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ORCIDAhmed Attia
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2020 – today
- 2024
[j3]Abhijit Chowdhary
, Shady E. Ahmed, Ahmed Attia:
PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments. ACM Trans. Math. Softw. 50(2): 11:1-11:22 (2024)- [i14]Ahmed Attia:
Probabilistic Approach to Black-Box Binary Optimization with Budget Constraints: Application to Sensor Placement. CoRR abs/2406.05830 (2024) - [i13]Abhijit Chowdhary, Ahmed Attia, Alen Alexanderian:
Robust optimal design of large-scale Bayesian nonlinear inverse problems. CoRR abs/2409.09137 (2024) - 2023
- [i12]Ahmed Attia, Shady E. Ahmed:
PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments. CoRR abs/2301.08336 (2023) - [i11]Ahmed Attia, Sven Leyffer, Todd S. Munson:
Robust A-Optimal Experimental Design for Bayesian Inverse Problems. CoRR abs/2305.03855 (2023) - [i10]Ahmed Attia, Daniel Adrian Maldonado, Emil M. Constantinescu, Mihai Anitescu:
Centralized calibration of power system dynamic models using variational data assimilation. CoRR abs/2311.07676 (2023) - 2022
- [j2]Ahmed Attia, Sven Leyffer, Todd S. Munson:
Stochastic Learning Approach for Binary Optimization: Application to Bayesian Optimal Design of Experiments. SIAM J. Sci. Comput. 44(2): 395- (2022) - [j1]Ahmed Attia, Emil M. Constantinescu:
Optimal Experimental Design for Inverse Problems in the Presence of Observation Correlations. SIAM J. Sci. Comput. 44(4): 2808- (2022) - 2021
- [i9]Ahmed Attia, Sven Leyffer, Todd S. Munson:
Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments. CoRR abs/2101.05958 (2021)
2010 – 2019
- 2019
- [c3]Azam S. Zavar Moosavi, Ahmed Attia, Adrian Sandu:
Tuning Covariance Localization Using Machine Learning. ICCS (4) 2019: 199-212 - [c2]Abdelrahman El-Amin, Seif Eldawlatly, Ahmed Attia, Omar Hammad, Osama Nasr, Osama Ghozlan, Remon Raouf, Ahmed M. Hamed, Hany Eldawlatly, Magdy A. El-Moursy:
Brain-in-Car: A Brain Activity-based Emotion Recognition Embedded System for Automotive. ICVES 2019: 1-5 - 2018
- [i8]Azam S. Zavar Moosavi, Ahmed Attia, Adrian Sandu:
A Machine Learning Approach to Adaptive Covariance Localization. CoRR abs/1801.00548 (2018) - [i7]Ahmed Attia, Alen Alexanderian, Arvind K. Saibaba:
Goal-Oriented Optimal Design of Experiments for Large-Scale Bayesian Linear Inverse Problems. CoRR abs/1802.06517 (2018) - [i6]Ahmed Attia, Emil M. Constantinescu:
An Optimal Experimental Design Framework for Adaptive Inflation and Covariance Localization for Ensemble Filters. CoRR abs/1806.10655 (2018) - 2017
- [i5]Ahmed Attia, Adrian Sandu:
DATeS: A Highly-Extensible Data Assimilation Testing Suite. CoRR abs/1704.05594 (2017) - 2016
- [i4]Ahmed Attia, Razvan Stefanescu, Adrian Sandu:
The Reduced-Order Hybrid Monte Carlo Sampling Smoother. CoRR abs/1601.00129 (2016) - [i3]Ahmed Attia, Azam S. Zavar Moosavi, Adrian Sandu:
Cluster Sampling Filters for Non-Gaussian Data Assimilation. CoRR abs/1607.03592 (2016) - 2015
- [i2]Ahmed Attia, Vishwas Rao, Adrian Sandu:
A Hybrid Monte-Carlo Sampling Smoother for Four Dimensional Data Assimilation. CoRR abs/1505.04724 (2015) - 2014
- [c1]Ahmed Attia, Vishwas Rao, Adrian Sandu:
A Sampling Approach for Four Dimensional Data Assimilation. DyDESS 2014: 215-226 - [i1]Ahmed Attia, Adrian Sandu:
A Sampling Filter for Non-Gaussian Data Assimilation. CoRR abs/1403.7137 (2014)
Coauthor Index
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last updated on 2024-10-14 23:29 CEST by the dblp team
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