Faculdade de Tecnologia Unicamp
Limeira - São Paulo
gradvohl@ft.unicamp.br

ANDRÉ LEON SAMPAIO GRADVOHL

Associate Professor - MS 5.2

Portfolio

MY WORK
Curriculum Publications Research Outreach Teaching Awards

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  • Papers in Scientific Journals
  • GRIM, L. F. L.; GRADVOHL, A. L. S. Solar Flare Forecasting Based on Magnetogram Sequences Learning with Multiscale Vision Transformers and Data Augmentation Techniques. Solar Physics, v. 299, p. 33, 2024.
  • MARCHI, F. C.; GRADVOHL, A. L. S.  Studies on indoor positioning algorithms using BLE Beacons REVISTA BRASILEIRA DE COMPUTAÇÃO APLICADA, v. 15, n.3 p. 106-114, 2023.
  • SHIRASUNA, V. Y.; GRADVOHL, A. L. S. An optimized training approach for meteor detection with an attention mechanism to improve robustness on limited data. Astronomy and Computing, v. 45, p. 100753, 2023.
  • CAVALLARO, V. C. S.; SPIANDORELLO, S. C.; GRADVOHL, A. L. S. Analysis of the Digital Transformation in the Bragantine Region. Revista Gestão e Tecnologia, v. 23, p. 57-80, 2023.
  • RIBEIRO, F.; GRADVOHL, A. L. S. Machine learning techniques applied to solar flaresforecasting. Astronomy and Computing, v. 35. 2021.
  • SILVEIRA, M. F.; GRADVOHL, A. L. S. Security analysis of the message queuing telemetry transport protocol. REVISTA BRASILEIRA DE COMPUTAÇÃO APLICADA, v. 13, p. 83-95, 2021
  • CINTO, T.; GRADVOHL, A. L. S. ; COELHO, GUILHERME P. ; SILVA, A. E. A. . A Framework for Designing and Evaluating Solar Flare Forecasting Systems. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, v. 495, p. 3332-3349, 2020.
  • CINTO, T.; GRADVOHL, A. L. S.; COELHO, G. P.; SILVA, A. E. A. Solar Flare Forecasting Using Time Series and Extreme Gradient Boosting Ensembles. SOLAR PHYSICS, v. 295, p. 93, 2020.
  • OLIVEIRA, L. S.; GRADVOHL, A. L. S. Automatic analysis of magnetograms for identification and classification of active regions using Deep Learning. REVISTA BRASILEIRA DE COMPUTAÇÃO APLICADA, v. 12, p. 67-79, 2020.
  • DE MORAES, M. B.; GRADVOHL, A. L. S. Evaluating the impact of a coordinated checkpointing in distributed data streams processing systems using discrete event simulation. REVISTA BRASILEIRA DE COMPUTAÇÃO APLICADA, v. 12, p. 16-27, 2020.
  • DE MORAES, M. B.; GRADVOHL, A. L. S. MOAFS: A Massive Online Analysis library for feature selection in data streams. Journal of Open Source Software, v. 5, p. 1970, 2020.
  • PEREIRA, J. F.; SILVA, A. E. A.; GRADVOHL, A. L. S.; COELHO, G. P.; CECATTO, J. R. A Study of The Relationship Among Parameters of M/X Solar Flares via Association Rules. International Journal of Artificial Intelligence and Expert Systems, v. 8, p. 63-77, 2019.
  • GRIM, L. F. L.; BARAJAS, J. A. B.; GRADVOHL, A. L. S. Implementações paralelas para o algoritmo Online Sequential Extreme Learning Machine aplicado à previsão de material particulado. Revista Brasileira de Computação Aplicada, v. 11, p. 13-21, 2019.
  • GRAVENA, F. M.; MAGOSSI, M. V.; GRADVOHL, A. L. S. Pesquisa de softwares para apoio à aprendizagem de Arquitetura e Organização de Computadores em cursos de graduação. Perspectivas em Ciências Tecnológicas, v. 5, p. 122-132, 2016.
  • ZAMBON, A. C.; SILVA, A. E. A.; BAIOCO, G. B.; GRADVOHL, A. L. S.; NUNES, P. I. G. Obsolescência Acelerada De Produtos Tecnológicos e os Impactos na Sustentabilidade da Produção. RAM. Revista de Administração Mackenzie (Online), v. 16, p. 231-258, 2015.
  • GRADVOHL, A. L. S. Comparação Brasil-França à luz de indicadores de Ciência e Tecnologia selecionados. Passages de Paris (APEB-Fr), v.9, 2015.
  • GRADVOHL, A. L. S. Sensoriamento participativo para determinação de prioridades no atendimento de vítimas de desastres naturais. Passages de Paris (APEB-Fr), v. 9, 2015.
  • GRADVOHL, A. L. S.; SENGER, H.; ARANTES, L.; SENS, P. Comparing Distributed Online Stream Processing Systems Considering Fault Tolerance Issues. Journal of Emerging Technologies in Web Intelligence, v. 6, p. 174-179, 2014.
  • GRADVOHL, A. L. S. Metalanguage for high-performance computing on hybrid architectures. IEEE Latin American Transactions, v. 12, p. 1162-1168, 2014.
  • ANDRIJAUSKAS, F.; GRADVOHL, A. L. S. Gaspra - software for astronomical image processing in high-performance computing clusters. Revista Brasileira de Computação Aplicada, v. 6., n.2, p. 87-97, 2014.
  • SANTOS, J. J.; IANO, Y.; GRADVOHL, A. L. S. A novel blocking effect reduction method based on human visual system features. Revista Ciência e Tecnologia, v. 14, p. 37-50, 2011.
  • GRADVOHL, A. L. S.; IANO, Y. Matching Interactive TV and Hypervideo. IEEE Latin America, v. 5, p. 579-584, 2007.
  • GRADVOHL, A. L. S.; IANO, Y. TV Interativa Baseada na Inclusão de Informações Hipermídia em Vídeos. Revista Ciência e Tecnologia, v. 8, p. 7-21, 2005.
  • Books
  • GRADVOHL, A. L. S. A Pesquisa na Nuvem: Ferramentas na internet para organizar e produzir seu trabalho acadêmico. 1. ed. Düsseldorf: Novas Edições Acadêmicas, 2017. v. 1. 104p. ISSN: 9786202042826.
