Ehsan Farzamnik

  • Nationality: Iranian

PhD Thesis

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.

Project participation

PITUFLOW – Pattern Identification in TUrbulent FLOW control


Doctoral Meetings 2021-2022

PhD Aerospace Engineering Doctoral Meetings 21-22 – E. Farzamnik

Doctoral Meetings 2020-2021

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s