Organizing Team
Luntian Mou
Beijing University of Technology
Beijing, China
ltmou@bjut.edu.cn
Dr. Luntian Mou is an Associate Professor with the School of Information Science and Technology, Beijing Institute of Artificial Intelligence (BIAI), Beijing University of Technology. He received the Ph.D. degree in computer science from the University of Chinese Academy of Sciences, China in 2012. He served as a Postdoctoral Fellow at Peking University, from 2012 to 2014. And he was a Visiting Scholar with the University of California, Irvine, from 2019 to 2020. He initiated the IEEE Workshop on Artificial Intelligence for Art Creation (AIART) in 2019, and has organized the workshop annually ever since. His current research interests include artificial intelligence, machine learning, multimedia computing, affective computing, and brain-like computing. He is the recipient of Beijing Municipal Science and Technology Advancement Award, IEEE Outstanding Contribution to Standardization Award, and AVS Outstanding Contribution on 15th Anniversary Award. He serves as a guest editor for Machine Intelligence Research, and a reviewer for many important international journals and conferences such as TIP, TAFFC, TCSVT, TITS, AAAI, etc. And he serves as a Co-Chair of System subgroup in AVS workgroup. He is a Senior Member of IEEE and CCF, and a Member of ACM, CAAI, and CSIG, and an Expert of MPEG China.
Feng Gao
Peking University
Beijing, China
gaof@pku.edu.cn
Dr. Feng Gao is an Assistant Professor with the School of Arts, Peking University. He has long researched in the disciplinary fields of AI and art, especially in AI painting. He co-initiated the international workshop of AIART. Currently, he is also enthusiastic in virtual human. He has demonstrated his AI painting system, called Daozi, in several workshops and drawn much attention.
Kejun Zhang
Zhejiang University
Hangzhou, China
zhangkejun@zju.edu.cn
Dr. Kejun Zhang is a Professor with Zhejiang University, joint PhD supervisor on Design and Computer Science, Dean of Department of Industrial Design at College of Computer Science of Zhejiang University. He received his PhD degree from College of Computer Science and Technology, Zhejiang University in 2010. From 2008 to 2009, He was a visiting research scholar of University of Illinois at Urbana-Champaign, USA. In June 2013, he became a faculty of the College of Computer Science and Technology at Zhejiang University. His current research interests include Affective Computing, Design Science, Artificial Intelligence, Multimedia Computing and the understanding, modelling and innovation design of products and social management by computational means. He is now the PI of National Science Foundation of China, Co-PI of National Key Research and Development Program of China, and PIs of ten more other research programs. He has authored 4 books, more than 40 scientific papers.
Haonan Cheng
Communication University of China
Beijing, China
haonancheng@cuc.edu.cn
Dr. Haonan Cheng is a Professor with the State Key Laboratory of Media Convergence and Communication, Communication University of China, mainly focuses on audio information processing, audio-visual cross modal generation and forgery detection. She became the first technical expert in China to be awarded the Asia-Pacific Young Engineer Prize by ABU in 2024, and was selected for the Beijing National Governance and Young Talent Cultivation Program in 2025. In recent years, she has published more than 50 SCI/EI papers in IEEE TOG, TIFS, TASLP, SIGGRAPH, IEEE VR, IJCAI, AAAI, ACM MM, etc. She has been authorized 2 national invention patents, and won the Excellent Paper Award in the 5th CSIG China Media Forensics and Security Conference, and Best Poster Paper Award in the 20th International Forum on Digital Multimedia Communications. She was funded by more than 10 projects, including National Natural Science Foundation of China, National Key R&D Program, National Social Science Foundation of China, and Medium and Long-term Science and Technology Program for Radio, Television and Audiovisual Network, etc. She serves as a member of the Multimedia Specialized Committee of the Chinese Society of Image and Graphics, the Program Chair of the International Forum on Digital Multimedia Communications, the Forum Chair of the China Multimedia Conference, and the Session Chair of ACM MM and other international conferences.
