David G. Stork
Bio: David G. Stork, PhD, is an Adjunct Professor in two departments and two programs at Stanford University and is widely considered the founding pioneer of the application of sophisticated computer vision, computer graphics, and artificial intelligence to problems in the history and interpretation of fine-art paintings and drawings. He published the earliest technical scholarship in the field, taught its first courses (at Stanford), co-founded its first conference (now called Computer Vision and Analysis of Art), and published its first book, Pixels & paintings: Foundations of computer-assisted connoisseurship (Wiley, 2024). He has lectured at dozens of leading museums worldwide and taught computer methods at the Courtauld Institute of Art in London. He has published over 220 scholarly works and 64 issued patents and is a Fellow of eight international professional/scholarly organizations and a 2023 Leonardo@Djerassi Fellow. He is completing his tenth book, Principled art authentication: A probabilistic foundation for representing and reasoning under uncertainty.
Jingyi Yu
Bio: Jingyi Yu is an OSA Fellow, IEEE Fellow and an ACM Distinguished Scientist, Director of the MoE Key Lab of Intelligent Perception and Human-Machine Collaboration. He received B.S. with honor from Caltech in 2000 in Computer Science and Applied Mathematics and Ph.D. from MIT in EECS in 2005. He is the Inaugural Chair Professor of the ShanghaiTech University. He also serves as the Vice Provost of the university and the Dean of the School of Information Science and Technology. Dr. Yu has been working extensively on computational imaging, computer vision, computer graphics, and bioinformatics. He received both the NSF CAREER Award, Air Force Young Investigator Award, Magnolia Memorial Award. He has over 10 PCT patents on AI-driven computational imaging solutions, many of which have been widely deployed in smart cities, digital human, human-computer interactions, etc. He has served as an Associate Editor of IEEE TPAMI, IEEE TIP, and Elsevier CVIU as well as program chairs of several top AI conferences including ICCP 2016, ICPR 2020, WACV 2021, IEEE CVPR 2021, and ICCV 2025. He is also a member of the World Economic Forum’s Global Future Council, serving as a Curator of the Metaverse Transformation Map.