David G. Stork

David G. Stork is a scientist and author, who has made contributions to machine learning, pattern recognition, computer vision, artificial intelligence, computational optics, image analysis of fine art, and related fields.

Biography Stork received his BS in Physics from the Massachusetts Institute of Technology with a thesis under the direction of Dr. Edwin Land, President and CEO of the Polaroid Corporation, and his MS and PhD in Physics from the University of Maryland, College Park with a thesis under the direction of David S. Falk. and published the first textbook pertaining to the field, Pixels & paintings: Foundations of computer-assisted connoisseurship (Wiley).

Stork has authored more than 200 peer-reviewed articles and nine books or edited volumes, and he holds 64 U.S. patents. His later contributions include Pixels & Paintings: Foundations of Computer-Assisted Connoisseurship and several edited collections on computer vision and image analysis of art. Most recently, his article “Computer Vision, ML, and AI in the Study of Fine Art” (Communications of the ACM, 2024) highlights his continuing role in bridging the sciences and the humanities.

Research Stork’s research spans physics, computer science, applied mathematics, and the digital humanities, with particular emphasis on computer vision, computational imaging, and the analysis of fine art. His work in computer image analysis involves the quantitative study of paintings and drawings, addressing questions of attribution, stylistic characterization, studio practice, lighting, and the recovery of underdrawings. Optical Society of America (OSA), International Society for Optics and Photonics (SPIE), Society for Imaging Science and Technology (IS&T), International Association for Pattern Recognition (IAPR), and International Academy, Research, and Industry Association (IARIA), Asia-Pacific Artificial Intelligence Association, International Artificial Intelligence Industry Alliance, and 2023 Leonardo@Djerassi Fellow, and has been Senior Member of the Association for Computing Machinery (ACM) and Member of the Association for the Advancement of Artificial Intelligence (AAAI). He was awarded the 2017 Industrial Distinguished Leader Award from the Asia Pacific Signal and Information Processing Association (APSIPA)

Selected works Pattern classification (2nd ed.) by R. O. Duda, P. E. Hart, and D. G. Stork (Wiley, 2001) Seeing the light: Optics in nature, photography, color, vision and holography (2nd ed.) by D. S. Falk, D. R. Brill, and D. G. Stork (Echo Point Press, 2019) Physics of Sound (3rd ed.) by R. O. Berg and D. G. Stork (Prentice-Hall, 2004) HAL's Legacy: 2001's computer as dream and reality, edited by D. G. Stork, with a Foreword by Arthur C. Clarke (MIT Press, 1996) "2001: HAL's Legacy", documentary film created by D. Kennard and D. G. Stork for PBS Television (South Carolina PBS Television, 2001) Speechreading by humans and machines, edited by D. G. Stork and M. E. Hennecke (Springer, 1996) Computer image analysis in the study of art, edited by D. G. Stork and J. Coddington (SPIE Press, 2008) Computer vision and image analysis of art, edited by D. G. Stork, J. Coddington and A. Bentkowska-Kafel (SPIE Press, 2010) Computer vision and image analysis of art II, edited by D. G. Stork, J. Coddington and A. Bentkowska-Kafel (SPIE Press, 2011) Pixels & paintings: Foundations of computer-assisted connoisseurship (Wiley, 2024) Computer Vision, ML, and AI in the study of fine art Communications of the Association for Computing Machinery, May 2024