EuroMech Colloquium on Data-Driven Fluid Dynamics
and
2nd ERCOFTAC Workshop on
Machine Learning for Fluid Dynamics
2nd - 4th April 2025
Imperial College London, United Kingdom
This two and half day long event will be the second edition of the ERCOFTAC workshop on “Machine Learning for Fluid Dynamics”
and EuroMech Colloquium on "Data-Driven Fluid Dynamics"
Location: Mary Ward House, 5-7 Tavistock Place, London, WC1H 9SN, UK
Abstract Submission Deadline: 1st December 2024
TOPICS:
The workshop invites abstract submissions on any aspect of Machine Learning applied to Fluid Dynamics problems. These include, but are not limited to:
- Physics-aware machine learning;
- Data assimilation;
- Model discovery;
- Reduced-order modelling;
- Scientific machine learning;
Keynote Speakers:
Prof. Mark Girolami, The Alan Turing Institute, Cambridge University, UK
Prof. Mark Girolami, The Alan Turing Institute, Cambridge University, UK Lecture title: Inaugural talk on "Engineering the Future and the Future of Engineering"...
Prof. Steven Brunton, University of Washington, US
Prof. Steven Brunton, University of Washington, United States Lecture title: Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics...
Prof. Petros Koumoutsakos, Harvard University, US
Prof. Petros Koumoutsakos, Herbert S. Winokur, Jr. Professor of Computing in Science and Engineering and Area Chair of Applied Mathematics, Harvard Lecture title: AI and Scientific Computing: There is Plenty of...
Prof. Beverley McKeon, Stanford University, US
Prof. Beverley McKeon, Professor of Mechanical Engineering and member of the Center for Turbulence Research (CTR), Stanford University Lecture title: Information from Data: Eliciting Underlying Physics from...
Local Organizing Committee:
Prof. Luca Magri - Imperial College London & The Alan Turing Institute (EUROMECH), Chair
Dr. Georgios Rigas - Imperial College London (ERCOFTAC), Co-Chair
- Dr. Andrea Novoa Martinez, Imperial College London
- Elise Özalp, Imperial College London
- Defne Ozan, Imperial College London
- Dr. Antonio Colanera, Politecnico di Torino
Scientific Committee:
- Prof. Ricardo Vinuesa – KTH Royal Institute of Technology (EUROMECH)
- Prof. Peter Schmid – King Abdullah University of Science and Technology (KAUST) (EUROMECH)
- Prof. Luca Biferale – University of Rome Tor Vergata (EUROMECH)
- Prof. Taraneh Sayadi – Sorbonne University (EUROMECH)
- Prof. Paola Cinnella – Sorbonne University (ERCOFTAC)
- Prof. Maria Vittoria Salvetti - University of Pisa (ERCOFTAC)
IMPORTANT DATES:
Abstract Submission Deadline: 1st December 2024
Early Bird Registration: until 4th February 2025
Normal Registration: 5th February – 11th March 2025
Late Registration: 12th March - 2nd April 2025
Online Attendance Registration*: until 2nd April 2025
*Hybrid Format: we encourage in-person attendance for the best experience, including the chance to present your work. While the event will be streamed live on Zoom for remote participants, please note that only in-person attendees will be allowed to present, while online participants can join as observers.
REGISTRATION FEES:
Early Bird Registration until 4th February 2025:
Non-PhD, Member of EuroMech or ERCOFTAC (In-person): €520
PhD Student, Member of EuroMech or ERCOFTAC (In-person): €420
Non-PhD, Not a Member (In-person): €550
PhD Student, Not a Member (In-person): €450
Normal Registration from 5th February until 11th March 2025:
Non-PhD, Member of EuroMech or ERCOFTAC (In-person): €620
PhD Student, Member of EuroMech or ERCOFTAC (In-person): €520
Non-PhD, Not a Member (In-person): €650
PhD Student, Not a Member (In-person): €550
Late registration from 12th March until 2nd April 2025:
Non-PhD, Member of EuroMech or ERCOFTAC (In-person): €700
Non-PhD, Not a Member (In-person): €730
PhD Student, Member of EuroMech or ERCOFTAC (In-person): €700
PhD Student, Not a Member (In-person): €730
Online Attendance (No presentation): €300
For full details on registration, fees, and abstract submission, visit the official conference website.
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Linkedin: https://www.linkedin.com/posts/activity-7249394082538475520-GPxU?utm_source=share&utm_medium=member_desktop
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