- Nationality: Iranian
Statistical learning tools for turbulent flow control
Andrea Ianiro (UC3M) and Vanesa Guerrero (UC3M)
Due to the chaotic nature of turbulent flows, the possibility of modeling the problem as a low-order dynamical system in which only the dynamics of the “most important” patterns are analyzed has always seemed interesting. This thesis aims to apply sophisticated and customized Statistical Learning techniques to detect patterns in turbulent flows.
PITUFLOW – Pattern Identification in TUrbulent FLOW control