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), Zhejiang University, China

 

Dr. Honggang ZHANG received the Ph.D. degree in Electrical Engineering from Kagoshima University, Japan, in March 1999. Prior to that, he received the Bachelor of Engineering and Master of Engineering degrees, both in Electrical Engineering, from Huazhong University of Science & Technology (HUST), China, in 1989, and Lanzhou University of Technology, China, in 1992, respectively. From October 1999 to March 2002, he was with the Shin-Kawasaki Research Center, Telecommunications Advancement Organization (TAO) of Japan, as a TAO Research Fellow. From April 2002 to November 2002, he joined the TOYOTA IT Center, where he performed research and development on software-defined radio (SDR) with applications to Intelligent Transport Systems (ITS). From December 2002 to August 2004, he has been with the UWB (Ultra-Wideband) Research Consortium, Communications Research Laboratory (CRL) and National Institute of Information and Communications Technology (NICT) of Japan, where his R&D responsibilities were focused on UWB wireless communications, IEEE 802.15.3a & 4a WPAN standardizations, Wireless 1394 and “1394-over-UWB” smart home networks. He was the founding member of UWB Forum and the principle author and contributor for proposing DS-UWB in IEEE 802.15 WPAN standardization task group, for which he initiated the “Soft-Spectrum Adaptation (SSA)” technique and contributed to its worldwide developments. From September 2004 to February 2008, he has been with CREATE-NET (https://create-net.fbk.eu/), where he leaded its wireless teams in exploring Cognitive Radio (CR) and its integration with Ultra-Wideband (UWB) technologies for dynamic open-spectrum wireless communications and networks evolution (i.e. UWB-CR: Ultra-Wideband Cognitive Radio) while participated a number of European FP6/FP7 projects (EUWB, PULSERS 2).
Dr. Honggang ZHANG received the Ph.D. degree in Electrical Engineering from Kagoshima University, Japan, in March 1999. Prior to that, he received the Bachelor of Engineering and Master of Engineering degrees, both in Electrical Engineering, from Huazhong University of Science & Technology (HUST), China, in 1989, and Lanzhou University of Technology, China, in 1992, respectively. From October 1999 to March 2002, he was with the Shin-Kawasaki Research Center, Telecommunications Advancement Organization (TAO) of Japan, as a TAO Research Fellow. From April 2002 to November 2002, he joined the TOYOTA IT Center, where he performed research and development on software-defined radio (SDR) with applications to Intelligent Transport Systems (ITS). From December 2002 to August 2004, he has been with the UWB (Ultra-Wideband) Research Consortium, Communications Research Laboratory (CRL) and National Institute of Information and Communications Technology (NICT) of Japan, where his R&D responsibilities were focused on UWB wireless communications, IEEE 802.15.3a & 4a WPAN standardizations, Wireless 1394 and “1394-over-UWB” smart home networks. He was the founding member of UWB Forum and the principle author and contributor for proposing DS-UWB in IEEE 802.15 WPAN standardization task group, for which he initiated the “Soft-Spectrum Adaptation (SSA)” technique and contributed to its worldwide developments. From September 2004 to February 2008, he has been with CREATE-NET (https://create-net.fbk.eu/), where he leaded its wireless teams in exploring Cognitive Radio (CR) and its integration with Ultra-Wideband (UWB) technologies for dynamic open-spectrum wireless communications and networks evolution (i.e. UWB-CR: Ultra-Wideband Cognitive Radio) while participated a number of European FP6/FP7 projects (EUWB, PULSERS 2).

 

 

 

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