KEYNOTE SPEAKERs
Researcher Zhen Lei
University of Chinese Academy of Sciences, China (IEEE Fellow, IAPR Fellow）
Prof. Zhen Lei is a Professor at the AIR Center of the Hong Kong Institute of Chinese Academy of Sciences (CAS), Doctoral Supervisor, Researcher at the Institute of Automation of CAS, Faculty Professor at the University of Chinese Academy of Sciences, and Visiting Professor at The Hong Kong Polytechnic University. As an IEEE Fellow and IAPR Fellow, he has been recognized as a Highly Cited Chinese Researcher (2020-2024) and ranked among the World’s Top 2% Most Influential Scientists, with over 35,000 citations (H-index: 88) on Google Scholar. His research focuses on biometric recognition, image/video analysis and understanding, and fundamental AI theories. He was honored with the 2019 IAPR International Biometrics Young Investigator Award (a biennial award granted to one global scholar under 40), the 2019 National Science and Technology Progress Award (Second Prize), the 2021 China Electronics Society Technology Invention Award (First Prize), and the 2022 China Society of Image and Graphics Natural Science Award (Second Prize). His achievements include 200+ publications in top-tier journals/conferences, 30+ authorized invention patents, and contributions to 2 national standards and 7 industry standards.
Shiliang Sun received the B.E. degree in Automation from Beijing University of Aeronautics and Astronautics, Beijing, China, in 2002 and the Ph.D. degree in Pattern Recognition and Intelligent Systems from Tsinghua University, Beijing, China, in 2007.
He is a Professor with the Department of Automation and the Head of the Pattern Recognition and Machine Learning Research Group, Shanghai Jiao Tong University, Shanghai, China. In 2004, he was entitled Microsoft Fellow. From 2009 to 2010, he was a Visiting Researcher with the Department of Computer Science, Centre for Computational Statistics and Machine Learning, University College London, London, U.K. In 2014, he was a Visiting Researcher with the Department of Electrical Engineering, Columbia University, New York, NY, USA. From 2011 to 2023, he was a Full Professor at East China Normal University where he founded the Pattern Recognition and Machine Learning Research Group in 2007. His research results have expounded in 200+ publications at peer-reviewed journals and conferences, such as JMLR, IEEE TPAMI, IEEE TNNLS, ICML and NeurIPS, and multiple academic monographs and textbooks, such as Multiview Machine Learning, and Pattern Recognition and Machine Learning.
Prof. Shiliang Sun
Shanghai Jiao Tong University, China
Prof. Arif Mahmood
Information Technology University, Pakistan
Dr. Arif Mahmood is Dean Faculty of Sciences and a Professor in Computer Science Department, founding Director of Center for Artificial Intelligence and Robot Vision (CAI&RV) at Information Technology University, Lahore, Pakistan. Before joining ITU, he served as a Research Assistant Professor at the Department of Computer Science and Software Engineering, and later at the Department of Mathematics and Statistics in University of the Western Australia. He also worked as a Postdoctoral Researcher at the College of Engineering in Qatar University. He was as “Computer Vision Consultant” with King Abdulaziz University, Jeddah, Saudi Arabia and Huazhong University of Science and Technology, China in 2021. In 2015 he successfully authored Linkage Project grant from Australian Research Council (ARC): “Machine Learning for Fracture Risk Assessment from Simple Radiography” with industry partners. He was `Outstanding Reviewer’ in CVPR 2023.
He has teaching and research experience at several national and international universities. He has also conducted a three-day seminar course in 2021 on Computer Vision research in Guangdong University of Petrochemical Technology, China. He was Program Committee member in FIT 2017 and in International Workshop on “Robust Subspace Learning and Applications in Computer Vision” in conjunction with ICCV 2017, ICCV 2019, and ICCV2021. His major research interests include Robot Vision, Data Science, and Machine Learning. He has been publishing extensively in prestigious journals including IEEE TPAMI, IJCV, MEDIA, IEEE TIP, IEEE TCSVT, IEEE TCC, IEEE TSC, Information Fusion, and IEEE TKDE. He has presented his work at over 17 conferences worldwide including very prestigious conference such as CVPR, ECCV, ACCV, BMVC, and WACV.