About
Stefano Discetti is a Full Professor in the Department of Aerospace Engineering at Universidad Carlos III de Madrid, leading the Aerospace Engineering Research Group. His work bridges experimental fluid dynamics, machine learning, and flow control.
- Key research themes include turbulence characterization, heat transfer enhancement, and advanced measurement techniques like PIV/PTV.
- He has developed data-driven methods for flow estimation, sensor placement optimization, and physics-informed neural networks.
Research Trends from his publications show a focus on:
- Machine learning for turbulent flow reconstruction (GANs, CNNs, KNN)
- Non-intrusive sensing from wall measurements
- Manifold learning and reduced-order modeling
- Heat transfer control via plasma actuators and passive structures
- Time-resolved diagnostics using hybrid experimental/numerical approaches
Projects include principal roles in EU and national grants like NEXTFLOW (2021-2026) and EXCALIBUR (2023-2026), with industry collaborations at Airbus and TU Delft.
Research fields
AerodynamicsTurbulent Flow AnalysisParticle Image Velocimetry (PIV)Machine Learning in Fluid DynamicsHeat Transfer EnhancementFlow Control TechniquesComputational Fluid DynamicsExperimental Fluid MechanicsData AssimilationUnsteady AerodynamicsPlasma ActuatorsSignal Processing for Measurement Systems
0Publications listed
Find Stefano Discetti elsewhere
Related Searches
You Might Also Like
- AAndrea IaniroCharles III University of Madrid (UC3M) · Professor
Iacopo TirelliCharles III University of Madrid (UC3M) · Research Fellow- CCASTELLANOS GARCIA DE BLAS RODRIGOCharles III University of Madrid (UC3M) · Assistant Professor
- GGioacchino CafieroPolytechnic University of Turin · Associate Professor
- MMarco RaiolaCharles III University of Madrid (UC3M) · Associate Professor
- DDana DabiriUniversity of Washington · Professor