Dr. Erivelton Geraldo Nepomuceno Department of Electrical Engineering Federal University of São João del-rei, Brazil Brief Curriculum General Data Name: Place of birth: Nationality: Email: Homepage: Address: Phone: Erivelton Geraldo Nepomuceno São João del-rei, Minas Gerais, Brazil Brazilian nepomuceno@ufsj.edu.br http://www.ufsj.edu.br/nepomuceno Department of Electrical Engineering Federal University of São João del-rei Praça Frei Orlando, 170 - Centro 36307-352 - São João del-rei - Brazil +55 032 33792367 or +55 032 84376181 (Mobile) São João del-rei, 4th March 2015.
1 Education 1. Posdoctorate at Imperial College London (2013-2014) Advisor: Prof. Erol Gelenbe 2. Doctorate in Electric Engineering (2002-2005) Federal University of Minas Gerais Title: Dynamics, Modelling and Control of Epidemics Advisors: Luis Antonio Aguirre and Ricardo Hiroshi Caldeira Takahashi Scholarship from : CAPES Superior 3. Visiting Researcher (2005) Aeronautical Institute of Technology Advisor: Takashi Yoneyama 4. Master s in Electric Engineering (2001-2002) Federal University of Minas Gerais Title: Dynamics, Modelling and Control of Epidemics Advisors: Ricardo Hiroshi Caldeira Takahashi and Luis Antonio Aguirre Scholarship from : CAPES 5. Bachelor s in Electrical Engineering (1996-2001) Federal University of São João del-rei 2 Research Areas 1. Analysis and Modelling of Systems 2. Analysis of nonlinear dynamic systems for description and validation. 3. Development models for systems and processes in general and control applications. 4. Use of non-linear representations: NARMAX, RNN (Random Neural Networks) and model based on individuals (MBI). Application of and stochastic multiobjective optimization in system identification. 5) Systems of interest: electronics, mechatronics; electric power; electromagnetic, biological, economic, social and epidemiological. 2
5. From 2014, emphasis has been given to the mathematical rigor with which models are simulated, identified and validated. To this has been used mathematical analysis tools and understanding of how the numbers are encoded in the computer through the IEEE- 745 standard. See: Nepomuceno, E. G. Convergence of recursive functions on computers. The Journal of Engineering, Institution of Engineering and Technology, 2014, 1-3 (doi) 3 International Experience 1. Complex Systems Summer School (2001) Central European University And Santa Fe Institute, CEU-SFI, Hungary Scholarship from : Soros Foundation 2. Continuing Education in Intelligent Curriculum Development. University of Huddersfield, UK Scholarship from : University of Huddersfield 4 Selected Publications 1. NEPOMUCENO, E. G.. Convergence of recursive functions on computers. The Journal of Engineering, v. 1, p. 1-3, 2014. 2. RIVERET, REGIS, ARTIKIS, ALEXANDER, PITT, JEREMY, NEPOMUCENO, ERIV- ELTON G. Self-Governance by Transfiguration: From Learning to Prescription Changes In: 2014 IEEE 8th International Conference on SelfAdaptive and SelfOrganizing Systems (SASO), 2014, London. 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems. IEEE, 2014. p.70 3. NEPOMUCENO, E. G.. Multiobjective learning in the random neural network. International Journal of Advanced Intelligence Paradigms, v. 6, p. 66-80, 2014. 4. NEPOMUCENO, E. G.Structure Optimization of the Recurrent Random Neural Network In: XX Congresso Brasileiro de Automática, 2014, Belo Horizonte. Anais do XX Congresso Brasileiro de Automática., 2014. 3
