Eduardo F. Simas Filho

Eduardo F. Simas Filho Rua Piracema, 137/21 Salvador, Bahia, Brazil 41650 650 +55 71 981 038 851 eduardo.simas@ufba.br FORMAL EDUCATION / DEGREE Ph.D. in Electrical Engineering from Federal University of Rio de Janeiro, Brazil (2006-2010). Grantee of the National Council for Scientific and Technological Development, CNPq,Brazil. Title: Non-linear Independent Component Analysis for Online Event Selection based on High-Energy and Highly Segmented Calorimetry Information (original version in Portuguese). Advisors: José Manoel de Seixas e Luiz Pereira Calôba. Abstract: The ATLAS detector operates in the Large Hadron Collider (LHC) at the European Center for Nuclear Research (CERN). A huge amount of information (~60 TB/s) is generate in ATLAS but only a reduced part of it is relevant for the experiment. Considering this, an efficient online event selection system is required for proper operation of the detector. My Ph.D research investigated the application of non-linear independent component analysis to the ATLAS detector calorimeter information for efficient feature extraction. The independent components were used to feed an artificial neural network based online classification system. M.Sc. in Electrical Engineering from Federal University of Bahia, Brazil (2002-2004). Grantee of the Higher Education Personnel Training Coordination, CAPES, Brazil. Title: Monitoring of Voltage Regulators using Vibration Analysis and Intelligent Systems (original version in portuguese). Advisor: Antonio Cezar de Castro Lima. Abstract: On-load tap changers (OLTC) are electrical energy distribution equipment used to maintain the line voltage within acceptable levels. They are susceptible to different failure causes mainly due to the internal mechanical parts which are required to provide fast tap-changing whenever the input-output voltage ratio changes. It is very important for energy distribution companies to proper schedule the maintenance procedure of OLTCs and avoid equipment failures. In my M.Sc. research was designed and constructed the analog instrumentation required to acquire and Curriculum Vitae - Eduardo F. Simas Filho 1 / 7

digitalize vibration signals from OLTC. This digital information was used to feed an automatic decision support system which aimed to indicate the occurrence o eminent failures. Intelligent techniques such as genetic algorithms and self-organizing maps were applied in order to identify possible failure signatures. Electrical Engineering (B.Sc) Degree from Federal University of Bahia, Brazil (1996-2001). PROFESSIONAL EXPERIENCE Associate Professor, Electrical Engineering Program, Federal University of Bahia, Brazil (2011 - present) Main activities: Computer Engineering Undergraduate Program Coordinator (2014 - present); Member of the Electrical Engineering Graduate Program Coordination Board; graduate and undergraduate teaching. Teaching experience: - Statistical Signal Processing (Electrical Engineering Graduate Program) - Digital Signal Processing (Electrical Engineering Graduate Program) - Industrial Instrumentation (Control Systems Engineering Undergraduate Program) - Digital Signal Processing (Computer Engineering Undergraduate Program) - Digital Electronics (Electrical Engineering Undergraduate Program) - Power Electronics (Electrical Engineering Undergraduate Program) Professor, Federal Institute for Science, Education and Technology, Simões Filho, Brazil (2007-2011) Main activities: Electro-mechanicsTechnological (secondary level) Course Coordinator (2008-2009); undergraduate and secondary teaching. Teaching experience: - Analog Electronics - Power Electronics - Digital Electronics Engineer, OI Telecommunication Group, Rio de Janeiro, Brazil (2001-2002). Main activities: Design, specification and programming of telecommunication services. Curriculum Vitae - Eduardo F. Simas Filho 2 / 7

