معرفی
Anita Raja is a 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 (CUNY). She previously served as Acting Chair of the Department (2024-2025), Associate Dean of Research and Graduate Programs at The Cooper Union's Albert Nerken School of Engineering (2014-2019), and Associate Professor at The University of North Carolina at Charlotte (2003-2014).
Her educational background includes a B.S. Honors in Computer Science with a minor in Mathematics summa cum laude from Temple University (1996), and M.S. and Ph.D. in Computer Science from the University of Massachusetts Amherst (1998, 2003).
Anita Raja's research focuses on the intersection of bounded rationality, distributed problem-solving, and artificial intelligence. Her work particularly emphasizes designing and controlling rational agents in real-time, multi-agent environments under uncertainty and limited computational resources. She directs the Distributed Artificial Intelligence Research (DAIR) Lab, which has produced significant work in areas such as deep learning program refactoring, health data analysis using generative algorithms, and technical debt in machine learning systems.
Her recent publications demonstrate a strong focus on improving deep learning systems through automated refactoring techniques and addressing challenges in migrating imperative deep learning programs to graph execution models. Her work bridges theoretical AI concepts with practical software engineering applications in machine learning systems.
- 2006 UNCC College of Computing Essam El-Kwae Student-Faculty research award
- Best Paper Award at the 2010 IEEE Intelligent Agent Technology Conference
- Distinguished Paper award at FASE 2025
- 2021 National Institutes of Health's Decoding Maternal Morbidity Challenge prize
- Named one of 75 "Notable Women in Tech" by Crain's New York Business in 2019
- Elected to serve on the Executive Council of AAAI in 2022
Anita Raja has successfully advised multiple graduate students including Jeffrey Hsu (Masters thesis on "Intuiting Interaction: Meta-Reasoning and Meta-Learning as Foundations for Intelligent User Interfaces") and Dylan Dominguez. Her research is supported by grants from NSF, NIH, ONR, DARPA, DHS and PNNL. She serves as a co-investigator at the Civic-Led Urban Adaptation Research Center (CIVIC-UARC) at the Cornell Mui Ho Center for Cities.
She directs the Distributed Artificial Intelligence Research (DAIR) Lab which has been actively working on projects related to deep learning systems, health informatics, and multi-agent systems. The lab has received funding from multiple prestigious sources including NSF and NIH, and has produced award-winning research in both academic conferences and real-world challenges.
