COLLOQUIUM 665
Data-driven active control in flows: from model-based to reinforcement learning methods

8-10 June 2026, Paris, France

Abstract submission

Important dates

  • 01/01/2026: Opening of abstract submission
  • 28/02/2026: Deadline of abstract submission
  • 31/03/2026: Authors notification of acceptance

Abstract Guidelines

The maximum length of the abstract is 1 page including figures and references.

Templates

Please use one of the provided templates to prepare your abstract. LaTeX is the preferred option, but a Word template is also available.

How to submit

Please submit the abstract by sending your abstract in PDF to the following address: euromech665@lisn.fr

Title format: Lastname_Firstname_main.pdf

Abstracts will undergo a peer-review process conducted by the committee.