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

Immordino, Gabriele and Vaiuso, Andrea and Da Ronch, Andrea and Righi, Marcello

Journal of Computational Physics Vol. 524 pp. 113708 (2025)

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

Immordino, Gabriele and Da Ronch, Andrea and Righi, Marcello

Journal of Aircraft pp. 1--18 (2025)

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

Massegur Sampietro, David and Immordino, Gabriele and Vaiuso, Andrea and Da Ronch, Andrea and Righi, Marcello

AIAA SCITECH 2025 Forum pp. 0885 (2025)

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

Coppotelli, Giuliano and Sbarra, Roberto G and Onofri, Ludovica and Righi, Marcello and Immordino, Gabriele and Da Ronch, Andrea

AIAA SCITECH 2025 Forum pp. 1019 (2025)

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

Vaiuso, Andrea and Immordino, Gabriele and Righi, Marcello and Da Ronch, Andrea

Aerospace Science and Technology pp. 110301 (2025)

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

Immordino, Gabriele and Vaiuso, Andrea and Da Ronch, Andrea and Righi, Marcello

Aerospace Science and Technology pp. 110516 (2025)

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

Vaiuso, Andrea and Immordino, Gabriele and Onofri, Ludovica and Coppotelli, Giuliano and Righi, Marcello

arXiv preprint arXiv:2509.17423 (2025)

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

Immordino, Gabriele

(2025)

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

Righi, Marcello and Coppotelli, Giuliano and Immordino, Gabriele and Da Ronch, Andrea and Onofri, Ludovica and Sbarra, Roberto and Romano, Giampaolo

AIAA SCITECH 2024 Forum pp. 0831 (2024)

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

Immordino, Gabriele and Da Ronch, Andrea and Righi, Marcello

AIAA Journal Vol. 62 pp. 1915--1931 (2024)

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

Vaiuso, Andrea and Immordino, Gabriele and Righi, Marcello and Da Ronch, Andrea

arXiv preprint arXiv:2407.05684 (2024)

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

Immordino, Gabriele and Vaiuso, Andrea and Da Ronch, Andrea and Righi, Marcello

arXiv preprint arXiv:2411.11592 (2024)

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

Chwalowski, Pawel and Stanford, Bret and Jacobson, Kevin and Poplingher, Lior and Raveh, Daniella E and Jirasek, Adam and Pagliuca, Giampaolo and Marcello, Righi

AIAA SciTech 2024 Forum pp. 0418 (2024)

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

Da Ronch, Andrea and Immordino, Gabriele and Kim, Jae Wook

AIAA SCITECH 2023 Forum pp. 2459 (2023)

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

Immordino, Gabriele and Da Ronch, Andrea and Righi, Marcello

AIAA AVIATION 2023 Forum pp. 3846 (2023)

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

Righi, Marcello and D{\"u

AIAA SCITECH 2022 Forum pp. 0179 (2022)

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

Immordino, Gabriele

(2020)

BibTeX Citation
@phdthesis{immordino2020dynamic,
  title={Dynamic Stall A Computational Fluid Dynamics Study},
  author={Immordino, Gabriele},
  year={2020},
  school={University of Southampton}
}