All Stories

  1. Optimising hydrofoils using automated multi-fidelity surrogate models

    Article • Ships and Offshore Structures, November 2024, Taylor & Francis

    Dr Matteo Diez

  2. Hydrodynamic Shape Optimization of a Naval Destroyer by Machine Learning Methods

    Article • Journal of Marine Science and Engineering, November 2024, MDPI AG

    Dr Matteo Diez

  3. Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

    Article • International Journal of Adaptive Control and Signal Processing, May 2024, Wiley

    Dr Matteo Diez

  4. Experimental and computational fluid-structure interaction analysis and optimization of Deep-V planing-hull grillage panels subject to slamming loads – Part II: Irregular waves

    Article • Ocean Engineering, January 2024, Elsevier

    Dr Matteo Diez

  5. Design-space dimensionality reduction in global optimization of functional surfaces: recent developments and way forward

    Article • Ship Technology Research, October 2023, Taylor & Francis

    Dr Matteo Diez

  6. PIV Snapshot Clustering Reveals the Dual Deterministic and Chaotic Nature of Propeller Wakes at Macro- and Micro-Scales

    Article • Journal of Marine Science and Engineering, June 2023, MDPI AG

    Dr Matteo Diez

  7. Multi-fidelity hydrodynamic analysis of an autonomous surface vehicle at surveying speed in deep water subject to variable payload

    Article • Ocean Engineering, March 2023, Elsevier

    Dr Matteo Diez

  8. On the use of dynamic mode decomposition for time-series forecasting of ships operating in waves

    Article • Ocean Engineering, January 2023, Elsevier

    Dr Matteo Diez

  9. A multi-fidelity active learning method for global design optimization problems with noisy evaluations

    Article • Engineering With Computers, September 2022, Springer Science + Business Media

    Dr Matteo Diez

  10. Experimental and computational fluid-structure interaction analysis and optimization of deep-V planing-hull grillage panels subject to slamming loads – Part I: Regular waves

    Article • Marine Structures, September 2022, Elsevier

    Dr Matteo Diez

  11. Time-series forecasting for ships maneuvering in waves via recurrent-type neural networks

    Article • Journal of Ocean Engineering and Marine Energy, August 2022, Springer Science + Business Media

    Dr Matteo Diez

  12. Time-series forecasting of ships maneuvering in waves via dynamic mode decomposition

    Article • Journal of Ocean Engineering and Marine Energy, July 2022, Springer Science + Business Media

    Dr Matteo Diez

  13. Geometric Moment-Dependent Global Sensitivity Analysis without Simulation Data: Application to Ship Hull Form Optimisation

    Article • Computer-Aided Design, June 2022, Elsevier

    Dr Matteo Diez

  14. Comparing multi-index stochastic collocation and multi-fidelity stochastic radial basis functions for forward uncertainty quantification of ship resistance

    Article • Engineering With Computers, February 2022, Springer Science + Business Media

    Dr Matteo Diez

  15. A Derivative-Free Line-Search Algorithm for Simulation-Driven Design Optimization Using Multi-Fidelity Computations

    Article • Mathematics, February 2022, MDPI AG

    Dr Matteo Diez

  16. URANS analysis of a free-running destroyer sailing in irregular stern-quartering waves at sea state 7

    Article • Ocean Engineering, October 2021, Elsevier

    Dr Matteo Diez

  17. Hull-form stochastic optimization via computational-cost reduction methods

    Article • Engineering With Computers, March 2021, Springer Science + Business Media

    Dr Matteo Diez

  18. Derivative-Free Line-Search Algorithm for Multi-Fidelity Optimization

    Article • January 2021, American Institute of Aeronautics and Astronautics (AIAA)

    Dr Matteo Diez

  19. Physics-Informed Feature-to-Feature Learning for Design-Space Dimensionality Reduction in Shape Optimisation

    Article • January 2021, American Institute of Aeronautics and Astronautics (AIAA)

    Dr Matteo Diez, PANAGIOTIS KAKLIS

  20. From Uncertainty Quantification to Shape Optimization: Cross-Fertilization of Methods for Dimensionality Reduction

    Article • January 2021, Springer Science + Business Media

    Dr Matteo Diez

  21. Uncertainty Quantification of Ship Resistance via Multi-Index Stochastic Collocation and Radial Basis Function Surrogates: A Comparison

    Article • June 2020, American Institute of Aeronautics and Astronautics (AIAA)

    Dr Matteo Diez, Dr Andrea Serani, Chiara Piazzola

  22. Comparison of Multi-Fidelity Approaches for Military Vehicle Design

    Article • June 2020, American Institute of Aeronautics and Astronautics (AIAA)

    Dr Matteo Diez, Dr Andrea Serani

  23. Adaptive N-Fidelity Metamodels for Noisy CFD Data

    Article • June 2020, American Institute of Aeronautics and Astronautics (AIAA)

    Dr Matteo Diez, Dr Andrea Serani, Simone Ficini

  24. Hybridization of Multi-Objective Deterministic Particle Swarm with Derivative-Free Local Searches

    Article • Mathematics, April 2020, MDPI AG

    Dr Matteo Diez

  25. Design-space assessment and dimensionality reduction: An off-line method for shape reparameterization in simulation-based optimization

