Big data provenance: Challenges, state of the art and opportunities. - Jianwu Wang 001; Daniel Crawl; Shweta Purawat; Mai H. Nguyen; Ilkay Altintas (IEEE BigData, 2015)

FlowGate: towards extensible and scalable web-based flow cytometry data analysis. - Yu Qian; Hyunsoo Kim; Shweta Purawat; Jianwu Wang 001; Rick Stanton; Alexandra Lee; Weijia Xu; Ilkay Altintas; Robert S. Sinkovits; Richard H. Scheuermann (XSEDE, 2015)

Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources. - Jianwu Wang 001; Moustafa AbdelBaky; Javier Diaz Montes; Shweta Purawat; Manish Parashar; Ilkay Altintas (ICCS, 2016)

A machine learning approach for modular workflow performance prediction. - Alok Singh 004; Arvind Rao; Shweta Purawat; Ilkay Altintas (WORKS@SC, 2017)

Modular Resource Centric Learning for Workflow Performance Prediction. - Alok Singh 004; Mai H. Nguyen; Shweta Purawat; Daniel Crawl; Ilkay Altintas (CoRR, 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)

Towards A Methodology and Framework for Workflow-Driven Team Science. - Ilkay Altintas; Shweta Purawat; Daniel Crawl; Alok Singh 004; Kyle Marcus (CoRR, 2019)

Toward a Methodology and Framework for Workflow-Driven Team Science. - Ilkay Altintas; Shweta Purawat; Daniel Crawl; Alok Singh 004; Kyle Marcus (Comput. Sci. Eng., 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)

Scalable Workflow-Driven Hydrologic Analysis in HydroFrame. - Shweta Purawat; Cathie Olschanowsky; Laura E. Condon; Reed M. Maxwell; Ilkay Altintas (ICCS (1), 2020)

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 K. Viswanath; Amit Klein 002; Patrick Kasl; YingJing Wen; Benjamin L. Smarr; et al. (IEEE BigData, 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 (ICCS (1), 2021)

Modular performance prediction for scientific workflows using Machine Learning. - Alok Singh 004; Shweta Purawat; Arvind Rao; Ilkay Altintas (Future Gener. Comput. Syst., 2021)

Preserving File Provenance Using Principles of Blockchain to Ensure Scientific Reproducibility. - Rizbanul Hasan; Shweta Purawat; Catherine Olschanowsky; Ilkay Altintas (e-Science, 2023)

Automating the Evaluation of Datasets for FAIR and CARE Principles. - Rujula Yete; Shweta Purawat; Ismael Pérez; Daniel Crawl; Ilkay Altintas (e-Science, 2023)

Towards an Integrated Performance Framework for Fire Science and Management Workflows. - Hena Ahmed; Ravi Shende; Ismael Pérez; Daniel Crawl; Shweta Purawat; Ilkay Altintas (CCGridW, 2024)

Streamlined Edge Computing for Fire Science and Management using WIFIRE Edge. - Ilkay Altintas; Shweta Purawat; Ismael Pérez; Jenny Lee; Melissa Floca; Jessica Block; Josh Breslow; Daniel Crawl (e-Science, 2024)

Bridging eResearch Infrastructure and Experimental Materials Science Process in the Quantum Data Hub. - Amarnath Gupta; Shweta Purawat; Subhasis Dasgupta; Pratyush Karmakar; Elaine Chi; Ilkay Altintas (CoRR, 2024)

Actionable Fire Modeling in Firemap for Extended Attack Decision Support. - Ilkay Altintas; Shweta Purawat; Daniel Crawl; Jessica Block; Jenny Lee; Adrienne Breland; Ismael Pérez; Jordan Combs; Rawaf Al Rawaf; Chris Lautenberger; Gary W. Johnson; David Saah (ICCS (Workshops 4), 2025)