Scholar
Esteban Ferrer
Google Scholar ID: V5QCaiIAAAAJ
Full Professor - ETSIAE-UPM (School of Aeronautics in Madrid)
Citations & Impact
Citations
2,034
H-index
27
i10-index
62
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Developed various high order (order ≥ 3) solvers for fluid dynamics; Created a unique sliding mesh capability that allows for high-order solutions of rotating bodies; The solver has been verified and validated for a range of flows including bluff body flows, airfoil aerodynamics, and cross-flow wind and tidal turbines.
Research Experience
- Current research deals with a variety of topics concerning aeronautical and wind turbines applications. Focuses on developing more accurate and cost-efficient numerical computations and using post-processing tools to extract relevant flow features from complex computations. In the FerrerCFD research group at ETSIAE-UPM, actively interacts with industry and attempts to answer their needs with new mathematical and numerical developments.
Education
- During his doctoral studies at Oxford, he created a 3D unstructured and parallel incompressible high order (order ≥ 3) Discontinuous Galerkin (DG) solver for the Navier-Stokes equations.
Background
- Full Professor (Catedrático) in Applied Mathematics at the School of Aeronautics (ETSIAE-UPM) in Madrid. Specializes in Computational Fluid Dynamics (CFD). Main research interests: Fluid dynamics and numerical methods, h/p Spectral and Discontinuous Galerkin high order methods, aerodynamics, aeroacoustics, turbulence modelling, flow stability, optimization, machine learning for aeronautics and renewable energies such as wind and tidal turbines.
Co-authors