"Seek the wisdom that will untie your knot.
Seek the path that demands your whole being."-Rumi
I am a PostDoctoral Researcher in the Department of Computer Science, University of Maryland, College Park. My research area is AI planning and acting. I am working with Prof. Dana Nau, Dr. Mak Roberts, Dr. Malik Ghallab, Paolo Traverso, and Dr. Myong Kang. I defended my PhD in Summer 2020. My PhD advisor was Prof. Dana Nau. Prior to this, I did my undergraduate studies at Indian Institute of Technology, Kharagpur and worked as a Software Engineer at Microsoft.
My Ph.D. thesis topic is 'Acting, planning and learning with hierarchical operational models' [link]. It addresses the challenges faced by hierarchically organized actors (that do continual online planning and acting) in dynamic environments. We have developed integrated algorithms that incorporate all three: acting, planning, and learning using a unified representation of hierarchical operational models.
Here is a link to my résumé.
(For full list, please see this link)
 Sunandita Patra, James Mason, Malik Ghallab, Paolo Traverso, Dana Nau. Deliberative Acting, Online Planning and Learning with Hierarchical Operational Models. Artificial Intelligence (AIJ). [paper]
 Ruoxi Li, Sunandita Patra, Dana Nau. Decentralized Refinement Planning and Acting. Accepted for publication at ICAPS-21. [paper]
 Sunandita Patra, James Mason, Amit Kumar, Malik Ghallab, Dana Nau, Paolo Traverso. Integrating Acting, Planning, and Learning in Hierarchical Operational Models. ICAPS 2020. Best Student Paper Honorable Mention Award. [paper][poster]
 Sunandita Patra, Malik Ghallab, Dana Nau and Paolo Traverso. APE: An Acting and Planning Engine. Journal of Advances in Cognitive Systems, 2018. [paper]
 Sunandita Patra, Satya Gautam Vadlamudi, and Partha Pratim Chakrabarti. Anytime contract search. SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence 2013. [paper]