    Article • Ocean Engineering, February 2020, Elsevier

    Dr Matteo Diez

  26. Adaptive multi-fidelity sampling for CFD-based optimisation via radial basis function metamodels

    Article • International Journal of Computational Fluid Dynamics, November 2019, Taylor & Francis

    Dr Matteo Diez

  27. Benchmarking Uncertainty Quantification Methods Using the NACA 2412 Airfoil with Geometrical and Operational Uncertainties

    Article • June 2019, American Institute of Aeronautics and Astronautics (AIAA)

    Dr Andrea Serani, Dr Domenico Quagliarella, Dr Matteo Diez, Michele Pisaroni, Professor Umberto Iemma, Luca Montagliani

  28. Stochastic Shape Optimization via Design-Space Augmented Dimensionality Reduction and RANS Computations

    Article • January 2019, American Institute of Aeronautics and Astronautics (AIAA)

    Dr Andrea Serani, Dr Matteo Diez

  29. PIV Data Clustering of a Buoyant Jet in a Stratified Environment

    Article • January 2019, American Institute of Aeronautics and Astronautics (AIAA)

    Dr Andrea Serani, Dr Matteo Diez, Danilo Durante

  30. Stochastic optimization methods for ship resistance and operational efficiency via CFD

    Article • Structural and Multidisciplinary Optimization, August 2017, Springer Science + Business Media

    Dr Matteo Diez

  31. Towards Augmented Design-Space Exploration via Combined Geometry and Physics Based Karhunen-Loève Expansion

    Article • June 2017, American Institute of Aeronautics and Astronautics (AIAA)

    Dr Emilio F Campana, Dr Andrea Serani, Dr Matteo Diez

  32. Formulation and parameter selection of multi-objective deterministic particle swarm for simulation-based optimization

    Article • Applied Soft Computing, May 2017, Elsevier

    Dr Matteo Diez, Dr Andrea Serani

  33. Validation of Uncertainty Quantification Methods for High-Fidelity CFD of Ship Response in Irregular Waves

    Article • January 2017, American Institute of Aeronautics and Astronautics (AIAA)

    Dr Matteo Diez, Dr Emilio F Campana, Danilo Durante

  34. Development and Assessment of Uncertainty Quantification Methods for Ship Hydrodynamics

    Article • January 2017, American Institute of Aeronautics and Astronautics (AIAA)

    Dr Matteo Diez, Dr Emilio F Campana, Professor Umberto Iemma, Danilo Durante

  35. Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems

    Article • Applied Soft Computing, December 2016, Elsevier

    Professor Umberto Iemma, Dr Matteo Diez, Dr Andrea Serani

  36. Ship hydrodynamic optimization by local hybridization of deterministic derivative-free global algorithms

    Article • Applied Ocean Research, September 2016, Elsevier

    Dr Andrea Serani, Professor Umberto Iemma, Dr Matteo Diez

  37. Multi-fidelity Adaptive global metamodel of expensive computer simulations

    Article • July 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Matteo Diez

  38. Dimensionality reduction for shape optimization

    Article • June 2016, American Institute of Aeronautics and Astronautics (AIAA)

    Dr Andrea Serani, Dr Emilio F Campana, Dr Matteo Diez

  39. A variable-accuracy metamodel-based architecture for global MDO under uncertainty

    Article • Structural and Multidisciplinary Optimization, April 2016, Springer Science + Business Media

    Dr Andrea Serani, Professor Umberto Iemma, Dr Matteo Diez

  40. Dense Orthogonal Initialization for Deterministic PSO: ORTHOinit+

    Article • January 2016, Springer Science + Business Media

    Dr Andrea Serani, Dr Matteo Diez

  41. Derivative-free global ship design optimization using global/local hybridization of the DIRECT algorithm

    Article • Optimization and Engineering, December 2015, Springer Science + Business Media

    Dr Andrea Serani, Professor Umberto Iemma, Dr Matteo Diez

  42. Recent progress in CFD for naval architecture and ocean engineering

    Article • Journal of Hydrodynamics, February 2015, Elsevier

    Dr Matteo Diez

  43. Design-space dimensionality reduction in shape optimization by Karhunen–Loève expansion

    Article • Computer Methods in Applied Mechanics and Engineering, January 2015, Elsevier

    Dr Matteo Diez

  44. Globally Convergent Hybridization of Particle Swarm Optimization Using Line Search-Based Derivative-Free Techniques

    Article • December 2014, Springer Science + Business Media

    Dr Daniele Peri, Dr Andrea Serani, Professor Umberto Iemma, Dr Matteo Diez

  45. Development and validation of a dynamic metamodel based on stochastic radial basis functions and uncertainty quantification

    Article • Structural and Multidisciplinary Optimization, August 2014, Springer Science + Business Media

    Professor Umberto Iemma, Dr Matteo Diez

  46. High-fidelity global optimization of shape design by dimensionality reduction, metamodels and deterministic particle swarm

