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Contributions by subject area
Daniel de Oliveira
Summary
Daniel de Oliveira is a professor of computer science at Universidade Federal Fluminense in Brazil. His current research interests include scientific workflows, provenance, cloud computing, data scalable and intensive computing, high-performance computing, and distributed and parallel databases. He serves or served on the program committee of major international and national conferences (VLDB, IPAW, IEEE eScience, SBBD, etc.) and is a member of IEEE, ACM, and the Brazilian Computer Society. He has published many technical papers and is a co-author of the book “Data-Intensive Workflow Management For Clouds and Data-Intensive and Scalable Computing Environments” published by Morgan & Claypool in 2019.
Data Mining & Machine Learning Data Science Databases Distributed & Parallel Computing Scientific Computing & Simulation
