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NEXTFLOW outreach activity featured in UC3M’s highlight video

NEXTFLOW outreach activity featured in UC3M’s highlight video

by odriva | Oct 8, 2025 | Sin categoría

Our team participated in this year’s edition of the European Researchers Night with two outreach activities, introducing to the local community to the main concept of the project: unsing and developping new generation tecniques for fluid characterization and...

We are organizing the European Drag Reduction and Flow Control Meeting 2026

by odriva | Oct 6, 2025 | Sin categoría

The next European Drag Reduction and Flow Control Meeting (EDRFCM 2026) will be organized by Stefano Discetti, PI of the NEXTFLOW project, at Universidad Carlos III Madrid on September 8-11, 2026. The biannual conference is coordinated by ERCOFTAC, a global...
PhD Thesis: Complete flow description from combination of incomplete measurements

PhD Thesis: Complete flow description from combination of incomplete measurements

by odriva | Sep 9, 2025 | Sin categoría

Congratulations to Junwei Chen, who successfully defended this thesis, “Complete flow description from combination of incomplete measurements.”For the past 4 years, Junwei used data-driven techniques to obtain a complete flow description from the...
New publication: Model-based time super-sampling of turbulent flow field sequences

New publication: Model-based time super-sampling of turbulent flow field sequences

by odriva | Aug 12, 2025 | Sin categoría

Our new paper, “Model-based time super-sampling of turbulent flow field sequences,” introduces a powerful method to overcome the technological limitations of current Time-Resolved (TR) PIV systems. Our approach allows researchers to recover high temporal...
NEXTFLOW wins 2 prizes in the 21st International Symposium on Flow Visualization

NEXTFLOW wins 2 prizes in the 21st International Symposium on Flow Visualization

by odriva | Jul 3, 2025 | Sin categoría

The NEXTFLOW team participated with a total of 6 presentations at both the 21st International Symposium on Flow Visualization (ISFV) and the 16th International Symposium on Particle Image Velocimetry (ISPIV), organized consecutively on June 21-28, 2026, at Tokyo. Two...
PhD Thesis: Data-driven enhancement of particle image velocimetry

PhD Thesis: Data-driven enhancement of particle image velocimetry

by odriva | Jun 9, 2025 | Sin categoría

Iacopo Tirelli successfully defended his PhD thesis, “Data-driven enhancement of particle image velocimetry”. Iacopo contributed significantly to the projec: 5 papers (one currently under review), 10 conference contributions, 4 outreach activities for the...
New publication: an efficient offline sensor placement method for flow estimation

New publication: an efficient offline sensor placement method for flow estimation

by odriva | Mar 24, 2025 | Sin categoría

In our latest paper, we introduce a cost-effective offline method for optimizing sensor placement to reconstruct complex flow fields. This technique eliminates the need to insert physical probes during the preliminary phase, saving time, resources, and preserving flow...
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...
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