5. MARTINS, SAMIR ANGELO MILANI, BARBOSA, A. M., NEPOMUCENO, E. G. Determinação do Número de Termos de Modelos Polinomiais: O Critério de Informação de Akaike Multiobjetivo In: XI Simpósio Brasileiro de Automação Inteligente, 2013, Fortaleza. Anais do XI Simpósio Brasileiro de Automação Inteligente., 2013. 6. MACEDO-VITOR, A. D., Moraes, E. K. A. L., NEPOMUCENO, E. G. Modelos Compartimentais Investigados por Processos Estocásticos In: XI Simpósio Brasileiro de Automação Inteligente, 2013, Fortaleza. Anais do XI Simpósio Brasileiro de Automação Inteligente., 2013. 7. BARBOSA, A. M. ; NEPOMUCENO, E. G. ; BARROSO, M. F. S. ; PERILO, T. V. C. ; CASAS, E. B. L.. Automation of the process for accessing lip forces. Journal of the Brazilian Society of Mechanical Sciences and Engineering (Impresso), p. 1-9, 2014. 8. MARTINS, SAMIR ANGELO MILANI ; NEPOMUCENO, E. G. ; BARROSO, M. F. S.. Improved Structure Detection For Polynomial NARX Models Using a Multiobjective Error Reduction Ratio. Journal of Control, Automation and Electrical Systems, v. 24, p. 764-772, 2013. 9. TELES, F. ; QUEIROZ E MELO, M. F. A ; NEPOMUCENO, E. G.. Reflexões Sobre a Utilização de um Videogame Multiplayer para Investigar o Fenômeno da Cooperação em Psicologia Social. Pesquisas e Práticas Psicossociais, v. 6, p. 287-297, 2012. 10. LACERDA, M. J., TEIXEIRA, W. W. M., NEPOMUCENO, E. G. Agents allocation for control of epidemics by means genetic algorithm (in Portuguese). Biomatemática (UNICAMP)., v.20, p.79-92, 2010. 11. SILVA, L. F. P. ; LEITE, V. J. S. ; MIRANDA, M. F. ; NEPOMUCENO, E. G.. Robust D-stabilization with minimization of the H-infinity guaranteed cost for uncertain discretetime systems with multiple delays in the state. Atlanta - USA. Proceedings of 49th IEEE Conference on Decision and Control, 2010. p. 1-7. 12. VIEIRA, J. P. ; LACERDA, M. J. ; MARTINS, S. A. M. ; NEPOMUCENO, E. G. ; CAETANO, S. M.. Individual Based Models applied for Computer Virus Propagations: A Case Study for heterogeneous meta-populations (in Portuguese). In: XVIII Congresso Brasileiro de Automática, 2010, Bonito - MS. 1446-1453. 4
13. MARTINS, S. A. M., BRAGA, D. C. S., NEPOMUCENO, E. G., GOMES, T. V., REIS, M. L. F. Investigation of static curve information for multiobjective system identification. Journal of Computational Interdisciplinary Sciences. v.1, p.149-157, 2009. 14. TELES, F., QUEIROZ E MELO, M. F. A, NEPOMUCENO, E. G. Interdisciplinarity in Focus: Possibilities in a Prey-Predator Dynamics. Dynamics of Continuous, Discrete and Impulsive Systems. B, Applications and Algorithms., v.14, p.598-602, 2007. 15. NEPOMUCENO, E. G., TAKAHASHI, R. H. C., AGUIRRE, L. A. Multiobjective parameter estimation for nonlinear systems: Affine information and least-squares formulation. International Journal of Control, v.80, p.863-871, 2007 16. NEPOMUCENO, E. G., TAKAHASHI, R. H. C., AMARAL, G. F. V., AGUIRRE, L. A. Nonlinear Identification Using Prior Knowledge of Fixed Points: a Multiobjective Approach. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, v.13, p.1229-1246, 2003. Observation: Total: 16 papers in journals and 91 papers in conferences. 5 Supervision 1. Undergraduate: supervised 71 projects. 2. Graduate: (co)supervised 14 students on Master Degree.. 6 Academic Administration 1. Member of Brazilian Society of Automatica 2. Coordinator of Electrical Engineering Course (2006-2008) 3. Coordinator of Master Course Program at Electrical Engineering (2008-2012) 4. Director of Technological Division of Federal University of São João del-rei (2008-2012) 5. General coordinator of X Brazilian Symposium of Intelligent Automation (SBAI 2012). 5
7 Full CV A full version of this curriculum can be reached in. 6