    Article • Engineering Optimization, March 2014, Taylor & Francis

    Dr Matteo Diez

  47. A Proposal of PSO Particles’ Initialization for Costly Unconstrained Optimization Problems: ORTHOinit

    Article • January 2014, Springer Science + Business Media

    Dr Daniele Peri, Dr Andrea Serani, Professor Umberto Iemma, Dr Matteo Diez

  48. URANS study of Delft catamaran total/added resistance, motions and slamming loads in head sea including irregular wave and uncertainty quantification for variable regular wave and geometry

    Article • Ocean Engineering, December 2013, Elsevier

    Dr Matteo Diez

  49. A one-dimensional polynomial chaos method in CFD–Based uncertainty quanti-fication for ship hydrodynamic performance

    Article • Journal of Hydrodynamics, October 2013, Elsevier

    Dr Matteo Diez

  50. Uncertainty quantification of Delft catamaran resistance, sinkage and trim for variable Froude number and geometry using metamodels, quadrature and Karhunen–Loève expansion

    Article • Journal of Marine Science and Technology, August 2013, Springer Science + Business Media

    Dr Matteo Diez

  51. Ship optimization by globally convergent modification of PSO by a surrogate‐based Newton method

    Article • Engineering Computations, May 2013, Emerald

    Dr Daniele Peri, Dr Matteo Diez

  52. Initial Particles Position for PSO, in Bound Constrained Optimization

    Article • January 2013, Springer Science + Business Media

    Dr Daniele Peri, Dr Matteo Diez

  53. FRAMEWORK FOR CONVERGENCE AND VALIDATION OF STOCHASTIC UNCERTAINTY QUANTIFICATION AND RELATIONSHIP TO DETERMINISTIC VERIFICATION AND VALIDATION

    Article • International Journal for Uncertainty Quantification, January 2013, Begell House

    Dr Matteo Diez

  54. Comparison between Deterministic and Stochastic formulations of Particle Swarm Optimization, for Multidisciplinary Design Optimization

    Article • September 2012, American Institute of Aeronautics and Astronautics (AIAA)

    Dr Daniele Peri, Dr Matteo Diez

  55. Multidisciplinary conceptual design optimization of aircraft using a sound-matching-based objective function

    Article • Engineering Optimization, May 2012, Taylor & Francis

    Professor Umberto Iemma, Dr Matteo Diez

  56. Hydroelastic optimization of a keel fin of a sailing boat: a multidisciplinary robust formulation for ship design

    Article • Structural and Multidisciplinary Optimization, March 2012, Springer Science + Business Media

    Dr Daniele Peri, Dr Matteo Diez

  57. Optimal Hull-Form Design Subject to Epistemic Uncertainty

    Article • Ship Technology Research, January 2012, Taylor & Francis

    Dr Daniele Peri, Dr Matteo Diez

  58. A New Parameterisation Approach for Mixed-Integer Optimisation

    Article • Ship Technology Research, April 2011, Taylor & Francis

    Dr Daniele Peri, Dr Matteo Diez

  59. Two-stage Stochastic Programming Formulation for Ship Design Optimisation under Uncertainty

    Article • Ship Technology Research, September 2010, Taylor & Francis

    Dr Daniele Peri, Dr Matteo Diez

  60. Robust optimization for ship conceptual design

    Article • Ocean Engineering, August 2010, Elsevier

    Dr Daniele Peri, Dr Matteo Diez

  61. Robust Optimization of Aircraft Life-cycle Costs Including the Cost of Community Noise

    Article • May 2007, American Institute of Aeronautics and Astronautics (AIAA)

    Professor Umberto Iemma, Dr Matteo Diez

  62. A Sound-Matching-Based Approach for Aircraft Noise Annoyance Alleviation Via MDO

    Article • May 2007, American Institute of Aeronautics and Astronautics (AIAA)

    Professor Umberto Iemma, Dr Matteo Diez

  63. Optimal Conceptual Design of Aircraft Including Community Noise Prediction

    Article • May 2006, American Institute of Aeronautics and Astronautics (AIAA)

    Professor Umberto Iemma, Dr Matteo Diez

  64. Digital holography and Karhunen–Loève decomposition for the modal analysis of two-dimensional vibrating structures

    Article • Journal of Sound and Vibration, March 2006, Elsevier

    Professor Umberto Iemma, Dr Matteo Diez

  65. An Extended Karhunen-Loève Decomposition for Modal Identification of Inhomogeneous Structures

    Article • Journal of Vibration and Acoustics, January 2006, ASME International

    Professor Umberto Iemma, Dr Matteo Diez

  66. Community Noise Impact on the Conceptual Design of Innovative Aircraft Configurations

    Article • May 2005, American Institute of Aeronautics and Astronautics (AIAA)

    Professor Umberto Iemma, Dr Matteo Diez

  67. Initial Particles Position for PSO, in Bound Constrained Optimization

    Article • SSRN Electronic Journal, Elsevier

    Dr Daniele Peri, Dr Matteo Diez