An iterative stochastic ensemble method for parameter estimation of subsurface flow models. - Ahmed H. Elsheikh; Mary F. Wheeler; Ibrahim Hoteit (J. Comput. Phys., 2013)

Non-linear Petrov-Galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods. - Fangxin Fang; Christopher C. Pain; I. M. Navon; Ahmed H. Elsheikh; Juan Du 011; Dunhui Xiao (J. Comput. Phys., 2013)

A consistent octree hanging node elimination algorithm for hexahedral mesh generation. - Ahmed H. Elsheikh; Mustafa Elsheikh (Adv. Eng. Softw., 2014)

A reliable triangular mesh intersection algorithm and its application in geological modelling. - Ahmed H. Elsheikh; Mustafa Elsheikh (Eng. Comput., 2014)

Hybrid nested sampling algorithm for Bayesian model selection applied to inverse subsurface flow problems. - Ahmed H. Elsheikh; Mary F. Wheeler; Ibrahim Hoteit (J. Comput. Phys., 2014)

Accelerating Monte Carlo Markov chains with proxy and error models. - Laureline Josset; Vasily V. Demyanov; Ahmed H. Elsheikh; Ivan Lunati (Comput. Geosci., 2015)

DR-RNN: A deep residual recurrent neural network for model reduction. - J. Nagoor Kani; Ahmed H. Elsheikh (CoRR, 2017)

Parametric generation of conditional geological realizations using generative neural networks. - Shing Chan; Ahmed H. Elsheikh (CoRR, 2018)

Exemplar-based synthesis of geology using kernel discrepancies and generative neural networks. - Shing Chan; Ahmed H. Elsheikh (CoRR, 2018)

Reduced order modeling of subsurface multiphase flow models using deep residual recurrent neural networks. - J. Nagoor Kani; Ahmed H. Elsheikh (CoRR, 2018)

A machine learning approach for efficient uncertainty quantification using multiscale methods. - Shing Chan; Ahmed H. Elsheikh (J. Comput. Phys., 2018)

Parametrization of stochastic inputs using generative adversarial networks with application in geology. - Shing Chan; Ahmed H. Elsheikh (CoRR, 2019)

Regression-based sparse polynomial chaos for uncertainty quantification of subsurface flow models. - Alexander Tarakanov; Ahmed H. Elsheikh (J. Comput. Phys., 2019)

Optimal Bayesian experimental design for subsurface flow problems. - Alexander Tarakanov; Ahmed H. Elsheikh (CoRR, 2020)

Deep Learning for Prediction of Complex Geology Ahead of Drilling. - Kristian Fossum; Sergey Alyaev; Jan Tveranger; Ahmed H. Elsheikh (ICCS (2), 2021)

Direct multi-modal inversion of geophysical logs using deep learning. - Sergey Alyaev; Ahmed H. Elsheikh (CoRR, 2022)

Generation of non-stationary stochastic fields using Generative Adversarial Networks with limited training data. - Alhasan Abdellatif; Ahmed H. Elsheikh; Daniel Busby; Philippe Berthet (CoRR, 2022)

Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network. - Sergey Alyaev; Jan Tveranger; Kristian Fossum; Ahmed H. Elsheikh (CoRR, 2022)

Robust optimal well control using an adaptive multi-grid reinforcement learning framework. - Atish Dixit; Ahmed H. Elsheikh (CoRR, 2022)

A Multilevel Reinforcement Learning Framework for PDE-based Control. - Atish Dixit; Ahmed H. Elsheikh (CoRR, 2022)

Stochastic optimal well control in subsurface reservoirs using reinforcement learning. - Atish Dixit; Ahmed H. Elsheikh (Eng. Appl. Artif. Intell., 2022)

Generating unrepresented proportions of geological facies using Generative Adversarial Networks. - Alhasan Abdellatif; Ahmed H. Elsheikh; Gavin Graham; Daniel Busby; Philippe Berthet (Comput. Geosci., 2022)

Verification of a real-time ensemble-based method for updating earth model based on GAN. - Kristian Fossum; Sergey Alyaev; Jan Tveranger; Ahmed H. Elsheikh (J. Comput. Sci., 2022)

Generating Infinite-Resolution Texture using GANs with Patch-by-Patch Paradigm. - Alhasan Abdellatif; Ahmed H. Elsheikh (CoRR, 2023)

Gym-preCICE: Reinforcement learning environments for active flow control. - Mosayeb Shams; Ahmed H. Elsheikh (SoftwareX, 2023)

A Deep Semi-Supervised Learning Approach for Seismic Reflectivity Inversion. - Sharif Rahman; Ahmed H. Elsheikh; Makky S. Jaya (IEEE Trans. Geosci. Remote. Sens., 2024)

A Deep-Learning Iterative Stacked Approach for Prediction of Reactive Dissolution in Porous Media. - Marcos V. M. Cirne; Hannah Menke; Alhasan Abdellatif; Julien Maes; Florian Doster; Ahmed H. Elsheikh (CoRR, 2025)

DISTINGUISH Workflow: A New Paradigm of Dynamic Well Placement Using Generative Machine Learning. - Sergey Alyaev; Kristian Fossum; Hibat Errahmen Djecta; Jan Tveranger; Ahmed H. Elsheikh (CoRR, 2025)

Benchmark Dataset for Pore-Scale CO2-Water Interaction. - Alhasan Abdellatif; Hannah Menke; Julien Maes; Ahmed H. Elsheikh; Florian Doster (CoRR, 2025)