Publications
Peer-reviewed journal articles, conference papers, and research contributions sorted by year. Click on any BibTeX citation to expand and copy.
Predicting transonic flowfields in non--homogeneous unstructured grids using autoencoder graph convolutional networks
BibTeX Citation
@article{immordino2025predicting,
title={Predicting transonic flowfields in non--homogeneous unstructured grids using autoencoder graph convolutional networks},
author={Immordino, Gabriele and Vaiuso, Andrea and Da Ronch, Andrea and Righi, Marcello},
journal={Journal of Computational Physics},
volume={524},
pages={113708},
year={2025},
publisher={Academic Press}
} Parametric Nonlinear Volterra Series via Machine Learning: Transonic Aerodynamics
BibTeX Citation
@article{immordino2025parametric,
title={Parametric Nonlinear Volterra Series via Machine Learning: Transonic Aerodynamics},
author={Immordino, Gabriele and Da Ronch, Andrea and Righi, Marcello},
journal={Journal of Aircraft},
pages={1--18},
year={2025},
publisher={American Institute of Aeronautics and Astronautics}
} Graph-Convolutional Autoencoder Frameworks for Aerodynamic Shape Predictions of the Agard Wing
BibTeX Citation
@inproceedings{massegur2025graph,
title={Graph-Convolutional Autoencoder Frameworks for Aerodynamic Shape Predictions of the Agard Wing},
author={Massegur Sampietro, David and Immordino, Gabriele and Vaiuso, Andrea and Da Ronch, Andrea and Righi, Marcello},
booktitle={AIAA SCITECH 2025 Forum},
pages={0885},
year={2025}
} Experimental Characterization of the Flutter Behavior of a Very Flexible Wing
BibTeX Citation
@inproceedings{coppotelli2025experimental,
title={Experimental Characterization of the Flutter Behavior of a Very Flexible Wing},
author={Coppotelli, Giuliano and Sbarra, Roberto G and Onofri, Ludovica and Righi, Marcello and Immordino, Gabriele and Da Ronch, Andrea},
booktitle={AIAA SCITECH 2025 Forum},
pages={1019},
year={2025}
} Multi-fidelity Transonic Aerodynamic Loads Estimation using Bayesian Neural Networks with Transfer Learning
BibTeX Citation
@article{vaiuso2025multi,
title={Multi-fidelity Transonic Aerodynamic Loads Estimation using Bayesian Neural Networks with Transfer Learning},
author={Vaiuso, Andrea and Immordino, Gabriele and Righi, Marcello and Da Ronch, Andrea},
journal={Aerospace Science and Technology},
pages={110301},
year={2025},
publisher={Elsevier}
} Spatio-temporal Graph Convolutional Autoencoder for Transonic Wing Pressure Distribution Forecasting
BibTeX Citation
@article{immordino2025spatio,
title={Spatio-temporal Graph Convolutional Autoencoder for Transonic Wing Pressure Distribution Forecasting},
author={Immordino, Gabriele and Vaiuso, Andrea and Da Ronch, Andrea and Righi, Marcello},
journal={Aerospace Science and Technology},
pages={110516},
year={2025},
publisher={Elsevier}
} Methods for Multi-objective Optimization PID Controller for quadrotor UAVs
BibTeX Citation
@article{vaiuso2025methods,
title={Methods for Multi-objective Optimization PID Controller for quadrotor UAVs},
author={Vaiuso, Andrea and Immordino, Gabriele and Onofri, Ludovica and Coppotelli, Giuliano and Righi, Marcello},
journal={arXiv preprint arXiv:2509.17423},
year={2025}
} Data-driven modelling of nonlinear aerodynamics in high-speed aircraft using machine learning
BibTeX Citation
@phdthesis{immordino2025data,
title={Data-driven modelling of nonlinear aerodynamics in high-speed aircraft using machine learning},
author={Immordino, Gabriele},
year={2025},
school={University of Southampton}
} Experimental Characterization of Flutter and LCO of a Very Flexible Wing
BibTeX Citation
@inproceedings{righi2024experimental,
title={Experimental Characterization of Flutter and LCO of a Very Flexible Wing},
author={Righi, Marcello and Coppotelli, Giuliano and Immordino, Gabriele and Da Ronch, Andrea and Onofri, Ludovica and Sbarra, Roberto and Romano, Giampaolo},
booktitle={AIAA SCITECH 2024 Forum},
pages={0831},
year={2024}
} Steady-state transonic flowfield prediction via deep-learning framework
BibTeX Citation
@article{immordino2024steady,
title={Steady-state transonic flowfield prediction via deep-learning framework},
author={Immordino, Gabriele and Da Ronch, Andrea and Righi, Marcello},
journal={AIAA Journal},
volume={62},
number={5},
pages={1915--1931},
year={2024},
publisher={American Institute of Aeronautics and Astronautics}
} Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads
BibTeX Citation
@article{vaiuso2024multi,
title={Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads},
author={Vaiuso, Andrea and Immordino, Gabriele and Righi, Marcello and Da Ronch, Andrea},
journal={arXiv preprint arXiv:2407.05684},
year={2024}
} Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting
BibTeX Citation
@article{immordino2024generative,
title={Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting},
author={Immordino, Gabriele and Vaiuso, Andrea and Da Ronch, Andrea and Righi, Marcello},
journal={arXiv preprint arXiv:2411.11592},
year={2024}
} Flutter prediction report in support of the high angle working group at the third aeroelastic prediction workshop
BibTeX Citation
@inproceedings{chwalowski2024flutter,
title={Flutter prediction report in support of the high angle working group at the third aeroelastic prediction workshop},
author={Chwalowski, Pawel and Stanford, Bret and Jacobson, Kevin and Poplingher, Lior and Raveh, Daniella E and Jirasek, Adam and Pagliuca, Giampaolo and Marcello, Righi},
booktitle={AIAA SciTech 2024 Forum},
pages={0418},
year={2024}
} A Preliminary Investigation into Icing Accretion around a Wavy Leading-edge Wing
BibTeX Citation
@inproceedings{da2023preliminary,
title={A Preliminary Investigation into Icing Accretion around a Wavy Leading-edge Wing},
author={Da Ronch, Andrea and Immordino, Gabriele and Kim, Jae Wook},
booktitle={AIAA SCITECH 2023 Forum},
pages={2459},
year={2023}
} Deep--learning framework for aircraft aerodynamics prediction
BibTeX Citation
@inproceedings{immordino2023deep,
title={Deep--learning framework for aircraft aerodynamics prediction},
author={Immordino, Gabriele and Da Ronch, Andrea and Righi, Marcello},
booktitle={AIAA AVIATION 2023 Forum},
pages={3846},
year={2023}
} ROM-Based Uncertainties Quantification of Flutter Speed Prediction of the BSCW Wing
BibTeX Citation
@inproceedings{righi2022rom,
title={ROM-Based Uncertainties Quantification of Flutter Speed Prediction of the BSCW Wing},
author={Righi, Marcello and D{\"u}zel, Sven and Anderegg, David and Da Ronch, Andrea and Massegur Sampietro, David and Soukhmane, Issam},
booktitle={AIAA SCITECH 2022 Forum},
pages={0179},
year={2022}
} Dynamic Stall A Computational Fluid Dynamics Study
BibTeX Citation
@phdthesis{immordino2020dynamic,
title={Dynamic Stall A Computational Fluid Dynamics Study},
author={Immordino, Gabriele},
year={2020},
school={University of Southampton}
}