Ahmed Attia

According to our database, Ahmed Attia authored at least 20 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments.

Abhijit Chowdhary, Shady E. Ahmed, Ahmed Attia

ACM Trans. Math. Softw., June, 2024

Robust optimal design of large-scale Bayesian nonlinear inverse problems.

Abhijit Chowdhary, Ahmed Attia, Alen Alexanderian

CoRR, 2024

Probabilistic Approach to Black-Box Binary Optimization with Budget Constraints: Application to Sensor Placement.

Ahmed Attia

CoRR, 2024

2023

Centralized calibration of power system dynamic models using variational data assimilation.

Ahmed Attia, Daniel Adrian Maldonado, Emil M. Constantinescu, Mihai Anitescu

CoRR, 2023

Robust A-Optimal Experimental Design for Bayesian Inverse Problems.

Ahmed Attia, Sven Leyffer, Todd S. Munson

CoRR, 2023

PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments.

Ahmed Attia, Shady E. Ahmed

CoRR, 2023

2022

Optimal Experimental Design for Inverse Problems in the Presence of Observation Correlations.

Ahmed Attia, Emil M. Constantinescu

SIAM J. Sci. Comput., August, 2022

Stochastic Learning Approach for Binary Optimization: Application to Bayesian Optimal Design of Experiments.

Ahmed Attia, Sven Leyffer, Todd S. Munson

SIAM J. Sci. Comput., 2022

2021

Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments.

Ahmed Attia, Sven Leyffer, Todd S. Munson

CoRR, 2021

2019

Brain-in-Car: A Brain Activity-based Emotion Recognition Embedded System for Automotive.

Abdelrahman El-Amin, Seif Eldawlatly, Ahmed Attia, Omar Hammad, Osama Nasr, Osama Ghozlan, Remon Raouf, Ahmed M. Hamed, Hany Eldawlatly, Magdy A. El-Moursy

Proceedings of the IEEE International Conference of Vehicular Electronics and Safety, 2019

Tuning Covariance Localization Using Machine Learning.

Azam S. Zavar Moosavi, Ahmed Attia, Adrian Sandu

Proceedings of the Computational Science - ICCS 2019, 2019

2018

An Optimal Experimental Design Framework for Adaptive Inflation and Covariance Localization for Ensemble Filters.

Ahmed Attia, Emil M. Constantinescu

CoRR, 2018

Goal-Oriented Optimal Design of Experiments for Large-Scale Bayesian Linear Inverse Problems.

Ahmed Attia, Alen Alexanderian, Arvind K. Saibaba

CoRR, 2018

A Machine Learning Approach to Adaptive Covariance Localization.

Azam S. Zavar Moosavi, Ahmed Attia, Adrian Sandu

CoRR, 2018

2017

DATeS: A Highly-Extensible Data Assimilation Testing Suite.

Ahmed Attia, Adrian Sandu

CoRR, 2017

2016

The Reduced-Order Hybrid Monte Carlo Sampling Smoother.

Ahmed Attia, Razvan Stefanescu, Adrian Sandu

CoRR, 2016

Cluster Sampling Filters for Non-Gaussian Data Assimilation.

Ahmed Attia, Azam S. Zavar Moosavi, Adrian Sandu

CoRR, 2016

2015

A Hybrid Monte-Carlo Sampling Smoother for Four Dimensional Data Assimilation.

Ahmed Attia, Vishwas Rao, Adrian Sandu

CoRR, 2015

2014

A Sampling Filter for Non-Gaussian Data Assimilation.

Ahmed Attia, Adrian Sandu

CoRR, 2014

A Sampling Approach for Four Dimensional Data Assimilation.

Ahmed Attia, Vishwas Rao, Adrian Sandu

Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014