Publications
This section contains publications published by ISI over the past several decades.
2021
A Secure Gateway for Enabling Application Specific Integrated Circuit Design Collaborations
Steve Bogol, Paul Brenner, Adam Brinckman, Ewa Deelman, Rafael Ferreira da Silva, Sandeep Gupta, Jarek Nabrzyski, Soowang Park, Damian Perez, Sarah Rucker, Mats Rynge, Ian J Taylor, Karan Vahi, Matt Vander Werf, Sebastian Wyngaard
SIM-SITU: A Framework for the Faithful Simulation of in-situ Workflows
Valentin Honoré, Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Ewa Deelman, Frédéric Suter
arXiv preprint arXiv:2112.15067, 2021
FlyNet: a platform to support scientific workflows from the edge to the core for UAV applications
Eric Lyons, Hakan Saplakoglu, Michael Zink, Komal Thareja, Anirban Mandal, Chengyi Qu, Songjie Wang, Prasad Calyam, George Papadimitriou, Ryan Tanaka, Ewa Deelman
Proceedings of the 14th IEEE/ACM International Conference on Utility and …, 2021
Emerging frameworks for advancing scientific workflows research, development, and education
Henri Casanova, Ewa Deelman, Sandra Gesing, Michael Hildreth, Stephen Hudson, William Koch, Jeffrey Larson, Mary Ann McDowell, Natalie Meyers, John-Luke Navarro, George Papadimitriou, Ryan Tanaka, Ian Taylor, Douglas Thain, Stefan M Wild, Rosa Filgueira, Rafael Ferreira da Silva
2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 74-80, 2021
A performance characterization of scientific machine learning workflows
Patrycja Krawczuk, George Papadimitriou, Ryan Tanaka, Tu Mai Anh Do, Srujana Subramanya, Shubham Nagarkar, Aditi Jain, Kelsie Lam, Anirban Mandal, Loïc Pottier, Ewa Deelman
2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 58-65, 2021
Lightweight GPU Monitoring Extension for Pegasus Kickstart
George Papadimitriou
2021 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS)., 2021
Predicting Flash Floods in the Dallas-Fort Worth Metroplex Using Workflows and Cloud Computing
Eric Lyons, Dong-Jun Seo, Sunghee Kim, Hamideh Habibi, George Papadimitriou, Ryan Tanaka, Ewa Deelman, Michael Zink, Anirban Mandal
2021 IEEE 17th International Conference on eScience (eScience), 259-261, 2021
A roadmap to robust science for high-throughput applications: The scientists’ perspective
Michela Taufer, Ewa Deelman, R Ferreira da Silva, Trilce Estrada, M Hall
2021 IEEE 17th International Conference on eScience (eScience), 247-248, 2021
CrisisFlow: multimodal representation learning workflow for crisis computing
Patrycja Krawczuk, Shubham Nagarkar, Ewa Deelman
2021 IEEE 17th International Conference on eScience (eScience), 264-266, 2021
A roadmap to robust science for high-throughput applications: The developers’ perspective
Michela Taufer, Ewa Deelman, R Ferreira da Silva, Trilce Estrada, M Hall, Miron Livny
2021 IEEE International Conference on Cluster Computing (CLUSTER), 807-808, 2021
Assessing resource provisioning and allocation of ensembles of in situ workflows
Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Silvina Caíno-Lores, Michela Taufer, Ewa Deelman
50th International Conference on Parallel Processing Workshop, 1-10, 2021
Anomaly detection in scientific workflows using end-to-end execution gantt charts and convolutional neural networks
Patrycja Krawczuk, George Papadimitriou, Shubham Nagarkar, Mariam Kiran, Anirban Mandal, Ewa Deelman
Practice and Experience in Advanced Research Computing, 1-5, 2021
System and methods for graphic encoding of macromolecules for efficient high-throughput analysis
TP ESTRADA-PIEDRA, J Benson, H Carrillo-cabada, E Deelman, ...
US Patent App. 16/761,663, 2021
Mining workflows for anomalous data transfers
Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
2021 IEEE/ACM 18th International Conference on Mining Software Repositories …, 2021
Network security using inflated files for anomaly detection
MK Monaco, D Negron, B Satira, M Collins
US Patent 10,924,502, 2021
End-to-end generative zero-shot learning via few-shot learning
Georgios Chochlakis, Efthymios Georgiou, Alexandros Potamianos
arXiv preprint arXiv:2102.04379, 2021
Investigating transfer learning for characterization and performance prediction in unconventional reservoirs
Jodel Cornelio, Syamil Mohd Razak, Atefeh Jahandideh, Behnam Jafarpour, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya
SPE Middle East Oil and Gas Show and Conference, D031S031R007, 2021
Integrating deep learning and physics-based models for improved production prediction in unconventional reservoirs
Syamil Mohd Razak, Jodel Cornelio, Atefeh Jahandideh, Behnam Jafarpour, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya
SPE Middle East Oil and Gas Show and Conference, D031S031R003, 2021
Physics-assisted transfer learning for production prediction in unconventional reservoirs
J Cornelio, S Mohd Razak, A Jahandideh, Y Cho, HH Liu, R Vaidya, B Jafarpour
Unconventional Resources Technology Conference, 26–28 July 2021, 3669-3682, 2021
A physics-guided deep learning predictive model for robust production forecasting and diagnostics in unconventional wells
Syamil Mohd Razak, Jodel Cornelio, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour
Unconventional Resources Technology Conference, 26–28 July 2021, 1843-1850, 2021