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New publication: An assessment of event-based imaging velocimetry for efficient estimation of low-dimensional coordinates in turbulent flows.

New publication: An assessment of event-based imaging velocimetry for efficient estimation of low-dimensional coordinates in turbulent flows.

by odriva | Feb 10, 2025 | Sin categoría

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...
New Publication: Advection-based multiframe iterative correction for pressure estimation from velocity fields

New Publication: Advection-based multiframe iterative correction for pressure estimation from velocity fields

by odriva | Feb 7, 2025 | Sin categoría

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...
Editors’ Choice collection in “Experimental Thermal and Fluid Science” features NEXTFLOW paper.

Editors’ Choice collection in “Experimental Thermal and Fluid Science” features NEXTFLOW paper.

by odriva | Jan 20, 2025 | Sin categoría

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...
Distinction for project PI: appointment as a Visiting Professor at von Karman Institute

Distinction for project PI: appointment as a Visiting Professor at von Karman Institute

by odriva | Jan 10, 2025 | Sin categoría

Stefano Discetti joined the von Karman Institute for Fluid Dynamics as a Visiting Professor starting January 1st, as an expert in aerodynamics, machine learning-based flow control, and non-intrusive measurement techniques. He will contribute to developing new VKI...
PhD Thesis: AI-based sensing of turbulent wall-bounded flows

PhD Thesis: AI-based sensing of turbulent wall-bounded flows

by odriva | Dec 11, 2024 | Sin categoría

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....
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