In this talk, I will present results of recent research activities at the Art and Artificial Intelligence Laboratory at Rutgers University. We investigate perceptual and cognitive tasks related to understanding human creativity in visual art. In particular, we study problems related to art styles, influence, and iconography. We develop computational models that aim at providing answers to questions about what characterizes the sequence and evolution of changes in style over time. I will talk about how AI can help analyze art in new ways, at the micro level and macro level.
Dr. Ahmed Elgammal is a professor at the Department of Computer Science, Rutgers University. He is the founder and director of the Art and Artificial Intelligence Laboratory at Rutgers, which focuses on data science in the domain of digital humanities. He is also an Executive Council Faculty at Rutgers University Center for Cognitive Science. Prof. Elgammal has published over 180 peer-reviewed papers, book chapters, and books in the fields of computer vision, machine learning and digital humanities. He received several National Science Foundation research grants, including the CAREER Award in 2006. Dr. Elgammal research on knowledge discovery in art history received worldwide media attention, including many reports on the Washington Post, New York Times, Boston Globe, NBC News, the Daily Telegraph, Science News, and others. In 2016 a TV short documentary produced for PBS about his research received an Emmy Award. Between 2019 and 2021 Dr. Elgammal lead an AI team in completing Beethoven 10th symphony, a work that received world-wide recognition. Dr. Elgammal received his M.Sc. and Ph.D. degrees in computer science from the University of Maryland, College Park, in 2000 and 2002, respectively.
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POC: Wael Abd-Almageed and Alma Nava