Iacopo Tirelli

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About

Iacopo Tirelli is a researcher whose work sits at the intersection of experimental fluid dynamics and advanced data-driven modeling. His primary research focus is on the development of innovative techniques for extracting coherent flow structures from particle image velocimetry (PIV) measurements, particularly when dealing with large, complex domains. Tirelli’s major contribution is a novel method for obtaining full-domain proper orthogonal decomposition (POD) modes from asynchronous PIV patches, a significant challenge in experimental fluid mechanics. This approach, detailed in his most-cited work from 2025, enables researchers to reconstruct the spatial structure of flows that are too large to be captured by a single, simultaneous measurement. By solving the problem of stitching together non-simultaneous data, his work provides a powerful tool for analyzing large-scale turbulent flows and unsteady aerodynamics. With 4 citations already on this recent paper, his method is quickly gaining recognition for its practical utility. Tirelli’s achievements represent a key step forward in making high-fidelity modal analysis accessible for real-world, large-scale experimental setups.