ONGOING RESEARCH PROJECTS Digital Signal Processing for Efficient Event Selection in ATLAS Detector at the LHC: this project aims to propose and test digital signal processing techniques (such as neural networks and latent variables analysis) to be used in the ATLAS detector. ATLAS is one of the main detectors of the Large Hadron Collider (LHC), at CERN. It is supported by the local (state) foundation for research support (FAPESB). This is part of the Brazilian ATLAS detector collaboration, which involves six Brazilian research institutes. High Performance Passive Sonar Systems: in a partnership with the Brazilian Navy Research Institute (IPqM) and the Federal University of Rio de Janeiro (UFRJ) this research project aims to investigate the application of signal processing techniques (such as latent variables analysis, support vector machines and deep learning) to the development of efficient detection and classification systems for passive sonar. It is supported by a national foundation (CAPES). Signal Processing for Non-destructive Testing Applications: this project has the purpose of investigate the use of latent variables analysis and intelligent classification systems for automatic detection and classification of flaws in materials and structures using nondestructive testing (NDT) techniques. Among the used NDT techniques there are ultrasound testing and pulse eddy currents. This work is a partnership with the Federal Institute for Science, Education and Technology (IFBA) and is supported by the local (state) foundation for research support (FAPESB). PUBLICATIONS IN INTERNATIONAL JOURNALS E. F. Simas Filho, J. Seixas. Unsupervised Statistical Learning Applied to Experimental High-Energy Physics and Related Areas. International Journal of Modern Physics C, v. 37, p. 1630002-16, 2016. E. F. Simas Filho, M. M. Silva Jr, P. C. M. A. Farias, M. C. S. Albuquerque, I. C. Silva, C. T. T. Farias, Flexible decision support system for ultrasound evaluation of fiber-metal laminates implemented in a DSP. NDT & E International, v. 79, p. 38-45, 2016. J. C. Anjos, E. F. Simas Filho, et al. Using Neutrinos to Monitor Nuclear Reactors: the Angra Neutrino Experiment, Simulation and Detector Status. Nuclear and Particle Physics Proceedings, v. 267-269, p. 108-115, 2015 E. F. Simas Filho, F. L. A. Pena, et al. Hands-on activities in experimental highenergy physics for attraction and motivation to engineering careers. International Journal of Electrical Engineering Education, v. 53, p. 72-86, 2015 E. F. Simas Filho,, M. C. S. Albuquerque, Y. Souza, J. L. S. Lopes, C. T. T. Farias Decision Support System for Ultrasound Inspection of Fiber Metal Laminates using Curriculum Vitae - Eduardo F. Simas Filho 3 / 7

Statistical Signal Processing and Neural Networks. Ultrasonics (Guildford), v. 53, p. 1104-1111, 2013. E. F. Simas Filho, J. Seixas, et al. Independent Component Analysis and Blind Signal Separation, Theory, Algorithms and Applications. Learning and Nonlinear Models, v. 10, p. 51-69, 2012. E. F. Simas Filho, J. Seixas and L. Caloba. Modified post-nonlinear ICA model for online neural discrimination. Neurocomputing, v. 73, p. 2820-2828, 2010. E. F. Simas Filho, J. Seixas, D. Lima and L. Caloba. Electron/Jet Neural Discrimination based on Nonlinear Independent Components for ATLAS Second- Level Trigger. Proceedings of Science, v. ACAT10, p. 1-7, 2010. E. F. Simas Filho, J. Seixas and L. Caloba. Optimized Calorimeter Signal Compaction for an Independent Component based ATLAS Electron/Jet Second- Level Trigger. Proceedings of Science, v. ACAT08, p. 1-10, 2009. N. Moura, E. Simas and J. Seixas. Narrow-band Short-Time Frequency-Domain Blind Signal Separation of Passive Sonar Signals. Lecture Notes in Computer Science, v. 5441, p. 686-693, 2009. E. F. Simas Filho, J. Seixas and L. Caloba. High-Energy Particles Online Discriminators Based on Nonlinear Independent Components. Lecture Notes in Computer Science, v. 5441, p. 718-725, 2009. E. F. Simas Filho, J. Seixas and L. Caloba. Self-organized mapping of calorimetry information for high efficient online electron/jet identification in ATLAS. Proceedings of Science, v. ACAT07, p. 1-13, 2007. E. F. Simas Filho and J. Seixas. Nonlinear Independent Component Analysis: Theoretical Review and Applications. Learning and Nonlinear Models, v. 5, p. 99-120, 2007. BOOK CHAPTERS R. Torres, E. Simas, D. Lima and J. Seixas. Segmented Online Neural Filtering based on Independent Components of Pre-Processed Information. In: Sebastian Miron. (Org.). Signal Processing. India: In-Tech, 2010, v. 1, p. 337-358. N. Moura, E. Simas and J. Seixas. Independent Component Analysis for Passive Sonar Signal Processing. In: Sergio Rui Silva. (Org.). Advances in Sonar Technology. 1 ed. Vienna, Austria: In-Tech, 2009, v. 1, p. 91-110. Curriculum Vitae - Eduardo F. Simas Filho 4 / 7

