progress award of ministry of education in 2022, and the second-class nature science Award of Chinese institute of electronics in 2021. He was also the winner of the outstanding doctoral dissertation of the PLA in 2021 and the outstanding master dissertation of Hunan Province in 2018. Prof. Quan currently serves as a Reviewer for the ISPRS JPRS, IEEE TGRS, IEEE TCOM, IEEE JSTARS, IEEE GRSL and several other international journals in the remote sensing field. His research interests include imaging radar countermeasure and recognition, polarimetric radar information processing, target detection, pattern recognition, and machine learning.

Assoc. Prof. Yanlei Du, Aerospace Information Research Institute, Chinese Academy of Sciences, China

Speech Title: Polarimetric Radar Sea Clutter: Scattering Mechanism and Statistical Modeling (Abstract)

Dr. Yanlei Du is currently an Associate Professor with the National Key Laboratory of Microwave Imaging, Aerospace Information Research Institute, Chinese Academy of Sciences. He received the B.S. degree from Chang’an University and Ph.D. degree from Chinese Academy of Sciences, in 2014 and 2019, respectively. During his Ph.D. program (2017–2019), he was a Visiting Scholar with the Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA. From 2019 to 2021, he was a Postdoctoral Research Fellow with the Department of Electronic Engineering, Tsinghua University Beijing, China. His research interests include computational electromagnetics in applications of ocean remote sensing, radar polarimetry and satellite oceanography. He has authored or co-authored over 50 SCI/EI/CSCD indexed papers or book chapters, and is a lead author of a book in the area of polarimetric radar ocean remote sensing. Dr. Du served as the Technical Program Committee (TPC) member of several international conferences such as PIERS, IEEE IRC, etc. He was selected for the "Future Star" Talent Program of the Aerospace Information Research Institute, Chinese Academy of Sciences in 2023, and awarded the title of "Zhang Keqian Postdoctoral Fellow" by Tsinghua University in 2020. Dr. Du was a recipient of the Young Scientist Award from PhotonIcs and Electromagnetics Research Symposium (PIERS) in 2021.

Assoc. Prof. Deqing Mao, University of Electronic Science and Technology of China, China

Speech Title: Advances on real aperture radar superresolution imaging (Abstract)

Deqing Mao received the received the B.S. degree from the School of Electronic Engineering, Chengdu University of Information Technology, Chengdu, China, in 2010, and received the Ph.D. degree with the School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2022. From 2020 to 2021, he has been a Visiting researcher with the Technology University of Delft, the Netherlands. He has published more than 60 journal and conference papers in IEEE, and served as a guest editor for the journal Remote Sensing. He is currently an associate professor with UESTC. His research interests include radar signal processing, radar superresolution imaging.

Assoc. Prof. Xiaochen Yuan, Macao Polytechnic University, China

Speech Title: AI-Driven Protection for Content and Models (Abstract)

Xiaochen Yuan received the Ph.D. degree in Software Engineering from the University of Macau in 2013. From 2014 to 2015, she was a postdoctoral fellow at the Department of Computer and Information Science of the University of Macau. From 2016 to 2021, she was an Assistant Professor and an Associate Professor at the Faculty of Information Technology of the Macau University of Science and Technology. Since 2021, she joined the Faculty of Applied Sciences of the Macao Polytechnic University, where she is currently an Associate Professor. Her research interests include Multimedia Forensics and Security, AI Model Security, Quantum Watermarking, Remote Image Processing, and Deep Learning Techniques and Applications. She has published more than 80 SCIE-indexed scientific articles in refereed journals, such as IEEE TIFS, IEEE TII, IEEE TMI, IEEE TIM, IEEE TETC, IEEE JSTARS, etc. and she has been served as reviewers for top-tier journals and conferences in related areas, such as IEEE TIFS, IEEE TMM, IEEE TCSVT, IEEE TIM, IEEE TDSC, CVPR, ICME, etc. She also serves as the program committee member, session chair, and regional chair for ICSPS, ICSIP, ICSTE, etc. She is also a member of CCF, a member of CSIG, a member of IET, and a senior member of IEEE.

