Bakinam T. Essawy
Bakinam T. Essawy
Research Associate, University of Virginia
Verified email at
Cited by
Cited by
Toward the geoscience paper of the future: Best practices for documenting and sharing research from data to software to provenance
Y Gil, CH David, I Demir, BT Essawy, RW Fulweiler, JL Goodall, ...
Earth and Space Science 3 (10), 388-415, 2016
Using a data grid to automate data preparation pipelines required for regional-scale hydrologic modeling
MM Billah, JL Goodall, U Narayan, BT Essawy, V Lakshmi, A Rajasekar, ...
Environmental Modelling & Software 78, 31-39, 2016
Integrating scientific cyberinfrastructures to improve reproducibility in computational hydrology: Example for HydroShare and GeoTrust
BT Essawy, JL Goodall, W Zell, D Voce, MM Morsy, J Sadler, Z Yuan, ...
Environmental Modelling & Software 105, 217-229, 2018
Requirements for supporting the iterative exploration of scientific workflow variants
L Carvalho, BT Essawy, D Garijo, CB Medeiros, Y Gil
Proceedings of the Workshop on Capturing Scientific Knowledge (SciKnow …, 2017
Server‐side workflow execution using data grid technology for reproducible analyses of data‐intensive hydrologic systems
BT Essawy, JL Goodall, H Xu, A Rajasekar, JD Myers, TA Kugler, ...
Earth and Space Science 3 (4), 163-175, 2016
Evaluation of the OntoSoft Ontology for describing metadata for legacy hydrologic modeling software
BTE ,Jonathan L. Goodall, Hao Xu,Yolanda Gil
Environmental Modelling & Software 92, 317-329, 2017
Effect of Climate Change on Sea Water Intrusion in the Nile Delta Coastal Aquifer
BT Essawy
Faculty of Engineering, Cairo University, 2013
A taxonomy for reproducible and replicable research in environmental modelling
BT Essawy, JL Goodall, D Voce, MM Morsy, JM Sadler, YD Choi, ...
Environmental Modelling & Software 134, 104753, 2020
A semantic model catalog to support comparison and reuse
D Garijo, D Khider, Y Gil, LA Carvalho, BT Essawy, S Pierce, DH Lewis, ...
Leveraging Cloud Computing Resources to Automate and Optimize Probabilistic Flood Analyses
S Lawler, MM Morsy, S Esfandiary, BT Essawy, M Mampara
AGU Fall Meeting Abstracts 2019, IN13B-0713, 2019
Data processing workflows to support reproducible data-drive research in hydrology
JL Goodall, BT Essawy, H Xu, A Rajasekar, RW Moore
AGU 2015 Fall Meeting, 2015
Leveraging Cloud Computing Resources to Automate and Optimize Probabilistic Flood Analyses
MM Morsy, S Lawler, S Esfandiary, BT Essawy, M Mampara
AGU Fall Meeting 2019, 2019
Leveraging Scientific Cyberinfrastructures to Achieve Computational Hydrologic Model Reproducibility
BT Essawy, JM Sadler, JL Goodall, D Voce, Y CHOI, MM Morsy, Z Yuan, ...
AGU Fall Meeting Abstracts, 2018
Illustrating Hydroshare's Functionality for Supporting FAIR Data Principles through an Example Use Case and Reproducibility Workshop
JM Sadler, BT Essawy, JL Goodall, DG Tarboton
AGU Fall Meeting Abstracts 2018, ED53C-14, 2018
Sciunits: Reusable Research Objects
T Malik, Z Yuan, BT Essawy, AM Castronova, T Gan, DG Tarboton, ...
AGU Fall Meeting Abstracts 2018, IN34B-10, 2018
A Semantic Model Catalog to Support Comparison and Reuse
JG Daniel Garijo , Deborah Khider , Yolanda Gil , Lucas Carvalho , Bakinam ...
In Proceedings of the 9th International Congress on Environmental Modelling …, 2018
Achieving Reproducible Computational Hydrologic Models by Integrating Scientific Cyberinfrastructures
BT Essawy, JL Goodall, MM Morsy, W Zell, J Sadler, T Malik, Z Yuan, ...
GeoTrust Hub: A Platform For Sharing And Reproducing Geoscience Applications
T Malik, DG Tarboton, JL Goodall, E Choi, A Bhatt, SD Peckham, I Foster, ...
AGU Fall Meeting Abstracts 2017, IN43A-0068, 2017
Cyberinfrastructure to Support Collaborative and Reproducible Computational Hydrologic Modeling
JL Goodall, AM Castronova, C Bandaragoda, MM Morsy, JM Sadler, ...
AGU Fall Meeting Abstracts 2017, H14H-05, 2017
The Geoscience Paper of the Future: Best Practices for Documenting and Sharing Research from Data to Software to Provenance
X Yu, Y Gil, CH David, I Demir, BT Essawy, RW Fulweiler, JL Goodall, ...
2016 AGU Fall Meeting, 2016
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