World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
14039
World Ranking
2930
National Ranking
1440

Research.com Recognitions

  • 2019 - ACM Fellow For contributions to automated planning and human-aware AI systems and leadership within the field
  • 2017 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Subbarao Kambhampati is affiliated with Arizona State University in the United States and has an extensive publication record in computer science, with a focus on artificial intelligence and related subfields.

Their research spans multiple areas within computer science, particularly artificial intelligence, with significant contributions to subfields including computer vision and pattern recognition, computer networks and communications, social psychology, and information systems. Specific research topics covered include:

  • AI-based Problem Solving and Planning
  • Explainable Artificial Intelligence (XAI)
  • Topic Modeling
  • Reinforcement Learning in Robotics
  • Natural Language Processing Techniques
  • Bayesian Modeling and Causal Inference
  • Logic, Reasoning, and Knowledge

Kambhampati has published in a variety of highly regarded venues, with frequent appearances in the following:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Artificial Intelligence
  • Proceedings of the International Conference on Automated Planning and Scheduling
  • Proceedings of the International AAAI Conference on Web and Social Media

The scientist has authored several papers with notable examples including:

  • "Dude, srsly?: The Surprisingly Formal Nature of Twitter's Language" (2021), Proceedings of the International AAAI Conference on Web and Social Media
  • "ET-LDA: Joint Topic Modeling for Aligning Events and their Twitter Feedback" (2021), Proceedings of the AAAI Conference on Artificial Intelligence
  • "On the Planning Abilities of Large Language Models: A Critical Investigation" (2023), arXiv (Cornell University)
  • "PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change" (2022), arXiv (Cornell University)
  • "Challenges of Human-Aware AI Systems: AAAI Presidential Address" (2020), AAAI Publications (The Association for the Advancement of Artificial Intelligence)

Collaboration forms an important part of Kambhampati's work, with frequent co-authors including:

  • Sarath Sreedharan
  • Mudit Verma
  • Karthik Valmeekam
  • Anagha Kulkarni
  • Sailik Sengupta

In addition to journal articles and conference papers, Kambhampati has published a book titled Explainable Human-AI Interaction in 2022 through Morgan & Claypool Publishers.

The scientist's work in automated planning and human-aware AI systems has been recognized by the wider scientific community through awards such as:

  • ACM Fellow (2019) for contributions to automated planning and human-aware AI systems and leadership within the field
  • Fellow of the American Association for the Advancement of Science (AAAS) (2017)

Best Publications

  • What We Instagram: A First Analysis of Instagram Photo Content and User Types

    Yuheng Hu;Lydia Manikonda;Subbarao Kambhampati

  • Multiresolution path planning for mobile robots

    S. Kambhampati;L. Davis

  • A validation-structure-based theory of plan modification and reuse

    Subbarao Kambhampati;James A. Hendler

  • Sapa: a multi-objective metric temporal planner

    Minh B. Do;Subbarao Kambhampati

  • Planning as refinement search: a unified framework for evaluating design tradeoffs in partial-order planning

    Subbarao Kambhampati;Craig A. Knoblock;Qiang Yang

  • Integration of biological sources: current systems and challenges ahead

    Thomas Hernandez;Subbarao Kambhampati

  • Plan explanations as model reconciliation: Moving beyond explanation as soliloquy

    Tathagata Chakraborti;Sarath Sreedharan;Yu Zhang;Subbarao Kambhampati

  • Planning as constraint satisfaction: solving the planning graph by compiling it into CSP

    Minh Binh Do;Subbarao Kambhampati

  • Reviving partial order planning

    XuanLong Nguyen;Subbarao Kambhampati

  • A Survey of Moving Target Defenses for Network Security

    Sailik Sengupta;Ankur Chowdhary;Abdulhakim Sabur;Adel Alshamrani

  • When is temporal planning really temporal

    William Cushing;Subbarao Kambhampati;Daniel S. Weld

  • Planning and scheduling

    Thomas L. Dean;Subbarao Kambhampati

  • Planning graph heuristics for belief space search

    Daniel Bryce;Subbarao Kambhampati;David E. Smith

  • Probabilistic planning via determinization in hindsight

    Sungwook Yoon;Alan Fern;Robert Givan;Subbarao Kambhampati

  • Sapa: A Domain-Independent Heuristic Metric Temporal Planner

    Minh Do;Subbarao Kambhampati

  • Plan explicability and predictability for robot task planning

    Yu Zhang;Sarath Sreedharan;Anagha Kulkarni;Tathagata Chakraborti

  • A snapshot of public web services

    Jianchun Fan;Subbarao Kambhampati

  • Understanding and Extending Graphplan

    Subbarao Kambhampati;Eric Parker;Eric Lambrecht

  • Effective approaches for partial satisfaction (over-subscription) planning

    Menkes van den Briel;Romeo Sanchez;Minh B. Do;Subbarao Kambhampati

  • Planning graph as the basis for deriving heuristics for plan synthesis by state space and CSP search

    XuanLong Nguyen;Subbarao Kambhampati;Romeo S. Nigenda

Frequent Co-Authors

James A. Hendler
James A. Hendler Rensselaer Polytechnic Institute
Matthias Scheutz
Matthias Scheutz Tufts University
Baoxin Li
Baoxin Li Shaanxi Normal University
Dijiang Huang
Dijiang Huang Arizona State University
Gail-Joon Ahn
Gail-Joon Ahn Arizona State University
Craig A. Knoblock
Craig A. Knoblock University of Southern California
Manuela Veloso
Manuela Veloso Carnegie Mellon University
Thomas G. Dietterich
Thomas G. Dietterich Oregon State University
Jami J. Shah
Jami J. Shah The Ohio State University
Larry S. Davis
Larry S. Davis University of Maryland, College Park

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