Foto del docente

Andrea Serani

Adjunct professor

Department of Industrial Engineering

Publications

  1. Palma, G., Serani, A., Diez, M. “Data-driven uncertainty-aware seakeeping prediction of the Delft
    372 catamaran using ensemble Hankel dynamic mode decomposition,” Journal of Hydrodynamics,
    1-17, 2026
  2. Gaggero S., Serani A. “Physics-informed dimensionality reduction for propeller shape optimization,”
    Applied Ocean Research, 2026, 166, 104932
  3. Palma G., Santic I., Serani, A. Minno L., Diez M. “System Identification of a Moored ASV with
    Recessed Moon Pool via Deterministic and Bayesian Hankel-DMDc,” Journal of Marine Science
    and Engineering, 2025, 13(12), 2267
  4. Palma G., Serani A., Aram S., Wundrow D. W., Drazen D., Diez M. “Bayesian Hankel dynamic
    mode decomposition for ship motion digital twinning,” Applied Ocean Research, 165, 104863,
    2025
  5. Serani A., Palma G., Wackers J., Quagliarella D., Gaggero S., Diez M. “Extending parametric
    model embedding with physical information for design-space dimensionality reduction in shape
    optimization,” Engineering with Computers, 2025
  6. Mainini L., Serani, A., Pehlivan-Solak H., Di Fiore F., Rumpfkeil M. P., Minisci E., Quagliarella
    D., Yildiz S., Ficini S., Pellegrini R., Thelen A., Bryson D., Nikbay M., Diez M., Beran P. S.
    “Analytical benchmark problems and methodological framework for the assessment and comparison
    of multifidelity optimization methods,” Arch Computat Methods Eng, 2025
  7. Palma G., Serani A., Aram A., Wundrow D. W., Drazen D., Diez M. “Model-free system
    identification of surface ships in waves via Hankel dynamic mode decomposition with control,”
    Ocean Engineering, 341(3), 122539, 2025
  8. Serani A., Diez M. “A Survey on Design-Space Dimensionality Reduction Methods for Shape
    Optimization,” Arch Computat Methods Eng, 2025
  9. Palma G., Bardazzi A., Lucarelli A., Pilloton C., Serani, A. Lugni C., Diez M. “Analysis,
    Forecasting, and System Identification of a Floating Offshore Wind Turbine Using Dynamic Mode
    Decomposition,” Journal of Marine Science and Engineering, 2025, 13(4)
  10. Diez M., Gaggero M., Serani A., “Data-driven forecasting of ship motions in waves using
    machine learning and dynamic mode decomposition,” Int J Adapt Control Signal Process, 39(10),
    2119-2142, 2025
  11. Pehlivan Solak H., Wackers J., Pellegrini R., Serani A., Diez M., Perali P., Sacher M., Leroux J.-P.,
    Augier B., Hauville F., Bot P. “Optimising hydrofoils using automated multi-fidelity surrogate
    models,” Ships and Offshore Structures, 2024, 1–12
  12. Serani A., Diez M. “Hydrodynamic Shape Optimization of a Naval Destroyer by Machine Learning
    Methods,” J. Mar. Sci. Eng., 2024, 12, 1979
  13. Seelinger L., Reinarz A., Lykkegaard M. B., Akers R., Alghamdi A. M., Aristoff D., Bangerth W.,
    Benezech J., Diez M., Frey K., Jakeman J. D., Jørgensen J. S., Kim K., Kent B. M., Martinelli
    M., Parno M., Pellegrini R., Petra N., Riis N. A. B., Rosenfeld K., Serani A., Tamellini L.,
    Villa U., Dodwell T. J., Scheichl R., “Democratizing Uncertainty Quantification,” Journal of
    Computational Physics, 113542, 2024
  14. Serani A., Diez M., Quagliarella D., “Aerodynamic shape optimization in transonic conditions
    through parametric model embedding,” Aerospace Science and Technology, 109611, 2024
  15. Serani A., Scholcz T. P., Vanzi V., “A scoping review on simulation-based design optimization in
    marine engineering: trends, best practices, and gaps,” Archives of Computational Methods in
    Engineering, 2024
  16. Diez M., Serani A., “Design-space dimensionality reduction in global optimization of functional
    surfaces: recent developments and way forward,” Ship Technology Research, 71(2), 141-152,
    2024
  17. Lee E. J., Diez M., Harrison E. L., Jiang M. J., Snyder L. A., Powers A. M. R., Bay R. J.,
    Serani A., Nadal M. L., Kubina E. R., Stern F., “Experimental and computational fluid-structure
    interaction analysis and optimization of Deep-V planing-hull grillage panels subject to slamming
    loads–Part II: Irregular waves,” Ocean Engineering 292, 116346, 2024
  18. Spinosa E., Pellegrini R., Posa A., Broglia R., De Biase M., Serani A., “Simulation-Driven Design
    Optimization of a Destroyer-Type Vessel via Multi-Fidelity Supervised Active Learning,” Journal
    of Marine Science and Engineering 11(12):2232, 2023
  19. D’Agostino D., Diez M., Felli M., Serani A., “PIV Snapshot Clustering Reveals the Dual
    Deterministic and Chaotic Nature of Propeller Wakes at Macro-and Micro-Scales,” Journal of
    Marine Science and Engineering, 11(6)
  20. Pellegrini, R., Ficini, S., Odetti, A., Serani, A., Caccia, M., Diez, M., “Multi-fidelity hydrodynamic
    analysis of an autonomous surface vehicle at surveying speed in deep water subject to variable
    payload,” Ocean Engineering, 271, 113529, 2023
  21. Serani, A., Diez, M., “Parametric model embedding,” Computer Methods in Applied Mechanics
