Shweta Purawat

Orcid: 0000-0002-5183-2750

According to our database1, Shweta Purawat authored at least 18 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Bridging eResearch Infrastructure and Experimental Materials Science Process in the Quantum Data Hub.
CoRR, 2024

Streamlined Edge Computing for Fire Science and Management using WIFIRE Edge.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

Towards an Integrated Performance Framework for Fire Science and Management Workflows.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023
Automating the Evaluation of Datasets for FAIR and CARE Principles.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

Preserving File Provenance Using Principles of Blockchain to Ensure Scientific Reproducibility.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

2021
Modular performance prediction for scientific workflows using Machine Learning.
Future Gener. Comput. Syst., 2021

Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science.
Proceedings of the Computational Science - ICCS 2021, 2021

TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Scalable Workflow-Driven Hydrologic Analysis in HydroFrame.
Proceedings of the Computational Science - ICCS 2020, 2020

2019
A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows.
PLoS Comput. Biol., 2019

Toward a Methodology and Framework for Workflow-Driven Team Science.
Comput. Sci. Eng., 2019

Towards A Methodology and Framework for Workflow-Driven Team Science.
CoRR, 2019

2017
Biomedical Big Data Training Collaborative (BBDTC): An effort to bridge the talent gap in biomedical science and research.
J. Comput. Sci., 2017

Modular Resource Centric Learning for Workflow Performance Prediction.
CoRR, 2017

A machine learning approach for modular workflow performance prediction.
Proceedings of the 12th Workshop on Workflows in Support of Large-Scale Science, 2017

2016
Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources.
Proceedings of the International Conference on Computational Science 2016, 2016

2015
FlowGate: towards extensible and scalable web-based flow cytometry data analysis.
Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure, St. Louis, MO, USA, July 26, 2015

Big data provenance: Challenges, state of the art and opportunities.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015


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