Krylov-based controller reduction for large-scale systems. - Serkan Gugercin; Athanasios C. Antoulas; Christopher A. Beattie; Eduardo Gildin (CDC, 2004)

An educational perspective to model and controller reduction of dynamical systems. - Eduardo Gildin; Robert H. Bishop; Athanasios C. Antoulas; Danny C. Sorensen (CDC, 2007)

Local-global multiscale model reduction for flows in high-contrast heterogeneous media. - Yalchin Efendiev; Juan Galvis; Eduardo Gildin (J. Comput. Phys., 2012)

Permeability Parametrization Using Higher Order Singular Value Decomposition (HOSVD). - Sardar Afra; Eduardo Gildin (ICMLA (2), 2013)

Heterogeneous reservoir characterization using efficient parameterization through higher order SVD (HOSVD). - Sardar Afra; Eduardo Gildin; Mohammadali Tarrahi (ACC, 2014)

Local-global model reduction of parameter-dependent, single-phase flow models via balanced truncation. - Michael Presho; Anastasiya Protasov; Eduardo Gildin (J. Comput. Appl. Math., 2014)

Online Adaptive Local-Global Model Reduction for Flows in Heterogeneous Porous Media. - Yalchin Efendiev; Eduardo Gildin; Yanfang Yang (Comput., 2016)

Tensor based geology preserving reservoir parameterization with Higher Order Singular Value Decomposition (HOSVD). - Sardar Afra; Eduardo Gildin (Comput. Geosci., 2016)

POD-based model reduction for stabilized finite element approximations of shallow water flows. - Alexander Lozovskiy; Matthew W. Farthing; Chris E. Kees; Eduardo Gildin (J. Comput. Appl. Math., 2016)

Rigorous Integrated Evolutionary Workflow for Optimal Exploitation of Unconventional Gas Assets. - Tatyana Plaksina; Eduardo Gildin (Int. J. Energy Optim. Eng., 2017)

Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations. - Burcu Beykal; Fani Boukouvala; Christodoulos A. Floudas; Nadav Sorek; Hardikkumar Zalavadia; Eduardo Gildin (Comput. Chem. Eng., 2018)

Non-Intrusive Parametric Model Order Reduction With Error Correction Modeling for Changing Well Locations Using a Machine Learning Framework. - Hardikkumar Zalavadia; Eduardo Gildin (CoRR, 2020)

DREAMS: Drilling and Extraction Automated System. - Mohamed Khaled; Srivignesh Srinivasan; Alkassoum Toure; Muhao Chen 002; Emily Kincaid; Thomas Lopaz; Luis Rodriguez; Jessica Ezemba; Ayodeji Adeniran; Teresa Valdez; Uthej Vattipalli; Le Linh; et al. (CoRR, 2021)

Physics-Aware Deep-Learning-Based Proxy Reservoir Simulation Model Equipped With State and Well Output Prediction. - Emilio Jose Rocha Coutinho; Marcelo Dall'Aqua; Eduardo Gildin (Frontiers Appl. Math. Stat., 2021)

Physics-informed Convolutional Recurrent Surrogate Model for Reservoir Simulation with Well Controls. - Jungang Chen; Eduardo Gildin; John E. Killough (CoRR, 2023)

Transfer learning-based physics-informed convolutional neural network for simulating flow in porous media with time-varying controls. - Jungang Chen; Eduardo Gildin; John E. Killough (CoRR, 2023)

Investigation of proper orthogonal decomposition for echo state networks. - Jean Panaioti Jordanou; Eric Aislan Antonelo; Eduardo Camponogara; Eduardo Gildin (Neurocomputing, 2023)

Physics-informed neural networks with adaptive localized artificial viscosity. - Emilio Jose Rocha Coutinho; Marcelo Dall'Aqua; Levi D. McClenny; Ming Zhong 008; Ulisses Braga-Neto; Eduardo Gildin (J. Comput. Phys., 2023)

Data-Driven Estimation of Flowing Bottom-Hole Pressure in Petroleum Wells Using Long Short-Term Memory. - Mateus A. Fernandes; Eduardo Gildin; Marcio Augusto Sampaio (ICMLA, 2024)

Optimization of Pressure Management Strategies for Geological CO2 Sequestration Using Surrogate Model-based Reinforcement Learning. - Jungang Chen; Eduardo Gildin; Georgy Kompantsev (CoRR, 2024)

Multi-Step Embed to Control: A Novel Deep Learning-based Approach for Surrogate Modelling in Reservoir Simulation. - Jungang Chen; Eduardo Gildin; John E. Killough (CoRR, 2024)

Neural operator-based proxy for reservoir simulations considering varying well settings, locations, and permeability fields. - Daniel Badawi; Eduardo Gildin (Comput. Geosci., 2025)

Identifying large-scale linear parameter varying systems with dynamic mode decomposition methods. - Jean Panaioti Jordanou; Eduardo Camponogara; Eduardo Gildin (J. Comput. Phys., 2025)