/ Publications

Peer-reviewed work in aerodynamics and scientific machine learning.

Journal articles and preprints across surrogate modelling, multifidelity learning, flow control, optimization, and experimental fluid mechanics.

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Selected publications

  • 2024

    Toward aerodynamic surrogate modeling based on β-variational autoencoders

    V. Francés-Belda, A. Solera-Rico, J. Nieto-Centenero, E. Andrés, C. Sanmiguel Vila, R. Castellanos

    Physics of Fluids

    Latent-space aerodynamic surrogate modelling for transonic wing pressure prediction using β-VAE-based representations.

    Surrogate modellingMachine learning
  • 2022

    Machine learning flow control with few sensor feedback and measurement noise

    R. Castellanos, I. de la Fuente, G. Cornejo Maceda, B. R. Noack, A. Ianiro, S. Discetti

    Physics of Fluids

    Machine-learning control strategies for flow-control applications under limited sensing and noisy measurements.

    Flow controlMachine learning
  • 2023

    Genetically-inspired convective heat transfer enhancement in a turbulent boundary layer

    R. Castellanos, A. Ianiro, S. Discetti

    Applied Thermal Engineering

    Optimization-based active flow-control strategy for turbulent convective heat-transfer enhancement.

    Flow controlHeat transferOptimization
  • 2023

    Heat transfer enhancement in turbulent boundary layers with a pulsed slot jet in crossflow

    R. Castellanos, G. Salih, M. Raiola, A. Ianiro, S. Discetti

    Applied Thermal Engineering

    Experimental analysis of pulsed jet actuation for convective heat-transfer control.

    Experimental fluidsHeat transfer
  • 2023

    Synchronized measurement of instantaneous convective heat flux and velocity fields in wall-bounded flows

    F. Foroozan, A. Güemes, M. Raiola, R. Castellanos, S. Discetti, A. Ianiro

    Measurement Science and Technology

    Coupled heat-flux and velocity-field measurements in turbulent wall-bounded flows.

    Experimental fluidsHeat transfer
  • 2026

    Fast and robust parametric and functional learning with Hybrid Genetic Optimisation (HyGO)

    I. Robledo, Y. Li, G.Y. Cornejo-Maceda, R. Castellanos

    Advanced Engineering Software

    Hybrid genetic optimization toolbox for parametric and functional learning problems.

    OptimizationMachine learning

Preprints and manuscripts under review

  • 2025

    Multi-fidelity aerodynamic data fusion by autoencoder transfer learning

    J. Nieto-Centenero, E. Andrés, R. Castellanos

    Preprint / under review

    Autoencoder-based transfer-learning strategy for combining low- and high-fidelity aerodynamic data.

    MultifidelitySurrogate modelling
  • 2025

    Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization

    I. Robledo, A. Vilariño, A. Miró, O. Lehmkuhl, C. Sanmiguel Vila, R. Castellanos

    Preprint / under review

    Active multifidelity surrogate-learning framework embedded within aerodynamic shape optimization.

    MultifidelityOptimizationSurrogate modelling

Full publication list

A complete, continuously updated record is maintained on external academic profiles.

Google Scholar ORCID Scopus ResearchGate