Jacob Feldman

Jacob Feldman is a Professor at Rutgers, The State University of New Jersey, affiliated with the Department of Psychology and the Rutgers Center for Cognitive Science (RuCCS). His research focuses on visual perception, particularly perceptual organization and shape, as well as categorization and concept learning. He employs Bayesian and mathematical models to explore how humans interpret visual data and organize objects into coherent categories.

Feldman received his Ph.D. in 1992 from the M.I.T. Department of Brain and Cognitive Sciences and has remained at Rutgers since. His work emphasizes the simplification of complex data through perceptual and cognitive processes, with applications in robotics, virtual reality, and machine learning. Recent studies examine human-robot interaction, dynamic shape cues, and probabilistic foundations of mental representations.

His publications span computer vision, cognitive psychology, and AI, reflecting interdisciplinary collaborations. Key themes include structure-from-motion, shape similarity, and cue integration in perception.