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DEXL Team


Coordinators

Fabio Porto

Fabio Porto

PhD
Fabio Porto is a Senior Researcher at the National Laboratory of Scientific Computing, in Brazil. He is the founder of the DEXL Laboratory, developing R&D activities in the context of scientific data analysis and management. He holds a PhD in Informatics from PUC-Rio, with sandwich at INRIA, in 2001, and a postdoc at Ecole Polytechnique Fédérale de Lausanne (EPFL). He has more than 80 research papers published in International Conferences and Scientific Journals, including VLDB, SIGMOD and ICDE. He was the General Chair of VLDB 2018 and SBBD 2015. Since 2018 he has been a member of the SBBD steering committee, and a member of SBC and ACM. ...

Researchers

Artur Ziviani

Artur Ziviani

Ph.D
Artur Ziviani is a Senior Researcher at the Data Extreme Lab (DEXL) of the National Laboratory for Scientific Computing (LNCC), a research unit of the Brazilian Ministry of Science, Technology, Innovations, and Communications (MCTIC) located in Petrópolis, Brazil. In 2003, he received a Ph.D. in Computer Science at the LIP6 laboratory of the Université Pierre et Marie Curie (Paris 6) - Sorbonne Universités, Paris, France, where he has also been a lecturer during the 2003-2004 academic year. He received a B.Sc. degree in Electronics Engineering in 1998 and a M.Sc. degree in Electrical Engineering (emphasis in Computer Networking) in 1999, both from the Federal University of Rio de Janeiro (UFRJ), Brazil. From September 2008 to January 2009, he was a visiting researcher at INRIA in France. He serves on the Editorial Board of IEEE Communications Surveys & Tutorials and Computer Network...
Luiz Manoel Rocha Gadelha Junior Manoel Rocha Gadelha Junior

Luiz Manoel Rocha Gadelha Junior Manoel Rocha Gadelha Junior

Ph.D

Luiz Gadelha holds a degree in Mathematics from the University of Brasília (1997), a M.Sc. degree in Computer Science from the University of Brasília (2000) and a D.Sc. in Computer and Systems Engineering from the Federal University of Rio de Janeiro (2012), which included an internship at the University of Chicago (2010). He is currently a Senior Technologist at the Data Extreme Lab (DEXL) of the National Laboratory for Scientific Computing. He has experience in the areas of scientific data management and high performance computing, working mainly on the following topics: provenance, parallel and distributed scientific workflows, bioinformatics and information technology in biodiversity.

Visiting Researchers

Marcel de Moraes Pedroso

Marcel de Moraes Pedroso

Ph.D
He holds a PhD in Public Administration from the University of Brasília (UnB - 2011), a Master 's degree in Economics from the Pontifical Catholic University of. (PUCSP - 2002) and a Bachelor in History from the University of São Paulo (USP - 2000). He is currently a Public Health Researcher at the Institute of Communication and Scientific and Technological Information in Health of the Oswaldo Cruz Foundation (Icict / Fiocruz), Coordinator of the Data Science Platform applied to Icict Health, guest professor of the Stricto Sensu Postgraduate Program (PPGICS / Icict), collaborating professor of the Post-Graduation Program in Public Health of the National School of Public Health Sergio Arouca (PPG-SP / ENSP) and visiting researcher in the National Laboratory of Scientific Computation (LNCC) . Has experience in the area of ​​Collective Health, with emphasis on information management for d...

Post Doc

Douglas Ericson Marcelino de Oliveira

Douglas Ericson Marcelino de Oliveira

Postdoc research
Douglas Oliveira is a developer at the Data Extreme Lab (DEXL) of the National Laboratory for Scientific Computing (LNCC), a research unit of the Brazilian Ministry of Science, Technology, Innovations, and Communications (MCTIC) located in Petrópolis, Brazil. In 2017, he received a Ph.D. in Computer Systems at the Fluminense Federal University (UFF), Niterói, Brasil.  He received a B.Sc. degree in Information and Communication Technology in 2008 at the FAETERJ - Petrópolis, where he has also been a lecturer since 2010. He received a M.Sc. degree in Computer Systems (emphasis in Workflow Parallel Processing) in 2010 at the Military Engineering Institute (IME), Rio de Janeiro, Brazil.  His current research interests include data science, machine learning and parallel data processing....
Felipe Sobreira Abrahão

