SPML 2026

Invited Speakers

 

Prof. Sergey Vishnyakov

National research univercity "Moscow power engineering institute", Russia

 

Sergey Vishnyakov is a director of the Information Technologies and Computer Science Institute and a department head of Computers, systems and networks department in MPEI. Sergey Vishnyakov received the Ph.D. degree in theoretical electrical engineering in 2005. The research area is an implementation of multidimensional digital signal processing in finite elements analysis, the application of the methods of the electrical engineering and electrodynamics to a digital signal processing. The current research interest is a multidimensional digital signal processing and convolutional neural networks on irregular meshes.

 

Prof. Guobao Xiao

Tongji University, China

 

Guobao Xiao is a Professor and Ph.D. Supervisor with the College of Computer Science and Technology, Tongji University, China. His research interests include computer vision, robotics, large models, and their applications in robust visual perception and intelligent systems.
He has published more than 70 papers as the first or corresponding author in leading journals and conferences, including IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, IEEE Transactions on Image Processing, ICCV, AAAI, and ACM Multimedia. He has also authored an academic monograph published by Science Press. According to Google Scholar, his publications have received more than 3,500 citations, with an H-index of 30, and include three ESI Highly Cited/Hot Papers.
Prof. Xiao has led two General Program projects and one Young Scientists Fund project supported by the National Natural Science Foundation of China. He has been granted 12 Chinese invention patents, 11 of which have been commercialized or transferred. He was selected for the Stanford University World’s Top 2% Scientists List in 2025. His honors include the CSIG Excellent Doctoral Dissertation Award, the Fujian May Fourth Youth Medal, and the title of Fujian High-Level Talent. He is an IEEE Senior Member and a Senior Member of the CSIG. He currently serves as an Associate Editor for IEEE Transactions on Image Processing and Pattern Recognition.

 

Prof. Seokwon Yeom

Daegu University, Korea

 

Seokwon Yeom has been a faculty member of Daegu University since 2007. He has a Ph.D. in Electrical and Computer Engineering from the University of Connecticut in 2006. He has been a special issue editor of Applied Sciences and Drones at MDPI since 2019. He has served as a board member of the Korean Institute of Intelligent Systems since 2016, and a member of the board of directors of the Korean Institute of Convergence Signal Processing since 2014. He was a vice director of the AI homecare center and a head of the department of IT convergence engineering at Daegu University in 2020-2023, a visiting scholar at the University of Maryland in 2014, and a director of the Gyeongbuk techno-park specialization center in 2013. He has served as a keynote speaker or invited speaker at various international conferences, including AAIP, ADIP, ASIP, CCEAI, ICCCS, ICCCV, IPMV, and IVPAI. He has also served as a program chair at several academic conferences. His research fields are intelligent image processing, machine learning, target tracking, and drone localization.

 

Assoc. Prof. Bin Zhang
Kanagawa University, Japan

 

Bin Zhang received the B.Sc. degree in Automation from Harbin Engineering University, China, and the M.Sc. and Ph.D. degrees in Intelligent Mechanical Engineering from The University of Electro-Communications, Japan. He is currently an Associate Professor with the Department of Mechanical Engineering, Kanagawa University, Japan. His research interests include intelligent robotics, human-robot interaction, intelligent information processing, autonomous vehicles and artificial intelligence. He has published more than 120 papers on international journals and conferences in recent years including IEEJ, IEICE etc. He was awarded the best paper awards for ICSR2016, ICDSP2022, EAI 6GN2023 etc.

 

Assoc. Prof. Kazuya Ueki
Meisei University, Japan

 

He received his B.S. degree in Information Engineering in 1997 and his M.S. degree in Computer and Mathematical Sciences in 1999, both from Tohoku University, Sendai, Japan. In 1999, he joined NEC Soft, Ltd., Tokyo, Japan, where he was mainly engaged in research on face recognition. He received his Ph.D. degree from the Graduate School of Science and Engineering, Waseda University, Tokyo, Japan, in 2007. From 2013 to 2017, he served as an Assistant Professor at Waseda University. He is currently an Associate Professor in the School of Information Science, Meisei University. His research interests include information retrieval, video anomaly detection, pattern recognition, and machine learning. He is involved in the video retrieval evaluation benchmark (TRECVID) sponsored by the National Institute of Standards and Technology (NIST), contributing to the development of video retrieval technology. His submitted systems achieved the highest performance in the TRECVID AVS task in 2016, 2017, 2022, and 2025.

Assoc. Prof. Afizan Azman
Taylor’s University, Malaysia

 

Afizan Bin Azman received a Ph.D. degree from Loughborough University, U.K. He is an Associate Professor at the Department of Computer Science and Engineering at Taylor’s University, Subang Jaya, Selangor, Malaysia, and the Director of the Impact Laboratory, Digital Innovation and Smart Society. His research primarily focuses on image processing, machine learning, and data analytics, with a strong emphasis on advancing academic research and practical applications in digital innovation and developing a smart society.