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Computer Science

D-Index
42
Citations
10885
World Ranking
8213
National Ranking
18

Overview

Paulo Leitão is affiliated with the Polytechnic Institute of Bragança in Portugal. Their research focuses primarily on the fields of Engineering and Computer Science, with specific expertise in Industrial and Manufacturing Engineering, Computer Networks and Communications, Control and Systems Engineering, Biomedical Engineering, and Information Systems.

The scientist's main research topics include:

  • Digital Transformation in Industry
  • Flexible and Reconfigurable Manufacturing Systems
  • Scheduling and Optimization Algorithms
  • IoT and Edge/Fog Computing
  • Manufacturing Process and Optimization
  • Advanced Manufacturing and Logistics Optimization
  • Muscle activation and electromyography studies

Paulo Leitão has contributed to several recent papers, including:

  • Human resources management 4.0: Literature review and trends, 2022, Computers & Industrial Engineering
  • Industrial Agents as a Key Enabler for Realizing Industrial Cyber-Physical Systems: Multiagent Systems Entering Industry 4.0, 2020, IEEE Industrial Electronics Magazine
  • A Machine Learning Approach for Collaborative Robot Smart Manufacturing Inspection for Quality Control Systems, 2020, Procedia Manufacturing
  • Lean Tools in the Context of Industry 4.0: Literature Review, Implementation and Trends, 2022, Sustainability
  • A review of reference architectures for digital manufacturing: Classification, applicability and open issues, 2023, Computers in Industry

Frequent co-authors of Paulo Leitão include:

  • Luis Piardi
  • Ana I. Pereira
  • Jonas Queiroz
  • Fernando De la Prieta
  • Lucas Sakurada

Their publications often appear in the following venues:

  • IEEE Industrial Electronics Magazine
  • IFAC-PapersOnLine
  • Computers in Industry
  • IEEE Open Journal of the Industrial Electronics Society
  • 2022 IEEE 20th International Conference on Industrial Informatics (INDIN)

Paulo Leitão has authored multiple books published by Springer Nature. Titles include various editions of "Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future," released between 2021 and 2023.

Best Publications

  • Agent-based distributed manufacturing control: A state-of-the-art survey

    Paulo Leitão

  • Industrial automation based on cyber-physical systems technologies

    Paulo Leitão;Armando Walter Colombo;Stamatis Karnouskos

  • ADACOR: a holonic architecture for agile and adaptive manufacturing control

    Paulo Leitão;Francisco Restivo

  • A Review of Architectures and Concepts for Intelligence in Future Electric Energy Systems

    Thomas Strasser;Filip Andren;Johannes Kathan;Carlo Cecati

  • Smart Agents in Industrial Cyber–Physical Systems

    Paulo Leitao;Stamatis Karnouskos;Luis Ribeiro;Jay Lee

  • Dynamic self-organization in holonic multi-agent manufacturing systems

    José Barbosa;Paulo Leitão;Emmanuel Adam;Damien Trentesaux

  • Past, Present, and Future of Industrial Agent Applications

    Paulo Leitao;Vladimir Marik;Pavel Vrba

  • Digital transformation of manufacturing through cloud services and resource virtualization

    Theodor Borangiu;Damien Trentesaux;André Thomas;Paulo Leitão

  • IDARTS – Towards intelligent data analysis and real-time supervision for industry 4.0

    Ricardo Silva Peres;Andre Dionisio Rocha;Paulo Leitao;Jose Barata

  • Bio-inspired multi-agent systems for reconfigurable manufacturing systems

    Paulo LeitãO;José Barbosa;Damien Trentesaux

  • Digital Twin in Industry 4.0: Technologies, Applications and Challenges

    Flavia Pires;Ana Cachada;Jose Barbosa;Antonio Paulo Moreira

  • A Review of Agent and Service-Oriented Concepts Applied to Intelligent Energy Systems

    Pavel Vrba;Vladimir Marik;Pierluigi Siano;Paulo Leitao

  • Foundations for a Core Ontology of Manufacturing

    Stefano Borgo;Paulo Leitão

  • An agile and adaptive holonic architecture for manufacturing control

    Paulo Jorge Pinto Leitão

  • Benchmarking flexible job-shop scheduling and control systems

    Damien Trentesaux;Cyrille Pach;Abdelghani Bekrar;Yves Sallez

  • Multistage Quality Control Using Machine Learning in the Automotive Industry

    Ricardo Silva Peres;Jose Barata;Paulo Leitao;Gisela Garcia

  • The role of foundational ontologies in manufacturing domain applications

    Stefano Borgo;Paulo Leitão

  • A holonic approach to dynamic manufacturing scheduling

    Paulo Leitão;Francisco Restivo

  • ADACOR: a collaborative production automation and control architecture

    P. Leitao;A.W. Colombo;F.J. Restivo

  • Industrial Agents as a Key Enabler for Realizing Industrial Cyber-Physical Systems: Multiagent Systems Entering Industry 4.0

    Stamatis Karnouskos;Paulo Leitao;Luis Ribeiro;Armando Walter Colombo

  • Holonic and multi-agent systems for manufacturing: proceedings of the 5th International Conference on Industrial Applications of Holonic and Multi-Agent Systems

    Vladimir Marik;Pavel Vrba;Paulo Leitão

Frequent Co-Authors

Armando Walter Colombo
Armando Walter Colombo University of Applied Sciences Emden Leer
Damien Trentesaux
Damien Trentesaux University Polytechnic Hauts-de-France
José Barata
José Barata Universidade Nova de Lisboa
Stamatis Karnouskos
Stamatis Karnouskos Systems, Applications & Products in Data Processing (Germany)
Thomas Strasser
Thomas Strasser Austrian Institute of Technology
Birgit Vogel-Heuser
Birgit Vogel-Heuser Technical University of Munich
Luis M. Camarinha-Matos
Luis M. Camarinha-Matos Universidade Nova de Lisboa
João Paulo Teixeira
João Paulo Teixeira University of Porto
Valeriy Vyatkin
Valeriy Vyatkin Aalto University
Peter Palensky
Peter Palensky Delft University of Technology

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