Assoc. Prof. Tianming Ma, Shanghai University of Engineering Science (SUES), China

Tianming (Tian-Ming) Ma received Ph.D. degree from Shanghai institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China in 2012. He was a post-doctoral researcher and obtained the first-class general financial grant from the China Postdoctoral Science Foundation in Tsinghua University, Beijing, China from 2012 to 2014. Now he is an associate professor in the School of Electronic & Electrical Engineering (SEEE), Shanghai University of Engineering Science (SUES), Shanghai, China and serve as the leader of the intelligent wireless perception research team in SEEE. He has authored/co-authored over 50 journal/conference papers and held 10 Chinese authorized invention patents as the first inventor or as a mentor for graduate students, of which 3 have already achieved technology transfer. He is a member of IEEE ComSoc & IEEE SPS, a senior member of CIC, a senior member & life member of CIE, a life member of SCS, and a council member of SHIE. He has served as an OC member/TPC member/Track Chair/Workshop Chair/Session Chair/Special Session Chair/Publicity Chair/Moderator/Invited Speaker of many international conferences and received Outstanding Organization Award. He has also served as an official reviewer for many domestic and international journals in the field of communications, such as IEEE TWC, IEEE TVT, IEEE CNCOMM, IEEE CL, IEEE SPL, CJE, JC, JEIT, JSEE, JCIN, JCUPT, JXD, etc. His current interests include 6G multiple access technologies & waveform technologies.

Assoc. Prof. Thangarajah Akilan, Lakehead University, Canada

Speech Title: The Emergence of Self-supervised Learning in Medical Image Semantic Segmentation (Abstract)

Dr. Akilan, T. (Ph.D., P.Eng., SMIEEE) received his Ph.D. in Electrical and Computer Engineering from the University of Windsor, Canada. He is an Associate Professor in the Department of Software Engineering at Lakehead University, Thunder Bay, ON, Canada. His research interests include image/video processing, information fusion, large-data analysis, object/action recognition, and semantic segmentation using artificial intelligence, machine learning, deep learning, and statistical techniques.
Currently, he serves as the director of the Engineering Co-op at Lakehead University, a reviewer for several journals, including IEEE Transactions on Multimedia, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Intelligent Transportation Systems, and IEEE Transactions on Industrial Informatics, and an associate editor for IEEE Transactions on Circuits and Systems for Video Technology.

Assoc. Prof. Tinghao Zhang, Xidian University, China

Speech Title: Study on imaging algorithm for highsquinted SAR with curved trajectory (Abstract)

Ting hao Zhang (Member, IEEE) was born in Xianyang, China, in 1996. He received the Ph.D. degree in signal processing with the National Laboratory of Radar Signal Processing. He is currently an Associate Professor with the School of Physics, Xidian University, Xi’an, China. His research interests include monostatic/bistatic SAR imaging and motion compensation.

Assoc. Prof. Wei Yang, National University of Defense Technology, China

Speech Title: Cognitive Radar Anti-Jamming Methodologies (Abstract)

Wei Yang was born in 1985. He received the B.E. degree from Wuhan University, Wuhan, China, in 2006, and the M.S. and Ph.D. degrees from the National University of Defense Technology, in 2008 and 2012, respectively. Currently, he is an Associate Professor with the National University of Defense Technology. His main research interests include cognitive radar target detection and recognition, cognitive radar waveform design, and radar target tracking. He has published several articles in respected journals, including IEEE Transactions on Image Processing, IEEE Transactions on Aerospace and Electronic Systems, IET Signal Processing, and Information Fusion.

Assoc. Prof. Wenpeng Zhang, National University of Defense Technology, China

Speech Title: Nonlinear Representation, Estimation and Intelligent Recognition for Radar Targets with Micro-Motion (Abstract)

Wenpeng Zhang received the B.S., M.S., and Ph.D. degrees from the National University of Defense Technology, Changsha, China, in 2012, 2014, and 2018, respectively. He is currently an Associate Professor with the College of Electronic Science, National University of Defense Technology. His research interests include nonlinear radar signal processing, feature extraction and intelligent recognition. He has published several articles in respected journals, including IEEE Transactions on Signal Processing, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Aerospace and Electronic Systems.

Dr. Qinwei He, Global Energy Interconnection Research Institute Europe GmbH, Germany

Qinwei He (Senior Member, IEEE) received his Ph.D. degree in Electrical Engineering from the RWTH Aachen University, Aachen, Germany, in 2019. He is currently a Senior Research Engineer with the Global Energy Interconnection Research Institute Europe GmbH. His research interests include smart grid information and communication, industrial Internet of Things, and smart sensing systems. He is also the supervisor for one Europe Horizon project. He served as a director in the Power Information Communication Intelligent Perception Subcommittee of IEEE PES Power System Communications and Cybersecurity Satellite Committee-China since 2020. Dr. He has published over 20 Journal/Conference papers and held 7 authorized patents. He served as a TPC member, session chair for many conferences, and the Organizer and Chair for two workshops in the 2022 IEEE International Conference on Smart Data and the 2023 IEEE International Conference on Internet of Things. He served as the Industry Panel Chair of IEEE Cybermatics Congress 2024 and received the IEEE Outstanding Leadership Award.

