Iacopo Tirelli

  • Nationality: Italian
  • Funding entity and Program: ERC StG NEXTFLOW

PhD Thesis

Data-driven enhancement of optical measurement techniques


Stefano Discetti (UC3M) and Andrea Ianiro (UC3M)


One of the main limits of PIV is the spatial resolution. Its importance is evident since high dynamic range is required to investigate turbulent flows down to the smallest scales. The goal of the research is to develop data-driven methods to improve the resolution of PIV beyond the Nyquist limit set by the interparticle spacing.
To this end, machine-learning algorithms for super-resolution will be explored, including Generative Advertise Neural Network or data-driven algorithm created specifically for particle-tracking applications.

Project participation

Research Stays

Institutions: Von Karman Institute for Fluid Dynamics
Environmental and Applied Fluid Dynamics
Miguel Alfonso Mendez
from January 2023 to April 2023

Doctoral Meetings 2021-2022

PhD Aerospace Engineering Doctoral Meetings 21-22 – I. Tirelli

Doctoral Meetings 2020-2021

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