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ORCIDGeorge Papadimitriou 0002
Person information
- affiliation: University of Southern California, Information Sciences Institute, Marina del Rey, CA, USA
Other persons with the same name
- George Papadimitriou 0001
![[0000-0002-3772-5019]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3772-5019")
— University of Athens, Department of Informatics and Telecommunications, Greece - George Papadimitriou 0003 (aka: Georgios Papadimitriou 0003) — University of Patras, Department of Computer Engineering and Informatics, Greece
- George Papadimitriou 0004 — University of Piraeus, Department of Technology Education and Digital Systems, Greece
- George Papadimitriou 0005 — National and Kapodistrian University of Athens, Greece
Other persons with a similar name
- George M. Papadimitriou — Massachusetts General Hospital, Boston, MA, USA
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2020 – today
- 2024
[c21]Hamza Safri, George Papadimitriou, Frédéric Desprez, Ewa Deelman:
A Workflow Management System Approach To Federated Learning: Application to Industry 4.0. DCOSS-IoT 2024: 259-263- [c20]Hamza Safri, George Papadimitriou, Ewa Deelman:
Dynamic Tracking, MLOps, and Workflow Integration: Enabling Transparent Reproducibility in Machine Learning. e-Science 2024: 1-10 - [i6]Krishnan Raghavan, George Papadimitriou, Hongwei Jin, Anirban Mandal, Mariam Kiran, Prasanna Balaprakash, Ewa Deelman:
Advancing Anomaly Detection in Computational Workflows with Active Learning. CoRR abs/2405.06133 (2024) - [i5]Hongwei Jin, George Papadimitriou, Krishnan Raghavan, Pawel Zuk, Prasanna Balaprakash, Cong Wang, Anirban Mandal, Ewa Deelman:
Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning. CoRR abs/2407.17545 (2024) - 2023
- [j7]Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash:
Graph neural networks for detecting anomalies in scientific workflows. Int. J. High Perform. Comput. Appl. 37(3-4): 394-411 (2023) - [j6]Alicia Esquivel Morel, Chengyi Qu, Prasad Calyam, Cong Wang, Komal Thareja, Anirban Mandal, Eric Lyons, Michael Zink, George Papadimitriou, Ewa Deelman:
FlyNet: Drones on the Horizon. IEEE Internet Comput. 27(3): 35-43 (2023) - [c19]Andrew Grote, Eric Lyons, Komal Thareja, George Papadimitriou, Ewa Deelman, Anirban Mandal, Prasad Calyam, Michael Zink:
FlyPaw: Optimized Route Planning for Scientific UAVMissions. e-Science 2023: 1-10 - [c18]Alicia Esquivel Morel, Prasad Calyam, Chengyi Qu, Durbek Gafurov, Cong Wang, Komal Thareja, Anirban Mandal, Eric Lyons, Michael Zink, George Papadimitriou, Ewa Deelman:
Network Services Management using Programmable Data Planes for Visual Cloud Computing. ICNC 2023: 130-136 - [c17]Alicia Esquivel Morel, Durbek Gafurov, Prasad Calyam, Cong Wang, Komal Thareja, Anirban Mandal, Eric Lyons, Michael Zink, George Papadimitriou, Ewa Deelman:
Experiments on Network Services for Video Transmission using FABRIC Instrument Resources. INFOCOM Workshops 2023: 1-6 - [c16]Imtiaz Mahmud, George Papadimitriou, Cong Wang, Mariam Kiran, Anirban Mandal, Ewa Deelman:
Elephants Sharing the Highway: Studying TCP Fairness in Large Transfers over High Throughput Links. SC Workshops 2023: 806-818 - [i4]George Papadimitriou, Hongwei Jin, Cong Wang, Krishnan Raghavan, Anirban Mandal, Prasanna Balaprakash, Ewa Deelman:
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection. CoRR abs/2306.09930 (2023) - [i3]Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Ewa Deelman, Prasanna Balaprakash:
Self-supervised Learning for Anomaly Detection in Computational Workflows. CoRR abs/2310.01247 (2023) - 2022
- [j5]George Papadimitriou, Eric Lyons, Cong Wang, Komal Thareja, Ryan Tanaka, Paul Ruth, Ivan Rodero, Ewa Deelman, Michael Zink, Anirban Mandal:
Fair sharing of network resources among workflow ensembles. Clust. Comput. 25(4): 2873-2891 (2022) - [c15]Ryan Tanaka, George Papadimitriou, Sai Charan Viswanath, Cong Wang, Eric Lyons, Komal Thareja, Chengyi Qu, Alicia Esquivel Morel, Ewa Deelman, Anirban Mandal, Prasad Calyam, Michael Zink:
Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus. CCGRID 2022: 826-833 - [c14]Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Patrycja Krawczuk, Loïc Pottier, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash:
Workflow Anomaly Detection with Graph Neural Networks. WORKS@SC 2022: 35-42 - 2021
