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2020 – today
- 2024
[c12]Hena Ahmed, Ravi Shende, Ismael Pérez, Daniel Crawl, Shweta Purawat, Ilkay Altintas:
Towards an Integrated Performance Framework for Fire Science and Management Workflows. CCGridW 2024: 78-83- [c11]Ilkay Altintas, Shweta Purawat, Ismael Pérez, Jenny Lee, Melissa Floca, Jessica Block, Josh Breslow, Daniel Crawl:
Streamlined Edge Computing for Fire Science and Management using WIFIRE Edge. e-Science 2024: 1-10 - [i4]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 abs/2405.19706 (2024) - [i3]Hena Ahmed, Ravi Shende, Ismael Pérez, Daniel Crawl, Shweta Purawat, Ilkay Altintas:
Towards an Integrated Performance Framework for Fire Science and Management Workflows. CoRR abs/2407.21231 (2024) - 2023
- [c10]Rizbanul Hasan, Shweta Purawat, Catherine Olschanowsky, Ilkay Altintas:
Preserving File Provenance Using Principles of Blockchain to Ensure Scientific Reproducibility. e-Science 2023: 1-7 - [c9]Rujula Yete, Shweta Purawat, Ismael Pérez, Daniel Crawl, Ilkay Altintas:
Automating the Evaluation of Datasets for FAIR and CARE Principles. e-Science 2023: 1-2 - 2021
- [j4]Alok Singh, Shweta Purawat, Arvind Rao, Ilkay Altintas:
Modular performance prediction for scientific workflows using Machine Learning. Future Gener. Comput. Syst. 114: 1-14 (2021) - [c8]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:
TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19. IEEE BigData 2021: 4411-4420 - [c7]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: 656-670 - 2020
- [c6]Shweta Purawat, Cathie Olschanowsky, Laura E. Condon, Reed M. Maxwell, Ilkay Altintas:
Scalable Workflow-Driven Hydrologic Analysis in HydroFrame. ICCS (1) 2020: 276-289
2010 – 2019
- 2019
- [j3]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): 37-48 (2019) - [j2]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) - [i2]Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus:
Towards A Methodology and Framework for Workflow-Driven Team Science. CoRR abs/1903.01403 (2019) - 2017
- [j1]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: 205-214 (2017) - [c5]Alok Singh, Arvind Rao, Shweta Purawat, Ilkay Altintas:
A machine learning approach for modular workflow performance prediction. WORKS@SC 2017: 7:1-7:11 - [i1]Alok Singh, Mai H. Nguyen, Shweta Purawat, Daniel Crawl, Ilkay Altintas:
Modular Resource Centric Learning for Workflow Performance Prediction. CoRR abs/1711.05429 (2017) - 2016
- [c4]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: 700-711 - [c3]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: 1791-1800 - 2015
- [c2]Jianwu Wang, Daniel Crawl, Shweta Purawat, Mai H. Nguyen, Ilkay Altintas:
Big data provenance: Challenges, state of the art and opportunities. IEEE BigData 2015: 2509-2516 - [c1]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: 5:1-5:8
Coauthor Index
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last updated on 2024-10-23 21:27 CEST by the dblp team
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