Ehsan Farzamnik

  • 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

Aerospace PhD doctoral meetings 2020-2021

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