Daniel de Oliveira

PeerJ Editor & Author

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

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences

PeerJ Computer Science

Past or current institution affiliations

Universidade Federal Fluminense

Work details

Professor of Computer Science (Big Data and Databases)

Universidade Federal Fluminense

February 2013

Computer Science Department

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.