PUBLICATIONS IN INTERNATIONAL CONFERENCES L. Rodrigues, F. C. Cruz, E. F. Simas Filho, M. C. S. Albuquerque, I. C. Silva, C. T. T. Farias, Support Vector Machines Applied to the Identification of Carburized HP Steels Using Ultrasonic Non-Destructive Testing (accepted for publication). In: World Conference on Nondestructive Testing, 2016, Munchen, Germany. v. 1. p. 1-8. Silva Junior, M. M. ; Cruz, F. C. ; Farias, P. C. M. A. ; Simas Filho, E. F. ; Albuquerque, M. C. S. ; Silva, I. C. ; Farias, C. T. T.. Neural Decision Support System for Ultrasound Nondestructive Evaluation Embedded in a DSP. In: IEEE International Instrumentation and Measurement Technology Conference, 2015, Pisa, Italy. v. 1. p. 393-398. Araujo, V. V. ; Hernandez, R. A. ; Simas Filho, E. F. ; Oliveira, A. ; Oliveira, W. L. A. Dedicated Hardware Implementation of a High Precision Power Quality Meter. In: IEEE International Instrumentation and Measurement Technology Conference, 2015, Pisa, Italy., v. 1. p. 416-421. Chimenti, P.; E. F. Simas Filho, Et Al. Status of the Angra Neutrino Project. In: International Workshop on Neutrino Factories and Future Neutrino Experiments, 2015, Rio de Janeiro, Brazil, v. 1. p. 1-6. Cruz, F. C. ; Simas Filho, E. F. ; Albuquerque, M. C. S. ; Farias, C. T. T.. Efficient Feature Extraction for an Automatic Ultrasound Testing Decision Support System. In: IEEE International Instrumentation and Measurement Technology Conference, 2014, Montevideo, Uruguay.. v. 1. p. 1279-1284. Oliveira, K. F. ; Silva, G. ; Silva Junior, M. M. ; Farias, P. C. M. A. ; Simas Filho, E. F.. Neutrinos-Angra Detector Slow-Control Module Design and Implementation Status. In: IEEE International Instrumentation and Measurement Technology Conference, 2014, Montevideo, Uruguay. v. 1. p. 1031-1035. Farias, C. T. T. ; Santos, Y. T. B. ; Zanini, D. ; Coelho, R. ; Simas Filho, E. F. ; Silva, I.. Influence of Deleterious Phases in Super-Duplex Steel SAF 2507 in the Ultrasonic Lamb Waves Propagation. In: European Conference on Non- Destructive Testing, 2014, Praga, Czech Republic v. 1. p. 1-8. I. Souza, M. C. S. Albuquerque, E. F. Simas Filho and C. T. T. Farias. Signal Processing Techniques for Ultrasound Automatic Identification of Flaws in Steel Welded Joints a Comparative Analysis. In: World Conference on Nondestructive Testing, 2012, Durban, South Africa, v. 1. p. 1-9. C. Farias, E. Simas, Y. Santos, A. Oliveira and I. Ribeiro. Spectral Analysis of the propagation of Lamb Waves on Fiber-Metal Laminated Plates (FML) to detect and evaluate different kinds of defects. In: World Conference on Nondestructive Testing, 2012, Durban, South Africa, v. 1, p. 1-10. Curriculum Vitae - Eduardo F. Simas Filho 5 / 7

