As part of a programme hosted by Isaac Newton Institute for Mathematical Sciences, Aeronautics academic, Luca Magri will be co-hosting a series of events that take a deep-dive into the world of data-driven modelling and control for fluid mechanics.
The week-long event will feature experts from across the world as they present their findings and research via a series of online seminars.
For more information please see schedule below or visit the Isaac Newton Institute for Mathematical Sciences website.
Individuals can join sessions via Zoom:
- All Zoom links available online: www.newton.ac.uk/event/dde/
- For any queries on the streaming, please contact support@newton.ac.uk
Schedule:
Please note all below times are BST.
Monday 15 May
| 14:00 to 15:00 | Luca Magri, Imperial College London; The Alan Turing Institute Real-time & offline modelling |
Room 2 |
| 15:15 to 16:15 | Karthik Duraisamy, University of Michigan Truly Predictive Data-driven Modeling for Complex Multi-scale, Multi-physics Problems |
Room 2 |
| 16:30 to 17:30 | Beverley McKeon, Stanford University What makes turbulence tick? |
Room 2 |
Tuesday 16 May
| 10:30 to 11:30 | Petros Koumoutsakos, Harvard University AI/Computing: Alloys for Flow Modeling and Control |
Room 2 |
| 14:00 to 15:00 | Jacob Page, University of Edinburgh Machine learning for the dynamical systems approach to turbulence |
Room 2 |
Wednesday 17 May
Thursday 18 May
| 10:30 to 11:30 | Sam Taira, University of California Toward the Analysis and Control of Extreme Aerodynamic Flows with Data-Driven Methods |
Room 2 |
| 15:30 to 14:30 | Themistoklis Sapsis, Massachusetts Institute of Technology Extreme events: model selection and the value of data |
Room 2 |
Friday 19 May
| 10:30 to 11:30 | Gianluca Iaccarino, Stanford University All Models are Uncertain |
Room 2 |