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Computer Science
USA
2026

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Best Scientists

D-Index
167
Citations
147630
World Ranking
956
National Ranking
567

Computer Science

D-Index
167
Citations
147582
World Ranking
19
National Ranking
10

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Best Scientists Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2011 - Max Planck Research Award Intelligent systems
  • 2011 - AAAI Feigenbaum Prize "For their influential contributions to artificial intelligence via achievements in autonomous vehicle research, including experimental efforts and research leadership of teams addressing challenges with the fielding of robotic systems in the open world."
  • 2010 - IEEE ITS Outstanding Research Award
  • 2007 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Informatics
  • 2007 - Member of the National Academy of Engineering For contributions to probabilistic robotics, including mobile robot localization and mapping.
  • 2006 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the theory of probabilistic robot navigation and its successful real-world application.

Overview

Sebastian Thrun is affiliated with Stanford University in the United States and specializes in the field of Computer Science, with a strong emphasis on Artificial Intelligence. Their scholarly work spans several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Ophthalmology, Molecular Biology, and Control and Systems Engineering.

The scientist's recent papers reflect a focus on machine learning applications in diverse domains. Notable publications include:

  • Artificial intelligence and cancer (2020, Nature Cancer)
  • Differentiation of Active Corneal Infections from Healed Scars Using Deep Learning (2021, Ophthalmology)
  • BanditPAM: Almost Linear Time $k$-Medoids Clustering via Multi-Armed Bandits (2020, arXiv (Cornell University))
  • In-Context Learning for Few-Shot Molecular Property Prediction (2023, arXiv (Cornell University))

Their work involves a range of topics including Machine Learning and Data Classification, Single-cell and Spatial Transcriptomics, Bayesian Modeling and Causal Inference, Domain Adaptation and Few-Shot Learning, Topic Modeling, Explainable Artificial Intelligence (XAI), and Human Motion and Animation.

Frequent collaborators in their research include Mohit Tiwari, Chris Piech, Martin Jinye Zhang, Ilan Shomorony, and Colin E. Sullivan.

The scientist has published extensively in several venues, with primary contributions to:

  • arXiv (Cornell University)
  • Ophthalmology
  • Nature Cancer
  • Proceedings of the AAAI Conference on Artificial Intelligence

Throughout their career, Sebastian Thrun has received multiple awards such as the AAAI Feigenbaum Prize in 2011 for research leadership in autonomous vehicle technology, the Max Planck Research Award in the same year, the IEEE ITS Outstanding Research Award in 2010, and membership in prestigious scholarly academies including the German National Academy of Sciences Leopoldina and the National Academy of Engineering.

The contributions recognized by these awards highlight work on probabilistic robotics, robot navigation, mobile robot localization, and mapping, as well as broader achievements in artificial intelligence and intelligent systems.

Best Publications

  • Dermatologist-level classification of skin cancer with deep neural networks

    Andre Esteva;Brett Kuprel;Roberto A. Novoa;Justin M. Ko

  • Probabilistic Robotics

    Sebastian Thrun

  • The dynamic window approach to collision avoidance

    D. Fox;W. Burgard;S. Thrun

  • A guide to deep learning in healthcare.

    Andre Esteva;Alexandre Robicquet;Bharath Ramsundar;Volodymyr Kuleshov

  • Text Classification from Labeled and Unlabeled Documents using EM

    Kamal Nigam;Andrew Kachites McCallum;Sebastian Thrun;Tom Mitchell

  • FastSLAM: a factored solution to the simultaneous localization and mapping problem

    Michael Montemerlo;Sebastian Thrun;Daphne Koller;Ben Wegbreit

  • Stanley: The Robot that Won the DARPA Grand Challenge

    Sebastian Thrun;Michael Montemerlo;Hendrik Dahlkamp;David Stavens

  • Robust Monte Carlo localization for mobile robots

    Sebastian Thrun;Dieter Fox;Wolfram Burgard;Frank Dallaert

  • Robotic mapping: a survey

    Sebastian Thrun

  • Monte Carlo localization for mobile robots

    F. Dellaert;D. Fox;W. Burgard;S. Thrun

  • Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)

    Sebastian Thrun;Wolfram Burgard;Dieter Fox

  • SCAPE: shape completion and animation of people

    Dragomir Anguelov;Praveen Srinivasan;Daphne Koller;Sebastian Thrun

  • Learning metric-topological maps for indoor mobile robot navigation

    Sebastian Thrun

  • Monte Carlo localization: efficient position estimation for mobile robots

    Dieter Fox;Wolfram Burgard;Frank Dellaert;Sebastian Thrun

  • Towards fully autonomous driving: Systems and algorithms

    Jesse Levinson;Jake Askeland;Jan Becker;Jennifer Dolson

  • FastSLAM 2.0: an improved particle filtering algorithm for simultaneous localization and mapping that provably converges

    Michael Montemerlo;Sebastian Thrun;Daphne Roller;Ben Wegbreit

  • Markov localization for mobile robots in dynamic environments

    Dieter Fox;Wolfram Burgard;Sebastian Thrun

  • Point-based value iteration: an anytime algorithm for POMDPs

    Joelle Pineau;Geoff Gordon;Sebastian Thrun

  • Learning to learn

    Sebastian Thrun;Lorien Pratt

  • A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots

    Sebastian Thrun;Wolfram Burgard;Dieter Fox

  • Monte Carlo Localization

    Dieter Fox;Wolfram Burgard;Frank Dellaert;Sebastian Thrun

Frequent Co-Authors

Wolfram Burgard
Wolfram Burgard University of Technology Nuremberg
Dieter Fox
Dieter Fox University of Washington
Michael Montemerlo
Michael Montemerlo Google (United States)
Daphne Koller
Daphne Koller insitro Inc.
Christian Theobalt
Christian Theobalt Max Planck Institute for Informatics
Frank Dellaert
Frank Dellaert Georgia Institute of Technology
Geoffrey J. Gordon
Geoffrey J. Gordon Carnegie Mellon University
Joelle Pineau
Joelle Pineau McGill University
Armin B. Cremers
Armin B. Cremers University of Bonn

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