Office: 695 Park Avenue, Hunter North Building, NY, NY 10065
Anita Raja is Professor of Computer Science at Hunter College and a member of the doctoral faculty in Computer Science at the Graduate Center, City University of New York. She was previously Acting Chair of the Department (2024-2025), Associate Dean of Research and Graduate Programs and Professor of Computer Science in the Albert Nerken School of Engineering at The Cooper Union (2014-2019) and an Associate Professor of Software and Information Systems at The University of North Carolina at Charlotte (2003-2014). Her research expertise lies at the intersection of bounded rationality, distributed problem-solving, and artificial intelligence. She has made significant contributions in the design and control of rational agents interacting in real-time, multi-agent environments operating in the context of uncertainty and limited computational resources.
Raja directs the Distributed Artificial Intelligence Research (DAIR) Lab. Her work is supported by grants from NSF, NIH, ONR, DARPA, DHS, PNNL and Google. She is recipient of the 2006 UNCC College of Computing Essam El-Kwae Student-Faculty research award. Her work has been recognized with best paper awards and nominations including the Distinguished Paper award at Fundamental Approaches to Software Engineering (FASE) 2025, a 2021 National Institutes of Health’s Decoding Maternal Morbidity Challenge prize for developing a new methodology that identified patients with a high risk of preeclampsia early in pregnancy and the Best Paper Award at the 2010 IEEE Intelligent Agent Technology Conference. Crain’s New York Business named her as one of 75 “Notable Women in Tech” in the Greater New York City area in 2019 . She is a senior member of AAAI and ACM, a 2024 TEDxCUNY speaker and was an elected member of the Executive Council of the AAAI (July 2022- Feb 2026). She was a co-investigator at the Civic-Led Urban Adaptation Research Center (CIVIC-UARC), Cornell Mui Ho Center for Cities (2022-2025) as well as a member of the Center for Computational Learning Systems at Columbia University (2011-2012).
Raja received a B.S. in Computer Science with a minor in Mathematics summa cum laude, Phi Beta Kappa from Temple University, Philadelphia in 1996, and a M.S. and Ph.D. in Computer Science from the Multiagent Systems Lab directed by Professor Victor Lesser at the University of Massachusetts Amherst in 1998 and 2003 respectively.
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