Faculty Members

The PPCIC faculty is composed of fourteen research professors from the permanent staff. The staff is composed, for the most part, of professors of Computer Science to the headquarters unit of CEFET/RJ (Maracanã). The Program also has computer science professor from the Nova Iguaçu and Petrópolis campuses of CEFET/RJ. The professors of the permanent staff are presented below:

  1. Diego Barreto Haddad
    Line: Machine Learning and Optimization
    e-mail: diego.haddad at cefet-rj.br
     Lattes Google Scholar ResearcherID  Scopus
  2. Diego Nunes Brandão
    Line: Machine Learning and Optimization
    e-mail: diego.brandao at cefet-rj.br
     Lattes Google Scholar ResearcherID  Scopus
  3. Eduardo Bezerra da Silva
    Line: Machine Learning and Optimization
    e-mail: ebezerra at cefet-rj.br
     Lattes Google Scholar ResearcherID  Scopus
  4. Eduardo Soares Ogasawara 
    Line: Data Analysis and Applications
    e-mail: eogasawara at cefet-rj.br
     Lattes Google Scholar ResearcherID  Scopus
  5. Felipe da Rocha Henriques
    Linha: Data Analysis and Applications
    e-mail: felipe.henriques at cefet-rj.br
     Lattes Google Scholar ResearcherID  Scopus
  6. Gustavo Paiva Guedes
    Line: Data Analysis and Applications
    il: gustavo.guedes at cefet-rj.br
     Lattes Google Scholar ResearcherID  Scopus
  7. João Roberto de Toledo Quadros
    Line: Data Analysis and Applications
    e-mail: joao.quadros at cefet-rj.br
     Lattes Google Scholar ResearcherID  Scopus
  8. Joel André Ferreira dos Santos
    Line: Data Analysis and Applications
    e-mail: joel.santos at cefet-rj.br
     Lattes Google Scholar ResearcherID  Scopus
  9. Jorge de Abreu Soares
    Line: Data Analysis and Applications
    e-mail: jorge.soares at cefet-rj.br
     Lattes Google Scholar ResearcherID  Scopus
  10. Kele Teixeira Belloze
    Line: Data Analytics and Applications
    e-mail: kele.belloze at cefet-rj.br
     Lattes Google Scholar ResearcherID  Scopus
  11. Laura Silva de Assis
    Line: Machine Learning and Optimization
    e-mail: laura.assis at cefet-rj.br
     Lattes Google Scholar ResearcherID  Scopus
  12. Leonardo Silva de Lima
    Line: Machine Learning and Optimization
    e-mail: leonardo.lima at cefet-rj.br
     Lattes Google Scholar ResearcherID  Scopus
  13. Pedro Henrique González Silva
    Line: Machine Learning and Optimization
    e-mail: pegonzalez at eic.cefet-rj.br
     Lattes Google Scholar ResearcherID  Scopus
  14. Rafaelli de Carvalho Coutinho
    Line: Data Analysis and Applications
    e-mail: rafaelli.coutinho at cefet-rj.br
     Lattes Google Scholar ResearcherID  Scopus

The collaborator researchers are listed below:

  1. Douglas de Oliveira Cardoso
    Linha: Aprendizado de Máquina e Otimização
    e-mail: douglas.cardoso at cefet-rj.br
     Lattes Google Scholar ResearcherID  Scopus
  2. Glauco Fiorott Amorim
    Linha: Aprendizado de Máquina e Otimização
    e-mail: glauco.amorim at cefet-rj.br
     Lattes Google Scholar ResearcherID  Scopus

Accreditation and Re-accreditation Criteria

CEFET/RJ’s Resolution N 09/2016, which provides for the accreditation and re-accreditation of researchers in the Institution’s Post-Graduation Programs stricto sensu, establishes criteria for the three categories of accredited researchers: (i) permanent, (ii) collaborator, (iii) visitor, defined according to CAPES Ordinance No. 174 of December 30, 2014.

For accreditation purposes, the researcher must submit to the coordination of the Program the following documentation: (i) request for accreditation, (ii) curriculum Lattes and supporting documents, (iii) work plan containing planning of research and teaching activities to be developed by the researcher during the evaluation cycle of CAPES and (iv) term of commitment. Also, the research must meet the following conditions:

  • Meet the requirements established by the Program.
  • Have an academic profile compatible with the research lines of the Program, being desirable to have the coordination grant of projects financed by development agencies.
  • Have an accreditation application approved by the Program Collegiate and COPEP.

Notwithstanding the presence of these general criteria, in light of the Computer Science area document, additional requirements need to be included. In this way, PPCIC establishes additional requirements for accreditation and re-accreditation of professors, in its specific rules.