Shweta Purawat

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Data Provenance

Machine Learning

Scientific Workflows

Top Venues

Publications

H. Ahmed, R. Shende, Ismael Pérez, Daniel Crawl, Shweta Purawat, Ilkay Altintas
Towards an Integrated Performance Framework for Fire Science and Management Workflows. CoRR (2024)
Amarnath Gupta, Shweta Purawat, Subhasis Dasgupta, Pratyush Karmakar, Elaine Chi, Ilkay Altintas
Bridging eResearch Infrastructure and Experimental Materials Science Process in the Quantum Data Hub. CoRR (2024)
Rizbanul Hasan, Shweta Purawat, Catherine Olschanowsky, Ilkay Altintas
Preserving File Provenance Using Principles of Blockchain to Ensure Scientific Reproducibility. e-Science (2023)
Rujula Yete, Shweta Purawat, Ismael Pérez, Daniel Crawl, Ilkay Altintas
Automating the Evaluation of Datasets for FAIR and CARE Principles. e-Science (2023)
Shweta Purawat, Subhasis Dasgupta, Jining Song, Shakti Davis, Kajal T. Claypool, Sandeep Chandra, Ashley Mason, Varun Viswanath, Amit Klein, Patrick Kasl, YingJing Wen, Benjamin Smarr, Amarnath Gupta, Ilkay Altintas
TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19. IEEE BigData (2021)
Shweta Purawat, Subhasis Dasgupta, Luke Burbidge, Julia L. Zuo, Stephen D. Wilson, Amarnath Gupta, Ilkay Altintas
Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science. ICCS (1) (2021)
Alok Singh, Shweta Purawat, Arvind Rao, Ilkay Altintas
Modular performance prediction for scientific workflows using Machine Learning. Future Gener. Comput. Syst. 114 (2021)
Shweta Purawat, Cathie Olschanowsky, Laura E. Condon, Reed M. Maxwell, Ilkay Altintas
Scalable Workflow-Driven Hydrologic Analysis in HydroFrame. ICCS (1) (2020)
Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus
Towards A Methodology and Framework for Workflow-Driven Team Science. CoRR (2019)
Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus
Toward a Methodology and Framework for Workflow-Driven Team Science. Comput. Sci. Eng. 21 (4) (2019)
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
A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows. PLoS Comput. Biol. 15 (3) (2019)
Alok Singh, Mai H. Nguyen, Shweta Purawat, Daniel Crawl, Ilkay Altintas
Modular Resource Centric Learning for Workflow Performance Prediction. CoRR (2017)
Alok Singh, Arvind Rao, Shweta Purawat, Ilkay Altintas
A machine learning approach for modular workflow performance prediction. WORKS@SC (2017)
Shweta Purawat, Charles Cowart, Rommie E. Amaro, Ilkay Altintas
Biomedical Big Data Training Collaborative (BBDTC): An effort to bridge the talent gap in biomedical science and research. J. Comput. Sci. 20 (2017)
Shweta Purawat, Charles Cowart, Rommie E. Amaro, Ilkay Altintas
Biomedical Big Data Training Collaborative (BBDTC): An Effort to Bridge the Talent Gap in Biomedical Science and Research. ICCS (2016)
Jianwu Wang, Moustafa AbdelBaky, Javier Diaz Montes, Shweta Purawat, Manish Parashar, Ilkay Altintas
Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources. ICCS (2016)
Jianwu Wang, Daniel Crawl, Shweta Purawat, Mai H. Nguyen, Ilkay Altintas
Big data provenance: Challenges, state of the art and opportunities. IEEE BigData (2015)
Yu Qian, Hyunsoo Kim, Shweta Purawat, Jianwu Wang, Rick Stanton, Alexandra Lee, Weijia Xu, Ilkay Altintas, Robert S. Sinkovits, Richard H. Scheuermann
FlowGate: towards extensible and scalable web-based flow cytometry data analysis. XSEDE (2015)