World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6842
World Ranking
10163
National Ranking
30

Overview

João M. C. Sousa is affiliated with Instituto Superior Técnico in Portugal and has a research focus spanning engineering and computer science. Their work addresses topics such as advanced manufacturing, logistics optimization, artificial intelligence, and control systems.

The main fields of study for Sousa include Engineering with 77 publications and Computer Science with 43 publications. Within these areas, notable subfields are Industrial and Manufacturing Engineering, Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, and Management Information Systems.

Research topics covered are diverse and include:

  • Advanced Manufacturing and Logistics Optimization
  • Scheduling and Optimization Algorithms
  • Digital Transformation in Industry
  • Assembly Line Balancing Optimization
  • Fault Detection and Control Systems
  • Flexible and Reconfigurable Manufacturing Systems
  • Supply Chain and Inventory Management

João M. C. Sousa has published in several well-established venues. Frequent publication venues include Automation, Computers & Industrial Engineering, IFAC-PapersOnLine, Journal of Manufacturing Systems, and arXiv (Cornell University).

Recent papers authored or co-authored by Sousa demonstrate a focus on industrial applications, intelligent automation, and energy optimization. These include:

  • A Middleware Platform for Intelligent Automation: An Industrial Prototype Implementation, 2020, Computers in Industry
  • Survey on robotic systems for internal logistics, 2022, Journal of Manufacturing Systems
  • Intelligent Sensors for Real-Time Decision-Making, 2021, Automation
  • Artificial intelligence-based prediction of transfusion in the intensive care unit in patients with gastrointestinal bleeding, 2021, BMJ Health & Care Informatics
  • Optimization of a photovoltaic-battery system using deep reinforcement learning and load forecasting, 2024, Energy and AI

Souza collaborates regularly with a group of co-authors including Susana M. Vieira, Miguel S. E. Martins, Bernardo Firme, Tiago Coito, and João Figueiredo.

The scientist has contributed to the academic literature through book publications as well, with work appearing with Springer Nature. One such publication is titled Developments and Advances in Defense and Security, published in 2021.

Best Publications

  • Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients

    Susana M. Vieira;Luís F. Mendonça;Gonçalo J. Farinha;João M.C. Sousa

  • Cohen's kappa coefficient as a performance measure for feature selection

    Susana M. Vieira;Uzay Kaymak;Joao M. C. Sousa

  • Fuzzy decision making in modeling and control

    João M C Sousa;Uzay Kaymak

  • Clinical Decision Support Systems for Triage in the Emergency Department using Intelligent Systems: a Review.

    Marta P. B. Fernandes;Susana M. Vieira;Francisca Pais Leite;Carlos Palos

  • Fuzzy predictive control applied to an air-conditioning system

    J.M. Sousa;R. Babuška;H.B. Verbruggen

  • Missing data in medical databases: Impute, delete or classify?

    Federico Cismondi;André S. Fialho;Susana M. Vieira;Shane R. Reti

  • Genetic algorithms for optimization in predictive control

    C. Onnen;R. Babuška;U. Kaymak;J.M. Sousa

  • Classification of new electricity customers based on surveys and smart metering data

    Joaquim L. Viegas;Susana M. Vieira;R. Melício;R. Melício;V.M.F. Mendes;V.M.F. Mendes

  • Model predictive control using fuzzy decision functions

    J.M. da Costa Sousa;U. Kaymak

  • Data mining using clinical physiology at discharge to predict ICU readmissions

    A. S. Fialho;F. Cismondi;S. M. Vieira;S. R. Reti

  • Reducing unnecessary lab testing in the ICU with artificial intelligence

    Federico Cismondi;Federico Cismondi;Federico Cismondi;Leo A. Celi;André S. Fialho;André S. Fialho;André S. Fialho;Susana M. Vieira

  • Comparative assessment of low-complexity models to predict electricity consumption in an institutional building: Linear regression vs. fuzzy modeling vs. neural networks

    Henrique Pombeiro;Henrique Pombeiro;Rodolfo Santos;Paulo Carreira;Paulo Carreira;Carlos Silva

  • Distributed supply chain management using ant colony optimization

    C.A. Silva;J.M.C. Sousa;T.A. Runkler;J.M.G. Sá da Costa

  • Two cooperative ant colonies for feature selection using fuzzy models

    Susana M. Vieira;João M. C. Sousa;Thomas A. Runkler

  • An architecture for fault detection and isolation based on fuzzy methods

    L. F. Mendonça;J. M. C. Sousa;J. M. G. Sá da Costa

  • Rescheduling and optimization of logistic processes using GA and ACO

    C. A. Silva;J. M. C. Sousa;T. A. Runkler

  • Wasp Swarm Algorithm for Dynamic MAX-SAT Problems

    Pedro C. Pinto;Thomas A. Runkler;João M. Sousa

  • Fuzzy criteria for feature selection

    Susana M. Vieira;JoãO M. C. Sousa;Uzay Kaymak

  • Energy resolution of gamma-ray spectroscopy of JET plasmas with a LaBr3 scintillator detector and digital data acquisition.

    M. Nocente;M. Tardocchi;I. Chugunov;R. C. Pereira

  • Using a Local Discovery Ant Algorithm for Bayesian Network Structure Learning

    P.C. Pinto;A. Nagele;M. Dejori;T.A. Runkler

  • Decision tree search methods in fuzzy modeling and classification

    L. F. Mendonça;S. M. Vieira;J. M. C. Sousa

  • A Literature Survey on Open Platform Communications (OPC) Applied to Advanced Industrial Environments

    Isaías González;Antonio José Calderón;João Figueiredo;João M. C. Sousa

Frequent Co-Authors

Uzay Kaymak
Uzay Kaymak Eindhoven University of Technology
Carlos A. Silva
Carlos A. Silva University of Florida
João R. Correia
João R. Correia Instituto Superior Técnico
Robert Babuska
Robert Babuska Delft University of Technology
Ana Pombo
Ana Pombo Humboldt-Universität zu Berlin
Miguel Correia
Miguel Correia Instituto Superior Técnico
João Paulo Teixeira
João Paulo Teixeira University of Porto
Remco Dijkman
Remco Dijkman Eindhoven University of Technology
Thomas Keller
Thomas Keller École Polytechnique Fédérale de Lausanne

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