Speakers of CVPRAI 2025

Prof. Linlin Shen
Shenzhen University, China

Bio: Professor Linlin Shen received Ph.D. degree from the University of Nottingham, Nottingham, UK. Prof. Shen is currently the “Pengcheng Scholar” Distinguished Professor at School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China. He is also an Honorary professor at School of Computer Science, University of Nottingham, UK and Visiting Professor at School of Computer Science, University of Nottingham, Ningbo, China. He serves as the director of Computer Vision Institute, AI Research Center for Medical Image Analysis and Diagnosis and China-UK joint research lab for visual information processing. He also serves as the Co-Editor-in-Chief of the IET journal of Cognitive Computation and Systems. He is listed as the “Most Cited Chinese Researchers” by Elsevier, and listed in a ranking of the “Top 2% Scientists in the World” by Stanford University. He received the Most Cited Paper Award from the journal of Image and Vision Computing. His cell classification algorithms were the winners of the International Contest on Pattern Recognition Techniques for Indirect Immunofluorescence Images held by ICIP 2013 and ICPR 2016.

 

 

Prof. Pingyi Fan
Director of Open-Source Data Recognition Innovation Center
IET Fellow
Associate Editor of IEEE TCCN
Member of The United States National Academy of Artificial Intelligence (NAAI)
Tsinghua University, China

Bio: Dr. Pingyi Fan is a professor of the Department of Electronic Engineering of Tsinghua University. He received Ph.D. degree at the Department of Electronic Engineering of Tsinghua University in 1994. From 1997 to 1999, he visited the Hong Kong University of Science and Technology and the University of Delaware in the United States. He also visited many universities and research institutes in the United States, Europe, Japan, Hong Kong and Singapore. He has obtained many research grants, including national 973 Project, 863 Project, mobile special project and the key R&D program, national natural funds and international cooperation projects. He has published more than 190 SCI papers (more than 130 IEEE journals), and 4 academic books. He also applied for more than 30 national invention patents, 5 international patents and. He won seven best paper awards of international conferences, including IEEE ICC2020 and Globecom 2014, and received the best paper award of IEEE TAOS Technical Committee in 2020, the excellent editor award of IEEE TWC (2009), etc. He has served as the editorial board member of several Journals, including IEEE and MDPI. He is currently the editorial board member of Open Journal of Mathematical Sciences, the deputy director of China Information Theory society, the co-chair of China's 6G-ANA TG4, and the chairman of Network and Communication Technology Committee of IEEE ChinaSIP. His current research interests are in 6G wireless communication network and machine learning, semantic information theory and generalized information theory, big data processing theory, intelligent network and system detection, etc.

 

 

Prof. Paolo Mercorelli
Leuphana University of Lüneburg, Germany

Bio: Paolo Mercorelli (Member, IEEE) received the master’s degree in electronic engineering from the University of Florence, Florence, Italy, in 1992, and the Ph.D. degree in systems engineering from the University of Bologna, Bologna, Italy, in 1998. In 1997, he was a Visiting Researcher for one year at the Department of Mechanical and Environmental Engineering, University of California, Santa Barbara. From 1998 to 2001, he held a postdoctoral position at Asea Brown Boveri, Heidelberg, Germany. From 2002 to 2005, he was a Senior Researcher and the Leader of the Control Group, the Institute of Automation and Informatics, Wernigerode, Germany. From 2005 to 2011, he was an Associate Professor of process informatics at the Ostfalia University of Applied Sciences, Wolfsburg, Germany. Since 2012, he has been a Full Professor (Chair) of control and drive systems with the Institute for Production Technology and Systems (IPTS), Leuphana University of Lueneburg, Lueneburg, Germany. His current research interests include mechatronics, automatic control, and signal processing.

 

 

Prof. Thomas Hanne
University of Applied Sciences and Arts Northwestern Switzerland, Switzerland

Bio: Thomas Hanne received master's degrees in Economics and Computer Science, and a PhD in Economics. From 1999 to 2007 he worked at the Fraunhofer Institute for Industrial Mathematics (ITWM) as senior scientist. Since then he is Professor for Information Systems at the University of Applied Sciences and Arts Northwestern Switzerland and Head of the Competence Center Systems Engineering since 2012.
Thomas Hanne is author of more than 180 journal articles, conference papers, and other publications and editor of several journals and special issues. His current research interests include computational intelligence, evolutionary algorithms, metaheuristics, optimization, simulation, multicriteria decision analysis, natural language processing, machine learning, systems engineering, software development, logistics, and supply chain management.