It is our great pleasure to welcome you to the 1st International Symposium on AI and Fluid Mechanics (AIFLUIDs), held at MAICh Conference Centre in Chania, Greece.
Fluid mechanics has been explored by experimental, theoretical and traditional computational methods. Recently, there has been a resurgence of data-driven and machine learning methods to provide improved understanding and control of fluid flows. At the same time, novel approaches of solving the fluid flow conservation equations based on AI techniques are under development. The symposium offers a unique forum for exploring the latest advancements of AI for the analysis, modeling, simulation and control of fluid flows.
The symposium hosts keynote presentations by world-leading experts, open scientific contributions and posters. Moreover, sponsors and industry experts will participate and discuss challenges and future perspectives. The participation of more than 300 participants from 34 countries in this inaugural event is a testament to the rapidly growing interest in AI-driven approaches in fluid dynamics. Participants come from a range of backgrounds including universities (55%), research centers (20%), and industry and corporations (25%), reflecting the truly interdisciplinary nature of this field.
As AI continues to reshape traditional approaches in modeling, simulation, and control of fluid flows, this symposium offers a timely and unique opportunity to exchange ideas, showcase new research, and foster collaboration. AIFLUIDs aspires to become the premier global forum dedicated to artificial intelligence and data-driven methods in the field of fluid mechanics. We believe that AIFLUIDs will play a key role in advancing benchmark datasets, validating machine learning models, and shaping the future of computational methods in fluid mechanics.
We sincerely thank you for your participation and contribution. We wish you a productive and inspiring experience in Chania.
Warm regards,
On behalf of the AIFLUIDs 2025 Organizing Committee
Prof Manolis Gavaises
City St George University of London
School of Science and Technology, Department of Engineering