Felipe Sobreira Abrahão

Postdoc research
 Postdoc researcher in a project on network science and algorithmic networks, under the supervision of Artur Ziviani. His current research project aims to study systemic properties (e.g., emergence, complexity, and synergy) in networked complex systems and its relations to network science. It is based on complex systems science, computability theory, algorithmic and statistical information theory, and complex networks theory.  Major fields: theory of computation, mathematical logic, information theory, complex systems, complex networks. Secondary fields: epistemology, interdisciplinarity, and philosophy of mathematics. Bachelor degree in Mathematics at the Federal University of Rio de Janeiro (UFRJ). Doctorate and masters in the interdisciplinary graduate program of History of Sciences and Techniques an...
Raquel Lopes Costa

Raquel Lopes Costa

P​ostdoctoral researcher

D.Sc. in Computational Modeling at LNCC (National Laboratory for Scientific Computing) with focus on Computational Biology and Bioinformatics. Currently, she is a postdoctoral researcher at INCA (Brazilian National Institute of Cancer). Her work involves themes such as multi-omics data integration and oncovirology. Frequently, she uses e-science approaches including no-SQL databases (especially graph databases), scientific workflows and HPC(High-Performance Computing).

Yania Molina Souto

Yania Molina Souto

P​ostdoctoral researcher

Yania Molina Souto graduated in Informatics from University of Informatics Sciences (UCI) in Havana, Cuba (2007). She obtained the masters degree in Bioinformatic by InsTEC in Havana, Cuba (2010), and the Ph.D. degree in Computational Modeling at the National Laboratory of Scientific Computing (LNCC) of Rio de Janeiro, Brazil (2018). She has experience in computer science, with emphasis on Data Science, Artificial Intelligence, mainly in the following areas: Data Base, Data Analysis, Data Mining, Machine Learning, Deep Learning and Uncertainty Quantification.

Collaborators

Adolfo Simões

Adolfo Simões

Senior Systems Analyst
Project Manager and Senior Systems Analyst at LNCC's DEXL LAB, working on the following topics: Big Data (Spark, Hadoop-MapReduce), Database, Distributed Database, Apache Services, Windows and Linux Operating System Administration. installation and configuration. Programming languages: Java O. O. and Web, Python, HTML 5, CSS, JavaScript, PHP, SQL, C, C #, MS Project, Scrum Methodology, Strategic Planning. Knowledge of business areas, facilitating research and data collection, and knowledge of solutions based on data. My focus today is on making application development decisions based on the analysis of large volumes of data, data management. Applications in different areas, such as: monitoring of high-performance athletes, oil and gas, agriculture, astronomy, weather forecast, financial market, recommendations on the web, to name a few, use a wealth of data, generated daily, available an...
Carlos Leonardo Souza Cardoso

Carlos Leonardo Souza Cardoso

Systems Analyst and Developer

Graduated in Information Systems from Universidade Estácio de Sá (2010). Postgraduate in Planning, Implementation and Management in EAD from Universidade Federal Fluminense (2016). Experience as a Linux systems analyst in several services such as WEB, E-Mail, HPC, Hadoop and others.

Enver Anibal Choque Cayo

Enver Anibal Choque Cayo

Systema Analyst - Web Developer

Graduated in Computer Science from Universidade Católica de Petrópolis (UCP) in 2002. Experience of work in analysis and development of web projects, implementation and monitoring of systems, knowledge in the following languages ​​of PHP, Java, JavaScript, SQL, HTML and CSS and system accompaniment, Search Engine Optimization (SEO) projects, development of e-commerce systems (electronic commerce) and customized CMS.

João Guilherme Nobre Rittmeyer

João Guilherme Nobre Rittmeyer

Developer

  Bachelor degree in “Tecnologias da Informação e Comunicação” from Fundação de Apoio à Escola Técnica do Estado do Rio de Janeiro. Analysis, storage and Data management with emphasis in Big Data, Parallel Processing, Pre-processing and Indexation Techniques (Ph-Tree, QuadTree) are his research interests. Experience on developing parallel applications with  Apache Spark e Apache Hadoop frameworks in the following programming languages: Python, R and Java.