  • GRADVOHL, A. L. S. TV Interativa Baseada na Inclusão de Informações Hipermídia em Vídeos no Padrão MPEG. 1. ed. Saarbrücken: Novas Edições Acadêmicas, 2016. v. 1. 128 p. ISSN: 978-3-8417-2506-6.
  • Book Chapters
  • GRADVOHL, A. L. S. Infraestrutura para computação científica de alto desempenho: dos agrupamentos às grades computacionais. In: Patrícia Ligabó Murarolli; Márcio Tadeu Girotti. (Org.). Inovações Tecnológicas nas Perspectivas Computacionais. 1 ed. São Paulo: Biblioteca 24 horas, 2015, v. 1, p. 6-14. ISSN: 978-85-4160-938-8.
  • GRADVOHL, A. L. S. A velocidade do conhecimento. In: Paula Cabral. (Org.). Como manter o melhor dos 30. 1 ed. São Paulo: Matrix, 2010, v. 1, p. 11-17. ISSN: 8563536192.
  • Articles in Newspapers/Magazines
  • GRADVOHL, A. L. S. Space Weather and the Impact of Solar Phenomena on Human Activities. IEEE Transmitter. 9 jun. 2017.
  • GRADVOHL, A. L. S. Supercomputing and virtualization. Revista InfraMagazine, p. 65 - 69, 13 jun. 2012.
  • GRADVOHL, A. L. S. High Availability Management for IT Services. Revista InfraMagazine, São Paulo, 02 abr. 2012.
  • GRADVOHL, A. L. S. High availability and disaster recovery: the continuity of IT services in case of failure. Revista InfraMagazine, São Paulo, v. 4, 02 jan. 2012.
  • GRADVOHL, A. L. S. The flirtation between astronomy and science fiction. ComCiência (UNICAMP), Campinas-SP, v. 112, 10 out. 2009.
  • GRADVOHL, A. L. S. Digital Convergence: integrated media. ComCiência (UNICAMP), Campinas, v. 110, 10 ago. 2009.
  • Complete works published in conferences proceedings
  • GRADVOHL, A. L. S. Boosting the Engagement of Undergraduate Students in the Class Activities through Gamification. In: Inovações Curriculares, 2019, Campinas. Inovações Curriculares 2017. Campinas: Editora da Unicamp, 2017. v. 1. p. 24-28.
  • SAMPAIO GRADVOHL, ANDRE LEON. Metrics and Tool for Evaluating Data Stream Processing Systems. In: 2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), 2018, Barcelona. 2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), 2018. p. 48-55.
  • L. GRIM, LUIS FERNANDO ; GRADVOHL, ANDRE LEON S. High-Performance Ensembles of Online Sequential Extreme Learning Machine for Regression and Time Series Forecasting. In: 2018 30th International Symposium on Computer Architecture and High Performance Computing (SBACPAD), 2018, Lyon. 2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2018. p. 394-401.
  • MORAES, M. B. ; GRADVOHL, A. L. S. Performance Evaluation of Feature Selection Algorithms Applied to Online Learning in Concept Drift Environments. In: XV Encontro Nacional de Inteligência Artificial e Computacional, 2018, São Paulo. Encontro Nacional de Inteligência Artificial e Computacional, 2018. p. 449-460.
  • BUENO, M. C. ; PALERMO COELHO, GUILHERME ; Silva, A. E. A. ; GRADVOHL, A. L. S. . Evaluating the Impact of Pre-clustering and Class Imbalance on Solar Flare Forecasting. In: XV Encontro Nacional de Inteligência Artificial e Computacional, 2018, São Paulo. Anais do XV Encontro Nacional de Inteligência Artificial e Computacional, 2018. p. 485-494.
  • CALDANA, I; da SILVA, A. E. A.; COELHO, G. P.; GRADVOHL, A. L. S. Using X-Ray Flux Time Series for Solar Explosion Forecasting. In: 2017 Brazilian Conference on Intelligent Systems (BRACIS). p. 204-209.
  • QUEIROZ, M. D.; GRADVOHL, A. L. S. Estudo do mecanismo de descoberta de vizinhança do IPv6 para a realização do ataque man in the middle. In: Workshop de Trabalhos de Iniciação Científica e de Graduação. XVII Simpósio Brasileiro em Segurança da Informação e de Sistemas Computacionais (SBSeg), 2017
  • BISCAIA, M. N. et al. Utilização de ambiente de alto desempenho para simulação de sistemas de comunicação utilizando linguagem JAVA. In: XIII Encontro Anual de Computação. Catalão: Universidade Federal de Goiás, 2017.
  • GRADVOHL, A. L. S. Investigating Metrics to Build a Benchmark Tool for Complex Event Processing Systems. In: 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), 2016, Vienna. 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW). p. 143-147.
  • GRADVOHL, A. L. S. Jornalismo Científico como ferramenta para o ensino de Ciência, Tecnologia e Sociedade para estudantes de graduação em Tecnologia. In: Inovações Curriculares, 2016, Campinas. V Seminário Inovações em Atividades Curriculares. Campinas: FE/UNICAMP, 2015. v. 1. p. 44-56.
  • ANDRIJAUSKAS, F.; GRADVOHL, A. L. S. Solar filaments detection using parallel programming in hybrid architectures, 2012, Delft. Proceedings of the 2012 workshop on High-Performance Computing for Astronomy Date - Astro-HPC’12. New York: ACM Press. v. 1. p. 41-48.
  • GRADVOHL, A. L. S.; IANO, Y., 2004, Reading. IEEE International Symposium on Consumer Electronics 2004. Reading: IEEE, 2004. v. 1. p. 25-30.
  • ALMEIDA, F. A.; GRADVOHL, A. L. S.; MENEGHETTI, L., 1998, Los Angeles. Human Factors in Computing Systems. Los Angeles: Addison Wesley, 1998. p. 384.
