Published several papers, including 'Acting and Planning Using Operational Models' (AAAI 2019), 'Decentralized Refinement Planning and Acting' (ICAPS 2021), and more.
Research Experience
Research Lead at J.P. Morgan AI Research; Postdoc and Ph.D. student at the University of Maryland, College Park; developed acting and online planning algorithms for dynamic environments; created simulated test domains to evaluate algorithm performance.
Education
Ph.D. from the Department of Computer Science, University of Maryland, College Park, under the supervision of Prof. Dana Nau; Bachelor's and Master's of Technology degrees in Computer Science and Engineering from Indian Institute of Technology, Kharagpur; worked as a Software Engineer at Microsoft.
Background
Areas of interest include acting, planning, and machine learning; applications of AI in finance, robotics, and cybersecurity; search and optimization. Her research focuses on integrating acting, planning, and machine learning to build deliberative actors that can operate in real-world environments with unpredictable and evolving conditions.