Prof. Xin Zhao received his Ph.D. from the University of Science and Technology of China and is now a Professor at the University of Science and Technology Beijing. He is an expert in computer vision and performance evaluation, with contributions in video analysis, object tracking, and benchmark construction. Prof. Zhao has led the development of several internationally adopted computer vision benchmarks and online evaluation platforms, which provide standardized and reproducible evaluation resources for video understanding. He serves as Associate Editor of Pattern Recognition and Lead Guest Editor of International Journal of Computer Vision, and is actively involved as a reviewer and program committee member for leading AI and vision conferences and journals. Prof. Zhao has rich experience in academic organization, having led tutorials at top-tier conferences, and organized major workshops at ICCV 2025 and CVPR 2024 and 2026.

Yaxin Bi is a Professor in the School of Computing at Ulster University and a core member of the Artificial Intelligence Research Centre within the School. Yaxin’s research interests are in the fields of machine learning and ensemble learning in conjunction with the Dempster-Shafer theory of evidence. He has pioneered ensemble approaches for combining multiple classifiers using Dempster’s rule of combination, as well as measuring the diversity impact of evidential classifiers with varying metrics. His research extends to the development of data analytics and decision-making methods under uncertainty to tackle real-world challenges in a wide range of applications. These include anomaly/change detection in satellite data and manufacturing process, generative simulation and digital twin, sentiment analysis, and sensor fusion for activity/event recognition. Yaxin has over 200 peer-reviewed publications across international journals, edited books, book chapters and conference proceedings. Yaxin held key roles for various international conferences and workshops as a general co-chair and program co-chair. He also served as associate editors for the International Journal of Artificial Intelligence Review and for the International Journal of Intelligent Systems.

Prof Boongoen received his PhD from Cranfield University in 2003 and he currently is a Chair in Computer Science and Director of Research, Department of Computer Science, Aberystwyth University, UK. Before joining Aberystwyth University in July 2022, he worked for Mae Fah Luang University (MFU, Thailand) between 2017-2022, as Associate Professor in the School of Information Technology, and the Director of MFU Research and Innovation Institute. Between 2011-2017, he was initially Assistant and later Associate Professor at Royal Thai Air Force Academy. His research areas include AI, machine learning, uncertainty and fuzzy system, data science and engineering. He also serves as a senior editor for Knowledge Based Systems, and editors of other international journals like Frontiers in Neurorobotics, PeerJ Computer Science, ICT Express, and Human-Intelligent Systems Integration. Besides, Prof Boongoen is a member of the Research Grant committee (Engineering and Physical Sciences), Royal Society.

Guo Baoqing, professor and doctoral supervisor at Beijing Jiaotong University. He is a recipient of the Baosteel Education Award (Outstanding Teacher) and has been honored as a Beijing Municipal Distinguished Young Teaching Master. He serves as the Chief Professor of the National Key Laboratory of Advanced Rail Transit Autonomous Operation and the Chief Scientist of a National Key R&D Program of China. He is also a committee member of the Intelligent Operation and Maintenance Division of the China Mechanical Engineering Society. His research focuses on monitoring, detection, and intelligent perception for rail transit operational environments. He has led over national key R&D projects and National Natural Science Foundation projects, published more than 50 SCI/EI indexed papers, and received 1 Second Prize for Beijing Science & Technology Progress Award and 2 First Prize of Science & Technology Award of China Railway Society.

Prof. Bin Chen is a graduate of the University of CAS (Ph. D,2005), Sichuan (MA. 2001), Tsinghua (BA, 1992). He is now a doctoral researcher at the Harbin Institute of Technology, Shenzhen. His research interests include computer vision, deep learning and MLLM. He has been a doctoral supervisor in University of Chinese Academy of Sciences since 2006,. In 2010, he was honored as an Outstanding Expert with Prominent Contributions in Sichuan Province. He has received four Science and Technology Progress Awards at the ministerial level (second class) and holds 20 authorized invention patents. In 2025, he published high-quality papers at top international conferences including AAAI, CVPR, and ACMMM.

Dr. Chieng is currently an Associate Professor in the Department of Electrical and Electronic Engineering, Faculty of Science and Engineering (FoSE), University of Nottingham Ningbo China. He has actively participated in a range of international and national funded R&D projects in IoT, 4G/5G, wireless mesh, QoS, location-based, and intelligent systems, as well as Wireless Mesh Network for triple-play services. He received his MSc (electronics) in 1998 and PhD (computer networks) in 2002 from the School of Electronics, Electrical Engineering and Computer Science at Queen's University of Belfast, Northern Ireland, UK. He has filed 33 patents (22 granted) in Malaysia and internationally, and published over 90 papers in journals, conferences, and book chapters. Additionally, he serves as a guest editor for IEEE Commag, IEEE Network, IET Network, and the Journal of Ambient Intelligence and Humanized Computing.