Agentic AI for User Facilities in Lawrence Berkeley National Laboratory
- Provenance Data in Agentic Workflows, Oral presentation
| 2026 |
Workflows Community Initiative in Remote
- For Provenance and with Provenance: The Role of Provenance Data in Agentic Workflows, Oral presentation, link
| 2025 |
IEEE/ACM Supercomputing (SC) in St. Louis, U.S.A.
- LLM Agents for Interactive Workflow Provenance: Reference Architecture and Evaluation Methodology, Oral presentation, link
| 2025 |
IEEE International Conference on e-Science in Chicago, U.S.A
- Large-scale Workflow Provenance Data Management in the AI Lifecycle using Flowcept, Tutorial, link
- PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows, Oral presentation, link
| 2025 |
IEEE International Conference on e-Science in Osaka, Japan (Virtual)
- Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI, Oral presentation, link
| 2024 |
IEEE/ACM Supercomputing (SC) in Atlanta, GA
- Integrating Evolutionary Algorithms with Distributed Deep Learning for Optimizing Hyperparameters on
HPC Systems, Oral presentation
| 2024 |
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
| 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
| 2018 |
International Conference on Very Large Databases (VLDB) in Rio de Janeiro, Brazil
| 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
| 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
| 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 |