Shweta Purawat

According to our database, Shweta Purawat authored at least 15 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Automating the Evaluation of Datasets for FAIR and CARE Principles.

Rujula Yete, Shweta Purawat, Ismael Pérez, Daniel Crawl, Ilkay Altintas

Proceedings of the 19th IEEE International Conference on e-Science, 2023

Preserving File Provenance Using Principles of Blockchain to Ensure Scientific Reproducibility.

Rizbanul Hasan, Shweta Purawat, Catherine Olschanowsky, Ilkay Altintas

Proceedings of the 19th IEEE International Conference on e-Science, 2023

2021

Modular performance prediction for scientific workflows using Machine Learning.

Alok Singh, Shweta Purawat, Arvind Rao, Ilkay Altintas

Future Gener. Comput. Syst., 2021

Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science.

Shweta Purawat, Subhasis Dasgupta, Luke Burbidge, Julia L. Zuo, Stephen D. Wilson, Amarnath Gupta, Ilkay Altintas

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.

Shweta Purawat, Subhasis Dasgupta, Jining Song, Shakti Davis, Kajal T. Claypool, Sandeep Chandra, Ashley Mason, Varun Viswanath, Amit Klein, Patrick Kasl, YingJing Wen, Benjamin L. Smarr, Amarnath Gupta, Ilkay Altintas

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Scalable Workflow-Driven Hydrologic Analysis in HydroFrame.

Shweta Purawat, Cathie Olschanowsky, Laura E. Condon, Reed M. Maxwell, Ilkay Altintas

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.

Pei-Chi Yang, Shweta Purawat, Pek U. Ieong, Mao-Tsuen Jeng, Kevin R. DeMarco, Igor Vorobyov, Andrew D. McCulloch, Ilkay Altintas, Rommie E. Amaro, Colleen E. Clancy

PLoS Comput. Biol., 2019

Toward a Methodology and Framework for Workflow-Driven Team Science.

Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus

Comput. Sci. Eng., 2019

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

Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus

CoRR, 2019

2017

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

Shweta Purawat, Charles Cowart, Rommie E. Amaro, Ilkay Altintas

J. Comput. Sci., 2017

Modular Resource Centric Learning for Workflow Performance Prediction.

Alok Singh, Mai H. Nguyen, Shweta Purawat, Daniel Crawl, Ilkay Altintas

CoRR, 2017

A machine learning approach for modular workflow performance prediction.

Alok Singh, Arvind Rao, Shweta Purawat, Ilkay Altintas

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.

Jianwu Wang, Moustafa AbdelBaky, Javier Diaz Montes, Shweta Purawat, Manish Parashar, Ilkay Altintas

Proceedings of the International Conference on Computational Science 2016, 2016

2015

FlowGate: towards extensible and scalable web-based flow cytometry data analysis.

Yu Qian, Hyunsoo Kim, Shweta Purawat, Jianwu Wang, Rick Stanton, Alexandra Lee, Weijia Xu, Ilkay Altintas, Robert S. Sinkovits, Richard H. Scheuermann

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.

Jianwu Wang, Daniel Crawl, Shweta Purawat, Mai H. Nguyen, Ilkay Altintas

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015