/ Teaching

Theory, simulation, experiment — and now machine learning.

My teaching combines analytical mechanics, aerospace engineering, computational methods, and data-driven modelling. I aim to connect theoretical foundations with hands-on numerical, experimental, and machine-learning projects.

/ Teaching areas

Courses & topics

  • / 01

    Mechanics applied to Aerospace Engineering

  • / 02

    Aerospace Design

  • / 03

    Aircraft Design and Certification

  • / 04

    Advanced Flight Mechanics

  • / 05

    Turbomachinery

  • / 06

    Air Transport

  • / 07

    Air Navigation Systems

  • / 08

    Aerospace Manufacturing

  • / 09

    Machine learning and data-driven methods for aerospace engineering

  • / 10

    CFD and surrogate modelling

/ Student projects

Selected directions for TFG / TFM / PhD projects

/ Topic

Data-driven aerodynamic surrogate modelling

/ Topic

Neural operators and implicit neural representations for aerodynamic fields

/ Topic

Active flow control with pulsed jets

/ Topic

Morphing wings and drone performance

/ Topic

Propeller aerodynamic design

/ Topic

Hardware-in-the-loop systems

/ Topic

CFD-enhanced machine learning

/ Topic

Experimental systems for wind-tunnel testing

/ Topic

Background-oriented schlieren

/ Topic

UAV flight dynamics and autopilot testing