  • Expanded Summary published in conferences proceedings
  • BISCAIA, M. N. ; RUNGE, C. J. R. ; ANGELIS, A. F. ; GRADVOHL, A. L. S. . Utilização de ambiente de alto desempenho para simulação de sistemas de comunicação utilizando linguagem Java. In: Encontro Anual de Computação, 2017, Catalão. XIII Encontro Anual de Computação. Catalão: Universidade Federal de Uberlândia, 2017. p. 100-106.
  • OLIVEIRA, F.; GRADVOHL, A. L. S. Estudos sobre a medição do desempenho de sistemas de processamento de fluxos de dados. In: 7ª Escola Regional de Alto Desempenho em São Paulo, 2016, São Paulo. 7ª Escola Regional de Alto Desempenho, 2016.
  • GRADVOHL, A. L. S. Metalanguage for high performance computing on hybrid architectures, 2013, Florianópolis. Computer on the Beach 2013. Florianópolis, 2013. p. 279-281.
  • MORAES, M. B.; GRADVOHL, A. L. S. Feasibility of the Python programming language to develop HPC applications, 2013, São Carlos. Anais da IV Escola Regional de Alto Desempenho de São Paulo. São Carlos, 2013. v. 1. p. 147-150.
  • TOITO, V. R. N.; GRADVOHL, A. L. S. Parallelization of the k-medoids algorithm for weak signals clustering, 2013, São Carlos. Anais da IV Escola Regional de Alto Desempenho de São Paulo. São Carlos, 2013. p. 94-97.
  • FREITAS JR., L. C.; GOMES, J. R. P.; GRADVOHL, A. L. S. Scientific competitions: Projects that transcend classes. Recife. Proceedings of XXXVII Brazilian Congress in Engineering Education, 2009.
  • GRADVOHL, A. L. S. Free software to build for high performance computing grids. 2008, Porto Alegre. Anais do IX Workshop de Software Livre, 2008.
  • Summary published in conferences proceedings
  • MAGOSSI, M. V.; GRADVOHL, A. L. S. Dynamic activities for fixing concepts of Computer Architecture and Organization undergraduate classes. In: XXIV Congresso de Iniciação Científica da UNICAMP 2016, 2016. v. 2.
  • GRAVENA, F. M.; GRADVOHL, A. L. S. Prospecting and proposing interactive activities for learning the concepts of Computer Organization and Architecture undergraduate class. In: XXIV Congresso de Iniciação Científica da UNICAMP 2016, 2016. v. 2.
  • SANTOS, V. M.; GRADVOHL, A. L. S. Feasibility of the SunPy environment for analyzing solar data using Python. In: XXIV Congresso de Iniciação Científica da UNICAMP 2016, 2016. v. 2.
  • GUIMARÃES, T. D.; GRADVOHL, A. L. S. High performance computing applied to mathematical modeling, 2012, Campinas. Caderno de Resumos do XX Congresso Interno de Iniciação Científica da UNICAMP. Campinas: Editora da Unicamp, 2012. v. 1. p. 459-459.
  • ANDRIJAUSKAS, F.; GRADVOHL, A. L. S. Treatment of astronomical images using high performance processing architectures, 2011, São José dos Campos. II Escola Regional de Alto Desempenho de São Paulo, 2011.
  • Presentations of Works
  • GRADVOHL, A. L. S. Astronomy and High Performance Computing: digital convergences. 2013. (Presentation/Conference or Colloquium).
  • ANDRIJAUSKAS, F.; GRADVOHL, A. L. S. Solar filament detection using parallel programming in hybrid architectures. 2012. (Presentation/Symposium).
  • GRADVOHL, A. L. S. E-science + Free Source = Open Science. 2011. (Presentation/Conference or Colloquium).
  • Patented or Registered Software
    GRADVOHL, A. L. S. B2-4CEP - Benchmark Tool for Complex Event Processing system. 2016. Software Program. Register number: BR 51 2016 001623 0.
  • ANDRIJAUSKAS, F.; GRADVOHL, A. L. S. Gaspra - Gerador de experimentos para imagens astronômicas. 2013. Software Program. Register number: BR 51 2013 000117 0.
  • ANDRIJAUSKAS, F.; GRADVOHL, A. L. S. Astronomus. 2012. Software Program. Register number: 13168-3.
  • Other Kinds of Technical Production
  • GRADVOHL, A. L. S.; Coluci, V. R. Introduction to High Performance Computing. 2011. (Short Course Taught/Extension).
  • GRADVOHL, A. L. S. OpenMP. 2010. (Short Course Taught/Other).
  • Multi-dimensional analysis of online data stream processing systems -- 2015-2017
  • Granted by São Paulo Research Foundation (FAPESP)
  • This project will develop studies to establish metrics for performance analysis of these systems and propose strategies to increase the availability and fault tolerance in components of such systems, without much sacrifice in their performance. One of the expected results is the creation of a benchmark system that will serve as a tool to analyze the behavior of online data stream processing systems in a controlled environment.
  • Fault tolerance and high availability in distributed online stream processing systems -- 2013-2014
  • Granted by Coordination for the Improvement of Higher Education Personnel (CAPES)
  • This project aims at establishing metrics for performance analysis of Complex Event Processing systems, and propose strategies to increase the high availability and fault tolerance of the components in these systems, without sacrificing much performance.