- [j4]George Papadimitriou, Cong Wang, Karan Vahi, Rafael Ferreira da Silva, Anirban Mandal, Zhengchun Liu, Rajiv Mayani, Mats Rynge, Mariam Kiran, Vickie E. Lynch, Rajkumar Kettimuthu, Ewa Deelman, Jeffrey S. Vetter, Ian T. Foster:
End-to-end online performance data capture and analysis for scientific workflows. Future Gener. Comput. Syst. 117: 387-400 (2021) - [c13]Eric Lyons, Dong-Jun Seo, Sunghee Kim, Hamideh Habibi, George Papadimitriou, Ryan Tanaka, Ewa Deelman, Michael Zink, Anirban Mandal:
Predicting Flash Floods in the Dallas-Fort Worth Metroplex Using Workflows and Cloud Computing. e-Science 2021: 259-261 - [c12]Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies:
Mining Workflows for Anomalous Data Transfers. MSR 2021: 1-12 - [c11]Eric Lyons, Hakan Saplakoglu, Michael Zink, Komal Thareja, Anirban Mandal, Chengyi Qu, Songjie Wang, Prasad Calyam, George Papadimitriou, Ryan Tanaka, Ewa Deelman:
FlyNet: a platform to support scientific workflows from the edge to the core for UAV applications. UCC 2021: 12:1-12:10 - [c10]Patrycja Krawczuk, George Papadimitriou, Ryan Tanaka, Tu Mai Anh Do, Srujana Subramanya, Shubham Nagarkar, Aditi Jain, Kelsie Lam, Anirban Mandal, Loïc Pottier, Ewa Deelman:
A Performance Characterization of Scientific Machine Learning Workflows. WORKS 2021: 58-65 - [c9]Henri Casanova, Ewa Deelman, Sandra Gesing, Michael D. Hildreth, Stephen Hudson, William Koch, Jeffrey Larson, Mary Ann McDowell, Natalie Meyers, John-Luke Navarro, George Papadimitriou, Ryan Tanaka, Ian J. Taylor, Douglas Thain, Stefan M. Wild, Rosa Filgueira, Rafael Ferreira da Silva:
Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education. WORKS 2021: 74-80 - [c8]Patrycja Krawczuk, George Papadimitriou, Shubham Nagarkar, Mariam Kiran, Anirban Mandal, Ewa Deelman:
Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks. PEARC 2021: 26:1-26:5 - [i2]Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies:
Mining Scientific Workflows for Anomalous Data Transfers. CoRR abs/2103.12221 (2021) - 2020
- [j3]Mariam Kiran, Cong Wang, George Papadimitriou, Anirban Mandal, Ewa Deelman:
Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP. Mach. Learn. 109(5): 1127-1143 (2020) - [c7]Eric Lyons, David Westbrook, Andrew Grote, George Papadimitriou, Komal Thareja, Cong Wang, Michael Zink, Ewa Deelman, Anirban Mandal, Paul Ruth:
An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing. DDDAS 2020: 311-319 - [c6]Cong Wang, George Papadimitriou, Mariam Kiran, Anirban Mandal, Ewa Deelman:
Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques. HPEC 2020: 1-7 - [c5]George Papadimitriou, Eric Lyons, Cong Wang, Komal Thareja, Ryan Tanaka, Paul Ruth, Juan J. Villalobos, Ivan Rodero, Ewa Deelman, Michael Zink, Anirban Mandal:
Application Aware Software Defined Flows of Workflow Ensembles. INDIS@SC 2020: 10-21 - [c4]George Papadimitriou, Karan Vahi, Jason Kincl, Valentine Anantharaj, Ewa Deelman, Jack C. Wells:
Workflow Submit Nodes as a Service on Leadership Class Systems. PEARC 2020: 56-63
2010 – 2019
- 2019
- [j2]Ewa Deelman, Karan Vahi, Mats Rynge, Rajiv Mayani, Rafael Ferreira da Silva, George Papadimitriou, Miron Livny:
The Evolution of the Pegasus Workflow Management Software. Comput. Sci. Eng. 21(4): 22-36 (2019) - [j1]Rafael Ferreira da Silva, Scott Callaghan, Tu Mai Anh Do, George Papadimitriou, Ewa Deelman:
Measuring the impact of burst buffers on data-intensive scientific workflows. Future Gener. Comput. Syst. 101: 208-220 (2019) - [c3]Eric Lyons, Anirban Mandal, George Papadimitriou, Cong Wang, Komal Thareja, Paul Ruth, Juan J. Villalobos, Ivan Rodero, Ewa Deelman, Michael Zink:
Toward a Dynamic Network-Centric Distributed Cloud Platform for Scientific Workflows: A Case Study for Adaptive Weather Sensing. eScience 2019: 67-76 - [c2]Karan Vahi, Michael Zink, Mats Rynge, George Papadimitriou, Duncan A. Brown, Rajiv Mayani, Rafael Ferreira da Silva, Ewa Deelman, Anirban Mandal, Eric Lyons:
Custom Execution Environments with Containers in Pegasus-Enabled Scientific Workflows. eScience 2019: 281-290 - [c1]George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman:
Training Classifiers to Identify TCP Signatures in Scientific Workflows. INDIS@SC 2019: 61-68 - [i1]Karan Vahi, Mats Rynge, George Papadimitriou, Duncan A. Brown, Rajiv Mayani, Rafael Ferreira da Silva, Ewa Deelman, Anirban Mandal, Eric Lyons, Michael Zink:
Custom Execution Environments with Containers in Pegasus-enabled Scientific Workflows. CoRR abs/1905.08204 (2019)
Coauthor Index
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