Objectives

Data-driven methods are transforming active flow control, enabled by advances in experimental hardware, computational power, and modern sensing and actuation strategies. Approaches such as reduced-order modelling, enhanced with data-driven closures and neural networks, offer accurate predictions while retaining physical insight. At the same time, reinforcement learning has emerged as a powerful framework for control design, learning effective policies directly through interaction with complex fluid systems without relying on prior models.

The aim of the colloquium is to highlight recent breakthroughs in data-driven flow control and stimulate discussion on the most promising methodologies. It will bring together leading European and international experts to exchange ideas, share perspectives, and foster new collaborations.

Topics

The workshop will emphasise the theoretical aspects and practical applications of model-based and model-free control, following to main topics:

1. Modeling and Prediction of Fluid Flows
2. Model-based and Model-free Strategies for Flow Control

Contributions from numerical, theoretical, and experimental perspectives are welcome in areas which include, but are not limited to:

• Data-driven model learning and operator inference
• Reduced-order modeling via modal and projection-based methods, Mori–Zwanzig formalism, Koopman theory, Carleman linearization…
• Control and state estimation under partial and imperfect observability
• Optimal, adaptive, and learning-based control methodologies
• Model Predictive Control (MPC)
• Reinforcement Learning methods for flow control
• Observability, controllability, and information-theoretic foundations of control
• Robust, safe, and resilient control systems
• Computational autonomy and online inference for embedded control systems
• etc. …

Important dates

Abstract submission

• 01/01/2026: Opening of abstract submission
• 08/03/2026: Deadline of abstract submission
• 31/03/2026: Authors notification of acceptance

Registration

• 30/04/2026: End of early-bird registration
• 31/05/2026: Registration deadline

Special Issue

To recognize outstanding contributions, a special issue associated with the colloquium is planned on European Journal of Mechanics / B Fluids (EJMB)

For any questions regarding the scope or process of the colloquium, please feel free to contact us at mail to: euromech665@lisn.fr

Committee

Organisers

Onofrio Semeraro, CNRS, Laboratoire interdisciplinaire des sciences du numérique (LISN), Université Paris-Saclay, France

Stefano Discetti, Experimental Aerodynamics and Propulsion Lab, Universidad Carlos III de Madrid, Spain

Lionel Mathelin, CNRS, Laboratoire interdisciplinaire des sciences du numérique (LISN), Université Paris-Saclay, France

Miguel A. Mendez, von Karman Institute for Fluid Dynamics, École Polytechnique de Bruxelles, Université Libre de Bruxelles, Belgium

Scientific and local committee

Michele Alessandro Bucci, SafranTech, France

Iraj Mortazavi, CNAM, France

Georgios Rigas, Imperial College, UK

Taraneh Sayadi, CNAM, France