Optimization of composite forming processes using nonlinear thermal models and the proper generalized decomposition. - Chady Ghnatios (ACTEA, 2016)

Poroelastic properties identification through micro indentation modeled by using the proper generalized decomposition. - Chady Ghnatios; Christian Mathis; Francisco Chinesta (ACTEA, 2016)

On the use of model order reduction for simulating automated fibre placement processes. - Nicolas Bur; Pierre Joyot; Chady Ghnatios; Pierre Villon; Elías Cueto; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2016)

A reduced order model based manifold technique for automated defect judging, Application to structural holes. - Chady Ghnatios; Alexios Rustom; Ghazi Asmar; Elie Chakar (ICM, 2017)

A Simulation App based on reduced order modeling for manufacturing optimization of composite outlet guide vanes. - José Vicente Aguado; Domenico Borzacchiello; Chady Ghnatios; François Lebel; Ram Upadhyay; Christophe Binetruy; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2017)

Modeling Elastic Shock In Isotropic Solids: Solving The Uniaxial Shock Problem. - Hadi al Boustany; Chady Ghnatios (ACTEA, 2019)

Automated Calibration Machine for Spirometers. - Pamela Chaaya; Bedouin Sassiya; Chady Ghnatios; Abdallah Kassem (ACTEA, 2019)

Estimation of power-law rheological parameters for non-Newtonian fluids using the vane test. - Chady Ghnatios; Gérard-Philippe Zéhil (ACTEA, 2019)

Asthma Device Calibrator (ADC). - Bedouin Sassiya; Pamela Chaaya; Chady Ghnatios; Abdallah Kassem (EMBC, 2019)

Optimized tabu search estimation of wear characteristics and cutting forces in compact core drilling of basalt rock using PCD tool inserts. - Ré-Mi Hage; Ilige S. Hage; Chady Ghnatios; I. S. Jawahir; Ramsey F. Hamade (Comput. Ind. Eng., 2019)

Data-Driven GENERIC Modeling of Poroviscoelastic Materials. - Chady Ghnatios; Icíar Alfaro; David González 002; Francisco Chinesta; Elías Cueto (Entropy, 2019)

On the Proper Generalized Decomposition applied to microwave processes involving multilayered components. - H. Tertrais; Rubén Ibáñez; Anais Barasinski; Chady Ghnatios; Francisco Chinesta (Math. Comput. Simul., 2019)

A nonparametric probabilistic method to enhance PGD solutions with data-driven approach, application to the automated tape placement process. - Chady Ghnatios; Anais Barasinski (Adv. Model. Simul. Eng. Sci., 2021)

Advanced modeling and simulation using model reduction techniques and digital twins. (Modélisation et simulation avancée en utilisant les techniques de réduction de modèles et de jumeaux digitaux). - Chady Ghnatios (2022)

On the High-Resolution Discretization of the Maxwell Equations in a Composite Tape and the Heating Effects Induced by the Dielectric Losses. - Chady Ghnatios; Anais Barasinski; Francisco Chinesta (Comput., 2022)

A Regularized Real-Time Integrator for Data-Driven Control of Heating Channels. - Chady Ghnatios; Victor Champaney; Angelo Pasquale; Francisco Chinesta (Comput., 2022)

Functional Parametric Elasto-Dynamics for Efficient Multicomponent Design. - Jiajun Wu 015; Chady Ghnatios; Philippe Mordillat; Yves Tourbier; Francisco Chinesta (Comput., 2022)

First Steps in Probabilistic Hybrid Twin Extrapolation Based on Nonparametric Probabilistic Method and Machine Learning Algorithms. - Chady Ghnatios (ACTEA, 2023)

Acceleration of a Physics-Based Machine Learning Approach for Modeling and Quantifying Model-Form Uncertainties and Performing Model Updating. - Marie-Jo Azzi; Chady Ghnatios; Philip Avery; Charbel Farhat (J. Comput. Inf. Sci. Eng., 2023)

Rank Reduction Autoencoders - Enhancing interpolation on nonlinear manifolds. - Jad Mounayer; Sebastian Rodriguez; Chady Ghnatios; Charbel Farhat; Francisco Chinesta (CoRR, 2024)

Correction: Ghnatios et al. A Regularized Real-Time Integrator for Data-Driven Control of Heating Channels. Computation 2022, 10, 176. - Chady Ghnatios; Victor Champaney; Angelo Pasquale; Francisco Chinesta (Comput., 2024)

Assessing Sensor Integrity for Nuclear Waste Monitoring Using Graph Neural Networks. - Pierre Hembert; Chady Ghnatios; Julien Cotton; Francisco Chinesta (Sensors, 2024)

Optimal trajectory planning combining model-based and data-driven hybrid approaches. - Chady Ghnatios; Daniele Di Lorenzo; Victor Champaney; Amine Ammar; Elías Cueto; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2024)

A hybrid twin based on machine learning enhanced reduced order model for real-time simulation of magnetic bearings. - Chady Ghnatios; Sebastian Rodriguez; Jerome Tomezyk; Yves Dupuis; Joel Mouterde; Joaquim Da Silva; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2024)

Machine Learning (ML) based Reduced Order Modeling (ROM) for linear and non-linear solid and structural mechanics. - Mikhael Tannous; Chady Ghnatios; Eivind Fonn; Trond Kvamsdal; Francisco Chinesta (CoRR, 2025)

Variational Rank Reduction Autoencoder. - Jad Mounayer; Alicia Tierz; Jerome Tomezyk; Chady Ghnatios; Francisco Chinesta (CoRR, 2025)

Physics-informed data-driven closure relation for dilute short fiber suspensions. - Bruno Ramoa; Chady Ghnatios; João Miguel Nóbrega; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2025)

A reduced simulation applied to viscoelastic fatigue of polymers using a time multi-scale approach based on partition of Unity method. - Sebastian Rodriguez; Angelo Pasquale; Jad Mounayer; Diego Canales; Marianne Beringhier; Chady Ghnatios; Amine Ammar; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2025)

Machine learning (ML) based reduced order modelling (ROM) for linear and non-linear solid and structural mechanics. - Mikhael Tannous; Chady Ghnatios; Eivind Fonn; Trond Kvamsdal; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2025)