Klaus Wehmuth

Klaus Wehmuth

Postdoc research

After a couple of decades in the ICT industry, Klaus Wehmuth came back to academia to pursue a Ph.D. in Computational Modeling at the National Laboratory for Scientific Computing (LNCC), a research unit of the Brazilian Ministry of Science, Technology, Innovation and Communication (MCTIC) located in Petrópolis, Brazil. Currently, he holds a B.Sc. degree in Information Systems, a M.Sc. and a Ph.D. in Computational Modeling.

Students

Anderson Chaves da Silva

Anderson Chaves da Silva

Ph.D Student

A Ph.D. student at the National Laboratory for Scientific Computing (LNCC) and also a software developer, Anderson Silva has a M.Sc. degree in Systems and Computing from the Military Institute of Engineering (IME) since 2018. He has defended his dissertation in the area of Spectral Graph Theory, presenting theorems and heuristics for the Maximum Algebraic Connectivity Augmentation Problem. In the same year, he worked at LNCC on high-performance computing tasks. He has received a B.Sc. degree in Computer Science from Universitary Center Serra dos Órgãos (Unifeso) in Teresópolis (Brazil) in 2014, where he developed a system that used image processing techniques, in Python. He has also worked both as an instructor and in the development of commercial systems.


André Muniz Demori

André Muniz Demori

Undergraduate

Graduaded as a Telecommunications Technician by CEFET and currently studying Information Technology and Communication by FAETERJ. I have professional experience at Globosat Programadora Ltda working in the Technical Center Reception of Signals and later working as Image Director in the period of the Rio 2016 Olympics covering various events. It was the biggest coverage in the history of the Olympic Games.. I am currently working on the project titled Metric Indexing in Space Junctions in Dexl Lab (Extreme Data Lab) under the guidance of Prof.Dr. Fábio Porto where I work with database index, data analysis and software development for solutions in astronomy.

Daniel Gaspar Gonçalves de Souza

Daniel Gaspar Gonçalves de Souza

Ph.D Student

Graduated in Mathematics from the Federal University of the State of Rio de Janeiro (2012), graduated in Technologist in Information and Communication Technology from the Faculty of Technological Education of the State of Rio de Janeiro (2012), graduation in Mechatronics Engineering from Universidade Católica de Petrópolis (2012) and master's degree in Computational Modeling - National Laboratory of Scientific Computing (2014). He is currently an assistant professor at the Catholic University of Petrópolis and a doctoral student in Computational Modeling by the National Laboratory of Scientific Computing.

Daniel N. Ramos da Silva

Daniel N. Ramos da Silva

Ph.D Student
Daniel N. R. da Silva is currently a PhD student in Computational Science at the Brazilian National Laboratory for Scientific Computing (LNCC). He holds an M.Sc. degree in Computational Science from LNCC (2017) and a B.Sc. degree in Computer Science from UNIFESO (2014). His research interests lie at the intersection among Knowledge Engineering, Machine Learning, and Network Science. Especially, Daniel works on two related research projects: his PhD thesis development and a model management R&D project. In his thesis, Daniel is interested in the analysis and development of machine learning methods for modelling temporal knowledge graph dynamics, for instance, the inference of a new fact based on the graph information. On the other hand, in the R&D project, Daniel is involved in building a knowledge-based system for the management of machine learning models....
Henrique Matheus Ferreira da Silva

Henrique Matheus Ferreira da Silva

M.Sc. Student

Graduated in the Interdisciplinary Bachelor in Science and Technology and Physical Engineering From the Federal University of the West of Pará. During the graduation I had experiences with the modeling of vehicles in ansys, modeling and implementation of photovoltaic solar systems, Hadoop and machine learning techniques with emphasis on Deep Learning. I am currently a master student at the National Laboratory of Scientific Computing (LNCC) under the guidance of Prof. Fabio Porto, having as areas of interest: Big Data, machine learning.

Hermano Lourenço Souza Lustosa

Hermano Lourenço Souza Lustosa

Ph.D Student

Hermano Lustosa graduted in Computer Science from the Centro Universitário Serra dos Órgãos and holds a master's degree in Scientific Computing obtained at the Brazil's National Lab for Scientific Computing. He works in software developement, and  researches simulation data management in the context of the DEXL Lab. He also teaches at the Centro Universitário Serra dos Órgãos - Teresópolis - Brazil.

