- Nationality: Iranian
PhD Thesis
Statistical learning tools for turbulent flow control
Supervisors
Andrea Ianiro (UC3M) and Vanesa Guerrero (UC3M)
Abstract
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.
Project participation
PITUFLOW – Pattern Identification in TUrbulent FLOW control
Grant: PITUFLOW-CM-UC3M
PhD in Aerospace Engineering UC3M 