
About
Susan Epstein is a Professor of Computer Science at Hunter College, CUNY, affiliated with both the CUNY Graduate School and Hunter College. She holds a Ph.D. from Rutgers University and has expertise in Artificial Intelligence, Machine Learning, Spatial Cognition, and Cognitive Modeling. Her research focuses on robot navigation, human-robot collaboration, constraint satisfaction, and spoken dialogue systems. She has collaborated with institutions like Kings College London and MIT's Center for Brains, Minds, and Machines.
Epstein teaches courses on Artificial Intelligence, Machine Learning, and interdisciplinary topics like Brains, Minds, and Machines. She advises numerous graduate and undergraduate students, contributing to projects in robotics, bioinformatics, and constraint-based problem solving. Her work has been supported by grants from the National Science Foundation and PSC-CUNY.
Key research initiatives include the SemaFORR framework for human-multi-robot teams, the ACE constraint solver, and FORRSooth dialogue systems. Her lab explores adaptive navigation, cognitive spatial models, and applications of machine learning to real-world problems like protein folding and game playing.
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