Professional Activities

Marley M. B. R. Vellasco

EDUCATION

  • PhD in Computer Science, University College London, 1992.
  • MSc in Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, 1987.
  • BSc in Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, 1985.
  • ACADEMIC POSITION

  • Associate Professor of Electrical Engineering Department, Pontifical Catholic University of Rio de Janeiro (PUC-Rio)
  • Head of the Electrical Engineering Department (PUC-Rio), from 2009 – 2018
  • Founder and Head of the Applied Computational Intelligence and Robotics Lab (LIRA), at PUC-Rio
  • EDITORIAL BOARD MEMBER

  • Member of the Editorial Board of Neural Networks, Elsevier, since January 2012;
  • Member of the Editorial Board of Evolving Systems Journal, Elsevier, since 2014;
  • Member of the Editorial Board of the International Journal of Innovative Computing and Applications - IJICA, since 2015.
  • Member of the Editorial Board of IEEE Systems Journal, since February 2017.
  • Member of the Editorial Scientific Committee of Revista de Ciência & Tecnologia), University of Cabo Verde, since May 2017.
  • Member of the Editorial Board of Mathematical and Computational Applications Journal, since November 2017.
  • Associate Editor of IEEE Transactions on Fuzzy Systems, since January 2019.
  • Contact:
    Department of Electrical Engineering Pontifical Catholic University of Rio de Janeiro (PUC-Rio)
    Rua Marquês de São Vicente, 225 – Gávea Rio de Janeiro – RJ, CEP: 22451-900, BRAZIL
    Tel: (+55 21) 3527-1630 / Fax: (+55 21) 3527-1232 / Mobile: (+55 21) 98181-4146
    Email: marley@ele.puc-rio.br

































    Lastest Publications

    An enhanced aircraft engine gas path diagnostic method based on upper and lower singleton type-2 fuzzy logic system

    Calderano, P.H.S. ; De Castro Ribeiro, Mateus Gheorgue ; Amaral, Renan P. F. ; Vellasco, M. M. B. R.; Tanscheit, R. ; Aguiar, E.P. - Journal of the Brazilian Society of Mechanical Sciences and Engineering (2019).

    Quantum-inspired evolutionary multi-objective fuzzy classifier with real and categorical representation

    Nunes, W. ; Vellasco, M. M. B. R. ; Tanscheit, R. - Journal of Intelligent & Fuzzy Systems (2019).

    Classifying Periodic Astrophysical Phenomena from non-survey optimized variable-cadence observational data

    McWhirter, P. R. ; Steele, I. ; Hussein, A. ; Al-Jumeily, D. ; Vellasco, M. M. B. R. - Expert Systems With Applications (2019).

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    Lastest Projects

    Light Energia S.A.- ANEEL – Edital 11/2011 – Atendente Virtual Inteligente

    Sensores Magnéticos de Alta Sensibilidade para Uso Clínico

    Projeto FINEP CHAMADA PÚBLICA MCTI/FINEP/AÇÃO TRANSVERSAL INFRAESTRUTURA DE PESQUISA EM UNIVERSIDADES COMUNITÁRIAS - 01/2013 - NIELS Núcleo de Instrumentação Eletrônica e Sensores.

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