SPML 2026

Keynote Speakers

 

Prof. Xudong Jiang (IEEE Fellow), Nanyang Technological University, Singapore

 

Xudong Jiang received the B.Eng. and M.Eng. from the University of Electronic Science and Technology of China (UESTC), and the Ph.D. degree from Helmut Schmidt University, Hamburg, Germany. From 1986 to 1993, he was a Lecturer with UESTC, where he received two Science and Technology Awards from the Ministry for Electronic Industry of China. From 1998 to 2004, he was with the Institute for Infocomm Research, A-Star, Singapore, as a Lead Scientist and the Head of the Biometrics Laboratory, where he developed a system that achieved the most efficiency and the second most accuracy at the International Fingerprint Verification Competition in 2000. He joined Nanyang Technological University (NTU), Singapore, as a Faculty Member, in 2004, and served as the Director of the Centre for Information Security from 2005 to 2011. Currently, he is a professor in NTU. Dr Jiang holds 7 patents and has authored over 200 papers with 2 papers in Nature Communications, 20 papers in Pattern Recognition and over 40+ papers in the IEEE journals, including 6 papers in IEEE Transactions on Pattern Analysis and Machine Intelligence and 14 papers in IEEE Transactions on Image Processing. Four of his papers have been listed as the top 1% highly cited papers in the academic field of Engineering by Essential Science Indicators. He served as IFS TC Member of the IEEE Signal Processing Society from 2015 to 2017, Associate Editor for IEEE Signal Processing Letter from 2014 to 2018, Associate Editor for IEEE Transactions on Image Processing from 2016 to 2020 and the founding editorial board member for IET Biometrics form 2012 to 2019. Dr Jiang is currently an IEEE Fellow and serves as Senior Area Editor for IEEE Transactions on Image Processing and Editor-in-Chief for IET Biometrics. His current research interests include image processing, pattern recognition, computer vision, machine learning, and biometrics.

 

 

Prof. Dan Zeng , Shanghai University, China

 

Zeng Dan, female, was born in 1982 in Hunan Province, China. She is currently a Professor at Shanghai University, serving as the Head of the Department of Communication Engineering. She is also a recipient of the National Leading Talent Program and a Distinguished Professor under the Ministry of Education’s Changjiang Scholars Program.

Her research interests lie in computer vision, multimedia content analysis, and pattern recognition, with a recent focus on intelligent perception of visual targets in complex scenarios. Her work aims to address key technical challenges in real-time perception of low-quality targets, exploring novel methods for detection, recognition, and localization. She has led and participated in major national and provincial projects totaling over 80 million RMB. She was recognized as a Shanghai Education System Model Worker in 2022, and received multiple national awards including First Prize of the 2023 Shanghai Science and Technology Progress Award (1st contributor), First Prize of the 2023 Teaching Achievement Award from the Chinese Association for Artificial Intelligence (1st contributor), First Prize of the 2023 China Industry-University-Research Cooperation Innovation Achievement Award (1st contributor), and First Prize of the 2022 Technical Progress Award from the China Society of Image and Graphics (2nd contributor). She has led major technology breakthroughs in fine-grained perception of large-scale, weak, and time-varying targets under complex industrial conditions. These efforts resulted in the development and deployment of critical subsystems supporting real-time large-object measurement, high-accuracy equipment calibration, precision manufacturing, and dynamic monitoring of industrial environments. Her technologies have been widely applied in domains such as metallurgy and aerospace, significantly advancing intelligent manufacturing processes. Specific industrial applications include high-precision 3D mapping of blast furnaces, intelligent slab finishing, defect detection, and integrated factory monitoring.
Prof. Zeng is also deeply committed to education. She is the chief editor of a textbook on fundamental courses in her field and has received the Second Prize in the National Young Faculty Teaching Competition for Electronic Information Majors. She has actively promoted the integration of industry and education, leading collaborative education projects supported by the Ministry of Education. Her teaching achievements have earned her the First Prize in the National Teaching Achievement Awards of the Chinese Association for Artificial Intelligence. For her outstanding contributions to education, she has received multiple commendations from the Shanghai Municipal Education Commission. Her work in research, teaching, and public service has been featured in major media outlets such as Wenhui Daily, Shanghai Science and Technology News, and The Paper (Shangguan News).

 

 

Prof. Honggang ZHANG (IEEE Fellow, AAIA Fellow), Macau University of Science and Technology, China

 

Honggang Zhang (IEEE Fellow, AAIA Fellow) is a Professor with the School of Computer Science and Engineering, Macau University of Science and Technology (MUST), Macau, China. Previously, he was a Professor with the Faculty of Data Science, City University of Macau, Macau, China. He was the founding Chief Managing Editor of Intelligent Computing, a Science Partner Journal (SPJ), as well as a Professor with the College of Information Science and Electronic Engineering, Zhejiang University, China. He was an Honorary Visiting Professor with the University of York, U.K., and an International Chair Professor of Excellence with the Université Européenne de Bretagne (UEB) and Supélec, France. He has coauthored and edited two books: Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy & Economics, Implementation (Wiley) and Green Communications: Theoretical Fundamentals, Algorithms and Applications (CRC Press). His research interests include cognitive radio and networks, machine learning, artificial intelligence, semantic communications, green communications, intelligent computing, and Internet of Intelligence (IoI). He is a co-recipient of the 2021 IEEE Communications Society Outstanding Paper Award and the 2021 IEEE Internet of Things Journal Best Paper Award. He was the leading Guest Editor for the Special Issues on Green Communications of the IEEE Communications Magazine. He served as a Series Editor for the IEEE Communications Magazine (Green Communications and Computing Networks Series) from 2015 to 2018 and the Chair of the Technical Committee on Cognitive Networks of the IEEE Communications Society from 2011 to 2012. He is the Associate Editor-in-Chief of China Communications.
 

 

 

 

Previous Keynote Speakers
Prof. Jie Lu AO (IEEE Fellow, IFSA Fellow, Australian Laureate Fellow) University of Technology Sydney, Australia	Prof. Haijun Zhang, University of Science and Technology Beijing, China (IEEE Fellow)	Prof. Haipeng Yao, Beijing University of Posts and Telecommunications, China (IET Fellow)	Prof. Tomoaki Otsuki, Keio University, Japan