    and Engineering, 404, 115776, 2023
  22. Serani, A., Dragone, P., Stern, F., Diez, M., “On the use of dynamic mode decomposition for
    time-series forecasting of ships operating in waves,” Ocean Engineering, 267, 113235, 2023
  23. Wackers, J., Pellegrini, R., Serani, A., Visonneau, M., Diez, M. “Efficient initialization for
    multi-fidelity surrogate-based optimization,” Journal of Ocean Engineering and Marine Energy, 9,
    291-307, 2023
  24. Piazzola C., Tamellini L., Pellegrini R., Broglia R., Serani A., Diez, M., “Comparing multi-index
    stochastic collocation and multi-fidelity stochastic radial basis functions for forward uncertainty
    quantification of ship resistance,” Engineering with Computers, 39, 2209–2237, 2023
  25. Pellegrini, R., Wackers, J., Broglia, R., Serani, A., Visonneau, M., Diez M., “A Multi-Fidelity
    Active Learning Method for Global Design Optimization Problems with Noisy Evaluations,”
    Engineering with Computers, 2022
  26. D’Agostino, D., Serani, A., Stern, F., Diez, M., “Time-series forecasting for ships maneuvering in
    waves via recurrent-type neural networks,” J. Ocean Eng. Mar. Energy, 8(4), 479–487, 2022
  27. Diez, M., Serani, A., Campana, E. F., Stern, F., “Time-series forecasting of ships maneuvering in
    waves via dynamic mode decomposition,” J. Ocean Eng. Mar. Energy, 8(4), 471–478, 2022
  28. Khan, S., Kaklis, P., Serani, A., Diez, M, “Geometric moment-dependent global sensitivity
    analysis without simulation data: application to ship hull form optimisation,” Computer-Aided
    Design, 151, 103339, 2022
  29. Khan, S., Kaklis, P., Serani, A., Diez, M., Kostas, K., “Shape-supervised dimension reduction:
    Extracting geometry and physics associated features with geometric moments,” Computer-Aided
    Design, 150, 103327
  30. Pellegrini R., Serani A., Liuzzi G., Rinaldi F., Lucidi S., Diez, M., “A Derivative-Free Line-
    Search Algorithm for Simulation-Driven Design Optimization Using Multi-Fidelity Computations,”
    Mathematics, 10(3), 481, 2022
  31. Serani A., Stern F., Campana E. F., Diez M., “Hull-form stochastic optimization via computational-
    cost reduction methods,” Engineering with Computers, 38, 2245-2269, 2022
  32. Serani A., Diez M., van Walree F., Stern F., “URANS analysis of a free-running destroyer sailing
    in irregular stern-quartering waves at sea state 7,” Ocean Engineering, 237, 109600, 2021
  33. Leotardi C., Serani A., Diez M., Campana E. F., Fasano G., Gusso R., “Dense conjugate
    initialization for deterministic PSO in applications: ORTHOinit+,” Applied Soft Computing, 104,
    107121, 2021
  34. Pellegrini R., Serani A., Liuzzi G., Rinaldi F., Lucidi S., Diez M. “Hybridization of Multi-Objective
    Deterministic Particle Swarm with Derivative-Free Local Searches,” Mathematics, 8(4), 546,
    2020
  35. D’Agostino D., Serani A., Diez M., “Design-space assessment and dimensionality reduction: An
    off-line method for shape reparameterization in simulation-based optimization,” Ocean Engineering
    197, 106852, 2020
  36. Serani A., D’Agostino D., Campana E. F., Diez M., “Assessing the Interplay of Shape and
    Physical Parameters by Unsupervised Nonlinear Dimensionality Reduction Methods,” Journal of
    Ship Research, 64(4)
  37. Serani A., Pellegrini R., Wackers J., Jeanson C. E., Queutey P., Visonneau M., Diez M.,
    “Adaptive multi-fidelity sampling for CFD-based optimisation via radial basis function metamodels,”
    International Journal of Computational Fluid Dynamics, 33(6-7), 237-255, 2019
  38. Campana E.F., Diez M., Liuzzi G., Lucidi S., Pellegrini R., Piccialli V., Rinaldi F., Serani A., “A
    Multiobjective DIRECT algorithm for ship hull optimization,” Computational Optimization and
    Applications, 71(1), 53-72, 2018
  39. Pellegrini R., Serani A., Leotardi C., Iemma U., Campana E.F., Diez M., “Formulation and param-
    eter selection in multi-objective deterministic particle swarm for simulation-based optimization,”
    Applied Soft Computing, 58, 714-731, 2017
  40. Serani A., Leotardi C., Iemma U., Campana E. F., Fasano G., Diez M., “Parameter selection in
    synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics
    problems,” Applied Soft Computing, 49, 313-334, 2016
  41. Serani A., Fasano G., Liuzzi G., Lucidi S., Iemma U., Campana E.F., Diez M., “Ship hydrodynamic
    optimization by local hybridization of deterministic derivative-free global algorithms,” Applied
    Ocean Research, 59, 115-128, 2016
  42. Leotardi C., Serani A., Iemma U., Campana E.F., Diez M., “A variable-accuracy metamodel-based
    architecture for global MDO under uncertainty,” Structural and Multidisciplinary Optimization,
    54(3), 573-593, 2016
  43. Campana E.F., Diez M., Iemma U., Liuzzi G., Lucidi S., Rinaldi F., Serani A., “Derivative-
    free global ship design optimization using global/local hybridization of the DIRECT algorithm,”
    Optimization and Engineering, 17(1), 127-156, 2015

Latest news

At the moment no news are available.