Sparse signal processing using iterative method with adaptive thresholding (IMAT) F Marvasti, M Azghani, P Imani, P Pakrouh, SJ Heydari, A Golmohammadi, ... 2012 19th International Conference on Telecommunications (ICT), 1-6, 2012 | 46 | 2012 |
Simultaneous geologic scenario identification and flow model calibration with group-sparsity formulations A Golmohammadi, B Jafarpour Advances in water resources 92, 208-227, 2016 | 20 | 2016 |
Group‐sparsity regularization for ill‐posed subsurface flow inverse problems A Golmohammadi, MRM Khaninezhad, B Jafarpour Water Resources Research 51 (10), 8607-8626, 2015 | 20 | 2015 |
Static engine and neural network for a cognitive reservoir system A Golmohammadi, SF Nia US Patent 11,143,789, 2021 | 12 | 2021 |
SustainGym: Reinforcement learning environments for sustainable energy systems C Yeh, V Li, R Datta, J Arroyo, N Christianson, C Zhang, Y Chen, ... Advances in Neural Information Processing Systems 36, 2024 | 10 | 2024 |
Discrete regularization for calibration of geologic facies against dynamic flow data MR Khaninezhad, A Golmohammadi, B Jafarpour Water Resources Research 54 (4), 2523-2543, 2018 | 10 | 2018 |
Deep learning seismic facies identification: the total journey at seam ai hackathon L Boillot, A Golmohammadi, S Guillon, F Pivot 82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021 | 7 | 2021 |
Robustifying machine-learned algorithms for efficient grid operation NC Christopher Yeh, Tongxin Li, Mahdi Torabi Rad, Azarang Golmohammadi, Adam ... NeurIPS 2022 - Workshop on Tackling Climate Change with Machine Learning, 2022 | 4 | 2022 |
Reducing uncertainty in conceptual prior models of complex geologic systems via integration of flow response data A Golmohammadi, B Jafarpour Computational Geosciences 24 (1), 161-180, 2020 | 4 | 2020 |
SustainGym: A Benchmark Suite of Reinforcement Learning for Sustainability Applications C Yeh, V Li, R Datta, Y Yue, A Wierman Thirty-seventh Conference on Neural Information Processing Systems Datasets …, 2023 | 3 | 2023 |
A pattern-matching method for flow model calibration under training image constraint R Khaninezhad, A Golmohammadi, B Jafarpour Computational Geosciences 23, 813-828, 2019 | 3 | 2019 |
Pattern-based calibration of complex subsurface flow models against dynamic response data A Golmohammadi, MRM Khaninezhad, B Jafarpour Advances in Water Resources 121, 388-405, 2018 | 3 | 2018 |
System for improved reservoir exploration and production SF Nia, ZH Nolan, A Golmohammadi US Patent 11,422,284, 2022 | 2 | 2022 |
Exploiting sparsity in solving PDE-constrained inverse problems: Application to subsurface flow model calibration A Golmohammadi, MRM Khaninezhad, B Jafarpour Frontiers in PDE-Constrained Optimization, 399-434, 2018 | 2 | 2018 |
Pattern-Based History Matching for Reservoirs with Complex Geologic Facies A Golmohammadi, MR Khaninezhad, B Jafarpour SPE Western Regional Meeting, D041S008R004, 2018 | 1 | 2018 |
Feature Learning for Imaging and Prior Model Selection A Golmohammadi University of Southern California, 2018 | 1 | 2018 |
Physics-informed deep learning and linear programming for efficient optimization of combined cycle power plants MM Hosseini, S Meguerdijian, A Golmohammadi Electric Power Systems Research 232, 110441, 2024 | | 2024 |
A Pattern-Based Approach For Geologic Scenario Identification And Reservoir Model Calibration A Golmohammadi, B Jafarpour ECMOR XVI-16th European Conference on the Mathematics of Oil Recovery 2018 …, 2018 | | 2018 |
Training-Image Assisted History Matching of Complex Multiple-Point Statistical Facies Models: A Pattern-Based Approach M Khaninezhad, A Golmohammadi, B Jafarpour SPE Western Regional Meeting, D041S010R005, 2018 | | 2018 |
Pattern-Based Inverse Modeling for Characterization of Subsurface Flow Models with Complex Geologic Heterogeneity B Jafarpour, MRM Khaninezhad, A Golmohammadi 2017 AGU Fall Meeting, 2017 | | 2017 |