  • Metalanguage for high performance computing in hybrid architectures -- 2011-2013
  • Granted by São Paulo Research Foundation (FAPESP)
  • This research project proposes the specification of a metalanguage and a pre-compiler software to develop applications that require high performance computing in hybrid architectures. The metalanguage proposed consists of annotations which can be embedded in the source code of programs written in a particular high level programming language. Translated by the pre-compiler, the annotations embedded in the source code generate a new code that embeds calls for application programming interfaces (APIs) which uses MPI, OpenMP or Pthreads.
  • Application of high performance computing in interdisciplinary problems -- 2010-2011
  • Granted by University of Campinas
  • This research project aims at using High-Performance Computing to solve some interdisciplinary problems such as materials science, environment, and others.
  • Distinguished Visitor Program
  • IEEE DVP Request
  • The Convergence between Computing and Astronomy: The Case of the Space Weather Forecasting
  • Many phenomena occurring in the Sun have an impact on strategic services on Earth. It affects telecommunications, power transmission and even some flight routes that cross the poles. We call this space weather, the repercussion of solar phenomena on our planet. The effects of space weather should be mitigated, thus they do not affect our day-to-day life. The information needed to perform this mitigation of effects must come from mechanisms for forecasting the Sun's behavior. In this presentation, we will discuss the main effects of Space Weather and the research efforts that have been made to improve these predictions. Particularly, we will present the main techniques used to forecast the main solar phenomena behaviors, including Data Mining and Deep Learning algorithms. In the end of the talk, we will present other research in the field of astronomy, where computation presents itself as a very useful tool.
  • Technologies, Research and Challenges for Distributed Systems for Data Stream Processing
  • With so many devices and sensors providing data for processing, we need software for data stream processing in real time. A Data Stream Processing (DaSP) system is characterized by handling huge, fast and high-throughput data streams. The systems that perform the processing of these data streams in a centralized, monolithic system are impracticable. In this way, distributed DaSP systems are a viable possibility. However, distributed DaSP systems also bring with them some challenges that need to be overcome. For example, these systems must tolerate failures and adapt to changes in the characteristics of data streams in real time. In addition, these systems must consume computing resources efficiently, without waste or overload. This presentation will discuss some theoretical and practical aspects for the implementation of DaSP, including some mechanisms for fault tolerance and elasticity in the cloud, necessary for these systems.
  • The Research in the Cloud: Tools on the Internet to Organize and Produce your Academic Work
  • Scientific research is an activity strongly based on a rigorous and well-defined method. The scientific method upon which all science is based, when properly applied, ensures that procedures can be repeated and the results obtained will be the same. However, in order to perform good scientific research, the researcher must organize his academic work and publish it. Previously, this was done in paper notebooks, of inestimable value for the researcher and for those who wanted to know the research results. From these notebooks, it was possible to identify the whole research process that led from the hypothesis to the conclusion, including the attempts that failed. In fact, failure and analysis of the reasons that led to failure are part of the scientific process. Paper notebooks are not as frequent anymore. In the digital world, these notes are now in digital files. Moreover, sometimes these digital files are in the computational cloud and can be accessed from anywhere, through any device. In today's world, where researchers are constantly mobile and where they have insights and ideas about the research they are doing, it is important to have mechanisms for recording and sharing information. In this presentation, we will share information on strategies to organize academic and scientific work better. In addition, we will approach the production of texts with good visual quality, without the difficulties of formatting texts that researchers usually deal with. These difficulties distract researchers from their research and make work more exhausting. We will talk and present some tools in the Cloud Computing that organizes the workflow, helps the process of writing academic texts (papers and reports), manage the bibliographic references, organize and make data available.
  • IEEE DVP Request

