World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
16985
World Ranking
7377
National Ranking
190

Overview

Paolo Traverso is affiliated with Fondazione Bruno Kessler in Italy and conducts research primarily in the fields of Computer Science and Medicine. Their work spans a wide range of topics, with a focus on Artificial Intelligence, specifically AI-based problem solving and planning.

The scientist's main subfields of study include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Pulmonary and Respiratory Medicine
  • Surgery
  • Radiology, Nuclear Medicine and Imaging

Research topics explored by Paolo Traverso cover:

  • AI-based Problem Solving and Planning
  • Reinforcement Learning in Robotics
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Logic, Reasoning, and Knowledge
  • Semantic Web and Ontologies
  • Robotic Path Planning Algorithms

Frequent coauthors include Carlo Terrone, Malik Ghallab, Luciano Serafini, Dana Nau, and Sunandita Patra, highlighting a collaborative network across multiple related AI disciplines.

Publications by Paolo Traverso appear regularly in several prominent venues such as:

  • arXiv (Cornell University)
  • European Urology Open Science
  • Artificial Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Notable recent papers include:

  • "Online Learning of Reusable Abstract Models for Object Goal Navigation," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Deliberative acting, planning and learning with hierarchical operational models," 2021, Artificial Intelligence
  • "Integrating Acting, Planning, and Learning in Hierarchical Operational Models," 2020, Proceedings of the International Conference on Automated Planning and Scheduling
  • "Oligometastatic Prostate Cancer Treated with Metastasis-Directed Therapy Guided by Positron Emission Tomography: Does the Tracer Matter?," 2023, Cancers
  • "On-line Learning of Planning Domains from Sensor Data in PAL: Scaling up to Large State Spaces," 2021, Proceedings of the AAAI Conference on Artificial Intelligence

Paolo Traverso has also contributed to academic books, including the forthcoming "Acting, Planning, and Learning," scheduled for publication by Cambridge University Press in 2025.

Best Publications

  • Automated Planning, Theory And Practice

    Malik Ghallab;Dana S. Nau;Paolo Traverso

  • Service-Oriented Computing: State of the Art and Research Challenges

    M.P. Papazoglou;P. Traverso;S. Dustdar;F. Leymann

  • Automated Planning: Theory & Practice

    Dana Nau;Malik Ghallab;Paolo Traverso

  • SERVICE-ORIENTED COMPUTING: A RESEARCH ROADMAP

    Michael P. Papazoglou;Paolo Traverso;Schahram Dustdar;Frank Leymann

  • Weak, strong, and strong cyclic planning via symbolic model checking

    A. Cimatti;M. Pistore;M. Roveri;P. Traverso

  • Automated composition of semantic web services into executable processes

    Paolo Traverso;Marco Pistore

  • Automated Planning and Acting

    Malik Ghallab;Dana Nau;Paolo Traverso

  • Run-Time Monitoring of Instances and Classes of Web Service Compositions

    F. Barbon;P. Traverso;M. Pistore;M. Trainotti

  • Specifying and analyzing early requirements in Tropos

    Ariel Fuxman;Lin Liu;John Mylopoulos;Marco Pistore

  • Planning and monitoring Web service composition

    M. Pistore;F. Barbon;P. Bertoli;D. Shaparau

  • Service-Oriented Computing Research Roadmap

    Michael P. Papazoglou;Paolo Traverso;Schahram Dustdar;Frank Leymann

  • Planning as Model Checking

    Fausto Giunchiglia;Paolo Traverso

  • Automated composition of web services by planning at the knowledge level

    M. Pistore;A. Marconi;P. Bertoli;P. Traverso

  • Planning in nondeterministic domains under partial observability via symbolic model checking

    Piergiorgio Bertoli;Alessandro Cimatti;Marco Roveri;Paolo Traverso

  • Model checking early requirements specifications in Tropos

    A. Fuxman;M. Pistore;J. Mylopoulos;P. Traverso

  • Automated synthesis of composite BPEL4WS Web services

    M. Pistore;P. Traverso;P. Bertoli;A. Marconi

  • Automated composition of web services by planning in asynchronous domains

    M. Pistore;P. Traverso;P. Bertoli

  • Enabling Distributed Knowledge Management: Managerial and Technological Implications

    Matteo Bonifacio;Paolo Bouquet;Paolo Traverso

  • Web service composition as planning

    Mark Carman;Jose Luis Ambite;Luciano Serafini;Craig Knoblock

  • Planning via Model Checking: A Decision Procedure for AR

    Alessandro Cimatti;Fausto Giunchiglia;Enrico Giunchiglia;Paolo Traverso

Frequent Co-Authors

Dana S. Nau
Dana S. Nau University of Maryland, College Park
Marco Pistore
Marco Pistore Fondazione Bruno Kessler
Alessandro Cimatti
Alessandro Cimatti Fondazione Bruno Kessler
Fausto Giunchiglia
Fausto Giunchiglia University of Trento
Mike P. Papazoglou
Mike P. Papazoglou Tilburg University
Enrico Giunchiglia
Enrico Giunchiglia University of Genoa
Frank Leymann
Frank Leymann University of Stuttgart
Luciano Serafini
Luciano Serafini Fondazione Bruno Kessler
Martin Wirsing
Martin Wirsing Ludwig-Maximilians-Universität München

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