Miguel Fosas de Pando

About Miguel Fosas de Pando

Miguel Fosas de Pando, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Universidad de Cádiz, specializes in the field of fluid mechanics, stability, computational fluid dynamics, aeroacoustics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Gradient-enhanced stochastic optimization of high-fidelity simulations

Global stability analysis of an idealized compressor blade row. I. Single-blade passage analysis

Parallel-in-time adjoint-based optimization–application to unsteady incompressible flows

Cylinder drag minimization through wall actuation: A Bayesian Optimization approach

Determination of distinct dynamical process in the flow using machine learning

Stochastic optimisation of the flow around a linear cascade of blades

A time parallelised adjoint-based optimization strategy applied to incompressible flow configurations

Using a direct-adjoint framework for the analysis of turbomachinery aeroacoustics

Miguel Fosas de Pando Information

University

Position

___

Citations(all)

391

Citations(since 2020)

302

Cited By

189

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Miguel Fosas de Pando Skills & Research Interests

fluid mechanics

stability

computational fluid dynamics

aeroacoustics

Top articles of Miguel Fosas de Pando

Gradient-enhanced stochastic optimization of high-fidelity simulations

Computer Physics Communications

2024/2/6

Miguel Fosas De Pando
Miguel Fosas De Pando

H-Index: 7

Global stability analysis of an idealized compressor blade row. I. Single-blade passage analysis

Physical Review Fluids

2023/10/11

Miguel Fosas De Pando
Miguel Fosas De Pando

H-Index: 7

Li He
Li He

H-Index: 12

Parallel-in-time adjoint-based optimization–application to unsteady incompressible flows

Journal of Computational Physics

2022/12/15

Cylinder drag minimization through wall actuation: A Bayesian Optimization approach

Computers & Fluids

2022/5/30

Miguel Fosas De Pando
Miguel Fosas De Pando

H-Index: 7

Luis Lafuente
Luis Lafuente

H-Index: 5

Determination of distinct dynamical process in the flow using machine learning

APS Division of Fluid Dynamics Meeting Abstracts

2021

Miguel Fosas De Pando
Miguel Fosas De Pando

H-Index: 7

Peter Schmid
Peter Schmid

H-Index: 31

Stochastic optimisation of the flow around a linear cascade of blades

APS Division of Fluid Dynamics Meeting Abstracts

2021

Miguel Fosas De Pando
Miguel Fosas De Pando

H-Index: 7

A time parallelised adjoint-based optimization strategy applied to incompressible flow configurations

APS Division of Fluid Dynamics Meeting Abstracts

2021

Miguel Fosas De Pando
Miguel Fosas De Pando

H-Index: 7

Peter Schmid
Peter Schmid

H-Index: 31

Using a direct-adjoint framework for the analysis of turbomachinery aeroacoustics

APS Division of Fluid Dynamics Meeting Abstracts

2021

Miguel Fosas De Pando
Miguel Fosas De Pando

H-Index: 7

Peter Schmid
Peter Schmid

H-Index: 31

Li He
Li He

H-Index: 12

Nonlinear model reduction: a comparison between POD-Galerkin and POD-DEIM methods

Computers & Fluids

2020/8/15

Miguel Fosas De Pando
Miguel Fosas De Pando

H-Index: 7

Direct and adjoint analysis of turbomachinery aeroacoustics

APS Division of Fluid Dynamics Meeting Abstracts

2020

Miguel Fosas De Pando
Miguel Fosas De Pando

H-Index: 7

Peter Schmid
Peter Schmid

H-Index: 31

Li He
Li He

H-Index: 12

See List of Professors in Miguel Fosas de Pando University(Universidad de Cádiz)

Co-Authors

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