Antonio Cuéllar successfully defended his PhD thesis, part of which have been carried out in the framework of NEXTFLOW. The thesis “AI-based sensing of turbulent wall-bounded flows” was awarded by the committee with the maximum qualification.
Antonio’s participation to the project has resulted in 2 papers and 6 conference contributions.
Our latest research explores the use of neuromorphic Event-Based Vision (EBV) cameras to represent low-order model coordinates in turbulent flows, in the quest for more data-efficient and high-fidelity flow measurements. Unlike conventional imaging systems, EBV...
We are happy to share with you our latest publication "Advection-based multiframe iterative correction for pressure estimation from velocity fields", co-authored by Junwei Chen, Marco Raiola, and Stefano Discetti. The work introduces a novel method for time-resolved...
Our 2023 publication "A simple trick to improve the accuracy of PIV/PTV data," has been selected for the Editor's Choice collection in the journal Experimental Thermal and Fluid Science! In this work, we tackled a critical challenge in Particle Image Velocimetry...