Sunandita Patra

Sunandita Patra is an AI Research Scientist at JPMorgan Chase & Co., specializing in the integration of acting, planning, and machine learning.3 She holds a Ph.D. from the University of Maryland, College Park, where she focused on "Acting, Planning, and Learning Using Hierarchical Operational Models".1

Research Experience

Patra has worked on various AI applications, including:

1. AI in finance (2021-present): At JPMorgan AI Research, she developed a framework for solving financial trading problems using AI planning and reinforcement learning.1

2. Cybersecurity: Collaborated with Naval Research Labs to defend software-defined networks against high-volume, fast-paced attacks.1

3. Robotics: Developed goal-biased curriculum for temporal goal networks in dynamic environments.1

Academic Achievements

• Ph.D. in Computer Science from the University of Maryland, College Park (2020)1
• Master's degree from IIT Kharagpur (2014)1
• Bachelor's degree from IIT Kharagpur (2013)1

Notable Publications

Patra has authored several publications in prestigious AI conferences and journals, including:

• "Deliberative acting, planning and learning with hierarchical operational models" in Artificial Intelligence Journal (2021)1
• "Integrating Acting, Planning and Learning in Hierarchical Operational Models" at ICAPS 2020 (Best Student Paper Honorable Mention)1
• "Using online planning and acting to recover from cyberattacks on software-defined networks" at AAAI 20211

Her research interests span automated planning, planning and acting, planning and learning, software-defined networks, and scheduling.2