About ISFV22

ISFV emblem

Objectives

Scientific exchange around flow visualization

The International Symposium on Flow Visualization provides a forum for presenting and discussing methods that make fluid-flow phenomena observable, measurable and interpretable.

ISFV22 will highlight the integration of classical visualization methods, advanced optical diagnostics, image-based measurements, computational methods and data-driven approaches. The symposium welcomes contributions from researchers, engineers, PhD students and industry professionals working across fundamental and applied fluid mechanics.

Heritage

A history of the symposium

1977 – 2027 · Celebrating 50 years

Since its first edition in Tokyo in 1977, the International Symposium on Flow Visualization has gathered the flow-visualization community across the world every two to three years. From Tokyo 1977 to Madrid 2027, ISFV22 celebrates half a century of the symposium:

  • 1977 Tokyo, Japan
  • 1980 Bochum, Germany
  • 1983 Ann Arbor, USA
  • 1986 Paris, France
  • 1989 Prague, Czechoslovakia
  • 1992 Yokohama, Japan
  • 1995 Seattle, USA
  • 1998 Sorrento, Italy
  • 2000 Edinburgh, UK
  • 2002 Kyoto, Japan
  • 2004 Notre Dame, USA
  • 2006 Göttingen, Germany
  • 2008 Nice, France
  • 2010 Daegu, Korea
  • 2012 Minsk, Belarus
  • 2014 Okinawa, Japan
  • 2016 Gatlinburg, USA
  • 2018 Zurich, Switzerland
  • 2021 Shanghai, China
  • 2023 Delft, Netherlands
  • 2025 Tokyo, Japan
  • 2027 Madrid, Spain — ISFV22

Topics

Scientific areas

Applications

  • Industrial and environmental flows
  • Biological and bio-medical flows
  • Unsteady and compressible flows, transition, and turbulence
  • Aero-acoustics and aero-elasticity
  • Multiphase and granular flows
  • Non-Newtonian and complex fluid flows
  • Heat and mass transfer, chemical reactions, and combustion

Methods and techniques

  • Quantitative velocimetry: PIV, PTV, LPT, MTV
  • Refractive techniques: Schlieren, shadowgraph, and interferometry
  • Thermal and pressure imaging: QIRT, liquid crystals, MTT, PSP, and TSP
  • Special flow sensing and imaging: X-ray, MRI, and PET
  • Multiple sensing techniques
  • Measurements of multidimensional flow properties: velocity, vorticity, pressure, temperature, density, concentration, and related quantities

Data analysis and visualization

  • Pattern recognition, feature classification, and modal decomposition
  • Data assimilation, physics-informed reconstruction, and data fusion
  • Machine learning techniques applied to flow visualization
  • Advanced rendering for multidimensional data sets

Host institution

Why Universidad Carlos III de Madrid?

Universidad Carlos III de Madrid (UC3M) is a young, research-intensive public university founded in 1989 and consistently ranked among the world's leading universities of its age. It has a strong international orientation, with a wide range of programs taught in English and a dense network of academic and industrial partnerships across Europe and beyond.

The Department of Aerospace Engineering covers the main areas of aeronautics and space engineering and holds the María de Maeztu Unit of Excellence distinction, awarded to only a handful of university departments in Spain. The two ISFV22 conference chairs, Andrea Ianiro and Stefano Discetti, are full professors in the department, where the Experimental Aerodynamics and Propulsion Lab works on experimental fluid mechanics, particle image velocimetry, infrared thermography, reduced-order modeling and machine learning — expertise that provides a natural home for ISFV22.

Universidad Carlos III de Madrid — Aerospace Engineering Department, with the María de Maeztu Unit of Excellence distinction
LIC visualization of the wake of a fluidic pinball
Artistic representation of a line integral convolution (LIC) visualization of the wake of a fluidic pinball.Alicia Rodríguez-Asensio · Experimental Aerodynamics & Propulsion Lab, UC3M
PIV visualization showing particles and vorticity
Artistic representation of a PIV flow visualization showing particles and vorticity.Luca Franceschelli · Experimental Aerodynamics & Propulsion Lab, UC3M
Instantaneous Stanton number map in a turbulent channel flow
Artistic representation of an instantaneous Stanton number map in a turbulent channel flow.Antonio Cuéllar · Experimental Aerodynamics & Propulsion Lab, UC3M
Anomaly of daily precipitations via meshless POD
Artistic impression of the anomaly of daily precipitations visualized with spatial modes of meshless POD.Iacopo Tirelli · Experimental Aerodynamics & Propulsion Lab, UC3M
Spatial mode of a pulsed slot jet in crossflow
Artistic impression of the spatial mode of the wall-parallel flow field downstream of a pulsed slot jet in crossflow.Rodrigo Castellanos · Experimental Aerodynamics & Propulsion Lab, UC3M
Manifold of extreme aerodynamic flows
Visualizing data structure: artistic impression of a manifold of extreme aerodynamic flows.Zhiyuan Wang · Experimental Aerodynamics & Propulsion Lab, UC3M