Maria Luiza Botelho Mondelli

Maria Luiza Botelho Mondelli

Ph.D Student
Maria Luiza has a technical degree in Information Technology received in 2011 from the Educational Center in Information Technology (CPTI). In 2014 she has undergraduated with academic honors in Information and Communication Technology from the Faculty of Technological Education of the State of Rio de Janeiro (FAETERJ). In 2017 she received a M.Sc degree in Computational Modeling at the National Laboratory for Scientifc Computing (LNCC) and her work involved the development of parallel scientific workflows in bioinformatics and data analysis. She is currently a doctorate student at the same institution, and her work is focused on reproducibility of scientific experiments. In addition, she has also worked on other projects involving data analysis and visualization, and systems development.




Matheus Ribeiro Furtado de Mendonça

Matheus Ribeiro Furtado de Mendonça

Ph.D Student

Matheus R. F. Mendonça is currently a Phd candidate in Computational Modeling at the National Laboratory for Scientific Computing (LNCC), located in the city of Petrópolis, RJ, Brazil. In 2013, he received a B.Sc. degree in Exact Sciences, followed by a B.Sc. degree in Computer Science in 2014 and a M.Sc. degree in Computer Science in 2016, all obtained at the Federal University of Juiz de Fora (UFJF), located in the city of Juiz de Fora, MG, Brazil. His research is focused mainly in the application of Machine Learning methods for solving problems from the Network Science research area. The main focus of my current research are: Reinforcement Learning, Supervised Learning (Neural Networks and Deep Learning models) and Network Centrality analysis.

Nathália Barbosa Santos

Nathália Barbosa Santos

M.Sc. Student

Graduated in Mathematics from the IFRJ (Instituto Federal do Rio de Janeiro) (2018) and currently holds a Masters in Computational Modeling at the LNCC (Laboratório Nacional de Computação Científica) with research in the area of Network Science. Has experience in Mathematics and Computation, working mainly in the following subjects: Monte Carlo Simulation, Algebra I, Integral Calculus and Programming.


Rafael Silva Pereira

Rafael Silva Pereira

M.Sc. Student

My name is Rafael Silva Pereira, i am a bachelor in Physics by Universidade Federal Fluminense(UFF), graduated in 2018. On my graduation i worked on complex systems both with differential equations as well as using game theory and agent based models. There i was first introduced to data science which is the field i currently work on as a masters degree student in LNCC, where i work in the problems of image classification using Deep Learning, Data cleaning via statitical analysis, as well as pattern recgoniction on texts using text mining.

I am the developer and current maintainer of the cleanerR  R language package , you can check it on the following link: https://cran.r-project.org/web/packages/cleanerR/index.html




Raquel de Abreu Junqueira Gritz

Raquel de Abreu Junqueira Gritz

Undergraduate
Raquel Gritz is a undergraduate research at the Data Extreme Lab (DEXL) of the National Laboratory for Scientific Computing (LNCC) by scientific initiation program. Graduating in Information and Communication Technologies at Faculdade de Educação Tecnológica do Estado do Rio de Janeiro in the city of Petrópolis (FAETERJ-Petrópolis). Her current research interests are data science; machine learning; deep learning and data analysis and processing....
Rocío Milagros Zorrilla Coz

Rocío Milagros Zorrilla Coz

Ph.D Student
Rocio Zorrilla is a research member at the Data Extreme Lab (DEXL) and a PhD Candidate at the National Laboratory for Scientific Computing (LNCC), a research unit of the Brazilian Ministry of Science, Technology, Innovations, and Communications (MCTIC) located in Petrópolis, Brazil. She received a B.Sc degree in Mathematics from the National University of Engineering (UNI) located in Lima, Peru and a M.Sc. degree in Computational Modelling from the National Laboratory for Scientific Computing (LNCC).



Yasmmin Côrtes Martins Martins

Yasmmin Côrtes Martins Martins

Ph.D Student
Graduated in System's analysis and development at Fluminense Federal Institute, where I developed a web system to apply cognitive tests of memory and attention generating reports in the administration page. All the data about this kind of tests and the terminology is recorded following the linked data principles in order to encourage other systems to adopt the same terminology and facilitate the analysis and querying using the same file format.Master's degree in Systems and Information at Military Institute of Engineering. I developed a dissertation about data interlinking (https://github.com/YasCoMa/dscrank) on the web of data in the semantic web context, having as target since the ranking of the best datasets publicly available to link to some source without external links, till the data items mapping between the selected datasets and the source one, human valid...