Honggui Han, an expert in intelligent optimization and control, was born in Taizhou, Jiangsu Province in 1983. He is a Professor and Ph.D. Supervisor at Beijing University of Technology. He serves as Chief Scientist of the National Key R&D Program of China, recipient of the National Science Fund for Distinguished Young Scholars, recipient of the National Science Fund for Excellent Young Scholars, Young Scientist of the Chinese Association of Automation (CAA), Young Beijing Scholar, and Beijing Outstanding Young Scientist, among other honors. He is currently Director of the Engineering Research Center of Digital Community (Ministry of Education) and Director of the Beijing Key Laboratory of Computational Intelligence and Intelligent Systems. He also serves as Secretary-General of the CAA Environmental Automation Committee, Member of the CAA Process Control Committee, Member of the CAA Control Theory Committee, Council Member of the Beijing Association for Artificial Intelligence, and Council Member of the Beijing Association of Automation. His primary research focuses on theoretical methods and key technologies for intelligent optimization and operational control of complex systems, with emphasis on intelligent feature detection, intelligent self-organizing control, and whole-process collaborative optimization. He has published over 100 academic papers in top journals including IEEE Transactions and IFAC journals, authored 5 academic monographs, and holds over 60 authorized Chinese/U.S. invention patents and more than 50 software copyrights.

Wei Shen is a Professor and Ph.D. Supervisor at the Institute of Artificial Intelligence, Shanghai Jiao Tong University, and a recipient of the National Science Fund for Excellent Young Scholars. He previously served as Assistant Research Professor in the Department of Computer Science at Johns Hopkins University. His research interests include computer vision, deep learning, and medical image processing. He has published over 80 papers in top academic conferences and journals in artificial intelligence, accumulating over 10,000 total citations, and authored the AI textbookHands‑On Computer Vision. A doctoral thesis under his supervision won the Young Scientist Award at MICCAI 2023, a premier international conference on medical image processing. He serves as Area Chair for leading AI conferences including ICML 2025, NeurIPS 2023/2024/2025, ICCV 2025, and CVPR 2022/2023/2026, Associate Editor for the SCI Tier‑1 journalPattern Recognition, and Vice Director of the Computer Vision Committee of the Shanghai Computer Society.

Fan Liu is a Professor and Ph.D. Supervisor whose main research interests cover computer vision, machine learning, and pattern recognition, alongside extensive interdisciplinary research in artificial intelligence. He currently serves as Vice Dean of the School of Computer and Software and Deputy Director of the Key Laboratory of Water Big Data Technology under the Ministry of Water Resources. His academic appointments include Executive Director of the Jiangsu Computer Society, Executive Director of the Jiangsu Association for Artificial Intelligence, and Associate Editor for several SCI journals includingPattern Recognition. He has been named to the World's Top 2% Scientists List (2025 Edition) and selected for talent programs such as the Jiangsu Excellent Young Scholars Fund and the "Qinglan Project" Outstanding Young Backbone Teachers of Jiangsu Province. In recent years, he has led over 20 research projects, including grants from the National Natural Science Foundation of China and the Jiangsu Outstanding Young Scholars Fund, and participated in several National Key R&D Programs. He has published over 100 academic papers, including 7 ESI Highly Cited Papers, with a single paper cited over 7,700 times. His honors include the Best Demo Award at IEEE ICME 2021, Second Prize of the Jiangsu Higher Education Scientific Research Achievement Award, and Second Prize of the Jiangsu Teaching Achievement Award. As first inventor, he holds 25 authorized patents and over 10 software copyrights, and has published 4 textbooks and monographs.

Rykhard Bohush is a Professor and Head of the Department of Computer Systems and Networks at Polotsk State University, Belarus, holding a Doctor of Technical Sciences degree. He graduated from Polotsk State University in 1997, earned his Candidate of Sciences (Ph.D.) degree in Information Processing from the Institute of Engineering Cybernetics of the National Academy of Sciences of Belarus in 2002, and received his Doctor of Sciences (D.Sc.) degree in Engineering in 2022. His main research areas include computer vision, image and video processing, machine learning, intelligent systems, object detection and recognition, and smart video surveillance. His recent research focuses on deep learning‑based object detection, person re‑identification and video tracking, high‑resolution image analysis, smart parking, and video smoke detection, with over 200 academic papers published.