Ambarish Natu
Australian Government
Australian Capital Territory, Australia
ambarish.natu@gmail.com
Dr. Ambarish Natu is with the Australian Government. After graduating from University of New South Wales, Sydney, Ambarish has held positions as a visiting researcher in Italy and Taiwan, worked for industry in United Kingdom and the United States of America and for the past ten years has been working in the Australian Government. For the past 17 years, Ambarish has led the development of five international standards under the auspices of the International Standards Organization (ISO) popularly known as JPEG (Joint Photographic Experts Group). He is the recipient of the ISO/IEC certificate for contributions to technology standards. Ambarish is highly active in the area of international standardization and voicing Australian concerns in the area of JPEG and MPEG (Motion Pictures Experts Group) standardization. He previously initiated an effort in the area of standardization relating to Privacy and Security in the Multimedia Context both within JPEG and MPEG standard bodies. In 2015, Ambarish was the recipient of the prestigious Neville Thiele Award and the Canberra Professional Engineer of the Year by Engineers Australia. Ambarish currently works as an ICT Specialist for the Australian Government. Ambarish is a Fellow of the Australian Computer Society and Engineers Australia. Ambarish also serves on the IVMSP TC and the Autonomous Systems Initiative of the IEEE Signal Processing Society. Ambarish has also been General Chair of DICTA 2018, ICME 2023 and TENSYMP 2023 in the past. Ambarish has keen interest in next generation data and analytics technologies that will change the course of the way we interact with in the world.
Gerui Wang
Stanford University
California, USA
grwang@stanford.edu
Dr. Gerui Wang is a Lecturer at Stanford University Center for East Asian Studies, where she teaches classes on contemporary art, AI and posthumanism. Her research interests span arts, public policy, environment, and emerging technologies. She is a member of the Alan Turing Institute AI&Arts Research Group. With her background in art history, she has published in the Journal of Chinese History and Newsletter for International China Studies. Gerui's book Sustaining Landscapes: Governance and Ecology in Chinese Visual Culture is forthcoming in 2025. Her research briefs on AI, robotics, media, and society are frequently featured in public venues including Forbes, Alan Turing Institute's AI and Art Forum, Asia Times, and South China Morning Post. Gerui holds a doctorate in art history from the University of Michigan.
Ling Fan
Tezign.com
Tongji University Design Artificial Intelligence Lab
Shanghai, China
lfan@tongji.edu.cn
Dr. Ling Fan is a Scholar and Entrepreneur to bridge machine intelligence with creativity. He is the founding chair and professor of Tongji University Design Artificial Intelligence Lab. Before, he held teaching position at the University of California at Berkeley and China Central Academy of Fine Arts. Dr. Fan co-founded Tezign.com, a leading technology start-up with the mission to build digital infrastructure for creative contents. Tezign is backed by top VCs like Sequoia Capital and Hearst Ventures. Dr. Fan is a World Economic Forum Young Global Leader, an Aspen Institute China Fellow, and Youth Committee member at the Future Forum. He is also a member of IEEE Global Council for Extended Intelligence. Dr. Fan received his doctoral degree from Harvard University and master's degree from Princeton University. He recently published From Universality of Computation to the Universality of Imagination, a book on how machine intelligence would influence human creativity.
Terence Broad
University of the Arts London
London, The United Kingdom
t.broad@arts.ac.uk
Dr. Terence Broad is an Artist and Researcher working in London. He is a Senior Lecturer at the UAL Creative Computing Institute and has recently completed a PhD at Goldsmiths in generative AI. His art and research have been presented internationally: at conferences and journals such as SIGGRAPH, Leonardo, NeurIPS, and ICCC; and museums such as The Whitney Museum of American Art, Garage Museum of Contemporary Art, Ars Electronica, The Barbican and The Whitechapel Gallery. In 2019 He won the Grand Prize in the ICCV Computer Vision Art Gallery. His work is in the city of Geneva’s contemporary art collection.