C. Farias, E. F. Simas Filho, et al. A Study on the Propagation of Lamb Waves in Aluminium Sheets. In: Pan American Conference for Nondestructive Testing, 2011, Cancun, Mexico, v. 1. p. 1-8. E. F. Simas Filho, D. Haddad and L. Almeida. Thermal Hysteresis Characterization Through Blind Deconvolution. In: International Conference on Systems, Signals and Image Processing, Rio de Janeiro, Brazil, 2010. v. 1. p. 352-355. R. Torres, D. Lima, E. F. Simas Filho and J. Seixas. Neural Online Filtering Based on Preprocessed Calorimeter Data. In: IEEE Nuclear Science Symposium and Medical Imaging Conference, Orlando-US, 2009. p. 530-536. E. F. Simas Filho, J. Seixas and L. Caloba. Local Independent Component Analysis Applied to Highly Segmented Detectors. In: IEEE International Symposium on Circuits and Systems, Seatle-US, 2008, v. 1. p. 3005-3008. E. F. Simas Filho and L. Almeida. Self-Organized Classification of On-Load Tap Changers Acoustic Signatures In: IEEE International Instrumentation and Measurement Technology Conference, Vancouver, Canada, 2008. p. 1051-1056. E. F. Simas Filho, J. Seixas and L. Caloba. Segmented Self-Organized Feature Extraction for Online Filtering in a High Event Rate Detector. In: European Signal Processing Conference, Lausanne, Switzerland, 2008, p. 1-5. E. F. Simas Filho, J. Seixas and L. Caloba. Online Neural Filtering Operating Over Segmented Discriminating Components. In: IEEE International Conference on Electronics, Circuits and Systems, 2008, Malta, v. 1. p. 530-533. E. F. Simas Filho and L. Almeida. Time delay neural network applied for compensation of temperature sensors nonlinear dynamics on hysteresis measurements. In: International Conference on Intelligent Systems Design and Applications, Rio de Janeiro, Brazil, 2007. v. 1. p. 653-658. E. F. Simas Filho, J. Seixas and L. Caloba. Segmented Independent Component Analysis for online filtering using highly segmented detectors. In: International Conference on Intelligent Systems Design and Applications, Rio de Janeiro, Brazil, 2007. v. 1. p. 659-664. E. F. Simas Filho, A. Lima and L. Almeida. Vibration Monitoring of On-Load Tap Changers Using a Genetic Algorithm. In: IEEE Instrumentation and Measurement Technology Conference, Ontario, Canada, 2005. p. 2288-2293. SCIENTIFIC JOURNAL REFEREE Journal of Control, Automation and Electrical Systems Learning and Nonlinear Models Ultrasonics (Guildford) Curriculum Vitae - Eduardo F. Simas Filho 6 / 7

LANGUAGES English: Comprehends Well, Speaks Well, Reads Well, Writes Well Spanish: Comprehends Well, Speaks Well, Reads Well, Writes Reasonably Portuguese: Comprehends Well, Speaks Well, Reads Well, Writes Well (native language) AWARDS AND TITLES Second place on the Brazilian Conference on Computational Intelligence (CBIC - 2013) Best Paper Contest ACADEMIC ADVISORY (M.SC. ELECTRICAL ENGINEERING) - Anderson Damacena Santos. Passive Sonar System Simulator. (2015 - present). - Igo Amauri Luz. Embedded System for Pileup Reduction in Energy Measurement Signals from a Highly Segmented Particle Detector. (2014 - present) - Linton Thiago Costa Esteves. Contribution to the Online Muon Selector Digital System based on Calorimetry Information. (2014 - present) - João Marcelo Silva Souza. Design and Implementation of the Online Event Selection system for the Angra Neutrinos Experiment. (2014 - present) - Raphael Melo de Amorim. Evaluating the Influence of Additive Noise in Blind Separation of Passive Sonar Signals. (2013 - present). - Edmar Egidio Purcino de Souza. Efficient Signal Pre-Processing for an Online Classification System based on Neural Networks. (2012-2015). - Manoel Messias Silva Júnior. Decision Support System for Ultrasound Evaluation Embedded in a Digital Signal Processor. (2013-2015). Victor Valente de Araújo. Integrated Circuit for Power Quality Measurements. (2014-2015). - Ademário José de Carvalho Neto. Embedded System for Torque Estimation in Three-Phase Induction Motors. (2013-2015). - Fabio da Conceição Cruz. Efficient Features Selection for a Neural Network based Decision Support system for Ultrasound Nondestructive Testing. (2012-2014) Curriculum Vitae - Eduardo F. Simas Filho 7 / 7