Invited Speakers of ICSIP 2025

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. 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.

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

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, Digital Watermarking, AI Model Security, Quantum Watermarking, Remote Image Processing, and Deep Learning Techniques and Applications. She has published more than 70 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 in related areas, as well 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, 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.

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

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

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. degree in Information and Communication Engineering from the National University of Defense Technology, Changsha, China, in 2020, where he is currently pursuing the Ph.D. degree. His research interests include radar signal processing and optimization theory, with emphasis on radar waveform design. He received the Best Presentation Award in The IEEE International Conference on Signal and Image Processing (ICSIP), the outstanding M.S. degree thesis of the National University of Defense Technology and the Hunan Province. He serves in Program Committee for various international conferences such as IEEE ICSIP, ICSPS, and also as an invited speaker of the first National Defense Technology Highland Forum (2023), Changsha, China.

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.