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Renan Souza Renan Souza

Renan Souza, Ph.D.
Data Science and Engineering Research Staff at Oak Ridge National Laboratory

CV
Renan Souza

Talks, Presentations, and Participation in Events

Please, feel free to reach me if you need a presentation not available here.



IEEE/ACM Supercomputing (SC) in Denver, CO
2023
IEEE International Conference on e-Science in Limassol, Cyprus
  • Towards Lightweight Data Integration using Multi-workflow Provenance and Data Observability, Oral presentation
2023
Brazilian Symposium on Databases (SBBD) in Rio de Janeiro, RJ (virtual)
  • User Steering Support in Large-Scale Workflows, Oral presentation , link
2021
Federal Fluminense University (UFF) Computer Science Seminars in Rio de Janeiro, RJ (virtual)
  • A Knowledge-centric Approach to Support Large-scale AI Systems, Invited talk (Portuguese) , link
2021
SIAM Conference on Computational Science and Engineering in Forth Worth, TX (virtual)
  • AI4Seismic: An AI-Driven Platform to Accelerate Geological Discoveries, Invited talk, Highlighted by the SIAM press , link
  • Workflow Provenance in the Lifecycle of Scientific Machine Learning, Oral presentation , link
2021
ACM International Conference on Management of Data (SIGMOD) in Portland, OR (virtual)
2020
Brazilian Symposium on Databases (SBBD) in Rio (virtual)
2020
High-Performance Data Science workshop in Rio (virtual)
2020
Computational Science and Engineering Seminar at COPPE/UFRJ in Rio (virtual)
  • Workflow Provenance in the Lifecycle of Scientific Machine Learning, Invited talk
2020
Open Subsurface Data Universe Development Workshop in Houston, TX
2020
Open Subsurface Data Universe Development Workshop in Houston, TX
2019
IEEE/ACM Supercomputing (SC) in Denver, CO
Workflows in Support of Large-scale Science (WORKS)
  • Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering, Oral presentation
2019
Scientific Data Analysis using Data-intensive Scalable Computing Workshop in Rio de Janeiro, Brazil
  • Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering, Invited talk
2019
Open Subsurface Data Universe F2F Meeting in Houston, TX
2019
IEEE International Conference on e-Science in San Diego, CA
  • Efficient Runtime Capture of Multiworkflow Data using Provenance, Oral presentation
2019
Inria Talks in Montpellier, France
  • Providing Online Data Analytical Support for Humans in the Loop of Computational Science and Engineering Applications, Invited talk
2019
IBM Regional Technical Exchange in Rio de Janeiro, Brazil
2019
Provenance Week in London, UK
International Provenance and Annotation Workshop (IPAW)
  • Provenance of Dynamic Adaptations in User-steered Dataflows, Oral presentation
  • Capturing Provenance for Runtime Data Analysis in Computational Science and Engineering Applications, Poster presentation
Computational Reproducibility Workshop
  • Provenance of Dynamic Adaptations in User-steered Dataflows, Oral presentation
2018
International Conference on Very Large Databases (VLDB) in Rio de Janeiro, Brazil
Latin American Data Science Workshop
  • Tracking Hyperparameter Tuning in Deep Learning Training, Oral presentation
2018
Brazilian Syposium on Databases (SBBD) in Rio de Janeiro, Brazil
2018
Brazilian Syposium on Databases (SBBD) in Uberlandia, Brazil
  • Spark Scalability Analysis in a Scientific Workflow, Oral presentation
  • Controlling the Parallel Execution of Workflows Relying on a Distributed Database, Oral presentation
2017
Federal University of Uberlandia, Brazil in Uberlandia, Brazil
  • Kubernetes, Invited talk
2017
Smart City Cloud Hackathon OpenStack Rio in Rio de Janeiro, Brazil
2017
Computer Science Week at UFRJ in Rio de Janeiro, Brazil
  • Kubernetes, Oral presentation
2017
Brazilian Conference on Artificial Intelligence (BRACIS) in Recife, Brazil
  • Graph Analytics with Spark, Tutorial
2017
IEEE/ACM Supercomputing (SC) in Salt Lake City, UT
Workflows in Support of Large-scale Science (WORKS)
  • Online Input Data Reduction in Scientific Workflows, Oral presentation
2016
ASE BigData/SocialCom/CyberSecurity in Stanford University, Menlo Park, CA
  • Linked open data publication strategies: Application in networking performance measurement data, poster presentation
2014

Last updated on 2024-09-16.

Complete version of the curriculum vitae: Renan-Souza-CV-full.pdf.

Source code to generate this website and the CV: https://github.com/renan-souza/cv.