Dr. Hongbin Liu, Shandong Jianzhu University, China

Speech Title: Object detection and long-term tracking in multi-camera surveillance (Abstract)

Hongbin Liu received Ph.D. degree in Control Science and Engineering from Shandong University, China, in 2019. Now he is a lecturer at the School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, China. He is a member of the China Society of Image and Graphics, the Chinese Association of Automation, a core member of the Shandong Electronic Society and the Shandong Key Laboratory of Smart Buildings and Energy Efficiency. His current interests include multiple targets detection, tracking and behavior analysis technologies in Intelligent video surveillance scenario. He has authored/co-authored over 20 journal/conference papers. He has also served as a reviewer for many international journals/conferences in the field of image processing and pattern recognition, such as IEEE TMM, Signal Processing, SIVP, ICSIP, CCDC, etc. He won the second prize of the 2023 China Automation Association Science and Technology Progress Award.

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

Speech Title: Context-driven automatic vehicle detection and classification in synthetic aperture radar and electro-optical/infrared imagery based on cross-modality multiview feature fusion (Abstract)

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 40 papers in journals and international conference proceedings and is the 2nd author of Radar Networks (CRC press, 2020).

Dr. Zhuang Xie, National University of Defense Technology, China

Speech Title: Robust Radar Sensing Waveform Design Under Target Interpulse Fluctuation (Abstract)

Zhuang Xie  received the B.S. degree in Electronic Information Engineering from the Harbin Institute of Technology, Harbin, China, in 2018, and the M.S. and Ph.D. degrees in Information and Communication Engineering from the National University of Defense Technology, Changsha, China, in 2020 and 2024, respectively. He is currently a Lecturer with the College of Electronic Science and Technology, National University of Defense Technology.  His research interests include radar signal processing and optimization theory, with emphasis on radar waveform design.

Dr. Shen Liang, Test Center of National University of Defense Technology, China

Speech Title: Research on SAR Scene Matching Methods for Robust Guidance under Jamming Conditions (Abstract)

Dr. Shen Liang serves as an associate research fellow at National University of Defense Technology. He has published 5 first-author papers in top-tier journals, including ISPRS Journal of Photogrammetry and Remote Sensing and IEEE Transactions on Geoscience and Remote Sensing. He has presided a project of National Natural Science Foundation and participated in 2 major national research initiatives. Additionally, he serves as a reviewer for prestigious journals such as ISPRS and Information Science.

Prof. Ying Wei, Shandong University, China

Speech Title: Advances and Challenges in Audio-Visual Speech Separation (Abstract)

Ying Wei received her Bachelor's and Master's degrees from Xi'an Jiaotong University in 2000 and 2003 respectively, and received her Ph.D. from the National University of Singapore in 2008. She currently serves as a full professor at Shandong University. She is also the director of Shandong International Cooperation Base for Intelligent Perception and Information Processing‌. She has published over 50 SCI/EI-indexed papers in prestigious international journals such as TSP, TBME, TCAS1, TBCAS, J-STSP, etc. She serves as associate editor for IEEE TBCAS. Her current research focuses on audio-visual acoustic signal processing.

Dr. Zemin Zhou, National University of Defense Technology, China

Speech Title: Underwater Acoustic Signal Denoising with Diffusion-based Generative Models (Abstract)

Zemin Zhou was born in Yongzhou, China, in 1986. He received his B.S. degree in electronics engineering from Harbin Engineering University, Harbin, in 2007, and the M.S. degree in underwater acoustic engineering and Ph.D. degrees in acoustics from National University of Defense Technology, Changsha, in 2009 and 2014, respectively. He is an Associate research fellow with the College of Meteorology and Oceanology, National University of Defense Technology, Changsha, China. His research interests include active and passive sonar detection, localization and tracking, sonar simulation, and adaptive control technology.

Dr. Jian Wu, National University of Defense Technology, China

Speech Title: Blind Adaptive Beamforming for a Global Navigation Satellite System Array Receiver (Abstract)

Jian Wu received the B.S. degree in Information Engineering, M.E. degree in Photogrammetry and Remote Sensing, and Ph.D degree in Information and Communication Engineering from the National University of Defense Technology (NUDT), Changsha, China, in 2012, 2014 and 2019, respectively. He is currently an Associate Professor with the College of Electronic Science and Technology, NUDT. His current research interests include GNSS signal processing, interference suppression technology, and high precision GNSS signal generation. He received the Best Paper Award in the 11th China Satellite Navigation Conference, CSNC 2020. He served as ​​Session Chair​​ for ​​the 6th 2023 International Conference on Information Communication and Signal Processing (ICICSP 2023)​​ and for ​​the 8th 2023 International Conference on Signal and Image Processing (ICSIP 2023)​​.

Prof. Chunyi Song, Zhejiang University, China

Assoc. Prof. Xiaolong Li, University of Electronic Science and Technology of China, China

Assoc. Prof. Gang Xiong, Shanghai Jiao Tong University, China