  • Public Talks
  • GRADVOHL, A. L. S. Presenting SEA - SunPy Environment Application. Lorentz Center, The Netherlands, 2017.
  • GRADVOHL, A. L. S. Big Data and its application in Healthcare. Blood Center at School of Medicine, University of Campinas, Brazil, 2017.
  • GRADVOHL, A. L. S. Investigating metrics to build a benchmark tool for complex event processing systems. FiCloud, Austria, 2016.
  • GRADVOHL, A. L. S. Introduction to online distributed systems for data stream processing. UNESP, Brazil, 2015.
  • GRADVOHL, A. L. S. Astronomy and High-Performance Computing: scientific convergence. Astrophysics Division, National Institute of Space Research, Brazil, 2013.
  • Computer Networks
  • Computer Organization and Architecture
  • Data Structures
  • High Performance Computing
  • Introduction to Systems Audit and Security
  • Operating Systems
  • Programming Lab. III (Java)
  • Science, Technology and Society
  • 2021 - "Zeferino Vaz" Academic Recognition Award granted by the University of Campinas.
  • 2021 - Thesis advisor nominated for the CAPES Award for Thesis by the Graduate Program in Technology of the School of Technology at UNICAMP.
  • 2020 - Honorable Mention for supervising the undergraduate work "Using deep learning to identifyand classify sunspots in magnetograms"
  • 2019 - AWS Educate Cloud Faculty Ambassador, awarded by the Amazon Web Services.
  • 2018 - Undergraduate Teaching Acknowledgement, awarded by the University of Campinas
  • 2017 - IEEE Senior Member awarded by the Institute of Electrical and Electronics Engineers (IEEE)
  • 2012 - Honorable Mention for Team Coaching at the International Collegiate Programming Contest awarded by Association for Computing Machinery (ACM).

About me

PROFESSIONAL PATH

I am Graduated in Computer Science at Federal University of Ceará – Brazil (1997), Master of Science in Electrical Engineering and Computer Science at the Technological Institute of Aeronautics – Brazil (2000), Ph.D. in Electrical and Computer Engineering at University of Campinas (2005) – Brazil and Specialist in Science Journalism at Advanced Studies in Journalism Laboratory in University of Campinas (2010). In 2014, I did a Postdoctoral stage at Laboratoire d’Informatique de l’Université Pierre et Marie Curie in Paris, France. Since 1999, I have taught in undergraduate courses at universities. I was user support analyst at the National Center for High-Performance Computing (2003-2010) and former head of the Computer Science, Computer Engineering at University São Francisco (2002-2010) and Information Systems and Technology in Systems Analysis and Development undergraduate courses at School of Technology at the University of Campinas (2013). Currently, I am professor at the School of Technology at the University of Campinas and ad-hoc consultant in Brazil Ministry of Education and São Paulo State Council of Education. I have research experience in Computer Science, with emphasis on High-Performance Computing and Distributed Computing.

Work Experience

PREVIOUS JOBS

Associate Professor

School of Technology at University of Campinas, UNICAMP, Brazil.
2010 - Present

Government Employee, Tenured.

Post Doctorate

Université Pierre et Marie Curie, UPMC, France
2013 - 2014

Post doctorate in Distributed Systems. Grantee of Coordination of Improvement of Higher Education Personnel, CAPES, Brazil.

Head of Informatics Department

School of Technology at University of Campinas, UNICAMP, Brazil.
2013 - 2013

Responsible for Information Systems and System Analysis and Development undergraduate courses.

Consultant

National Institute for Educational Studies and Research, Ministry of Education, INEP/MEC, Brazil.Responsible for the accreditation of u
2005 - 2019

Responsible for the accreditation of undergraduate courses in Informatics (Computer Engineering, Computer Science, Information Systems, and System Analysis and Development undergraduate courses.

Head of Informatics Department

São Francisco University, Brazil
2007 - 2010

Responsible for Computer Engineering, Computer Science and System Analysis and Development undergraduate courses.

Professor

São Francisco University, Brazil
2002 - 2010

Taught in Computer Engineering, Computer Science, and System Development and Analysis undergraduate courses.

User Support Analyst

National Center for High-Performance Computing at São Paulo
2003 - 2010

Responsible for the user support and training of the National System of High- Performance Computing.

Professor

Federal University of Itajubá, UNIFEI, Brazil.
2000 - 2002

Taught in Computer Science undergraduate course.

Education

ACADEMIC CAREER

Doctor of Philosophy @ the University of Campinas

Computer Engineering
2000 - 2005

Master of Science @ the Technological Institute of Aeronautics

Electronics and Computer Science
1997 - 2000

Specialist in Scientific Journalism @ the University of Campinas

2009 - 2010

Bach. in Computer Science @ the Federal University of Ceará

1992 - 1997