25th May 2022 - 26th May 2022
Data and Dynamics
This workshop brings together experts, researchers, and students to share research results in the cross-disciplinary area of machine learning and advanced dynamical system theory, and suggests important challenges that have yet to be addressed.
Advanced research in machine learning has provided an invaluable approach to analysing and forecasting complex systems based on observed data. Such data-driven technology has become increasingly indispensable for studies of dynamical systems where an analytical model is lacking, but observed data is available. This workshop will facilitate the cross-fertilisation between experts and researchers in machine learning and mathematics. There will be both pedagogical talks and recent research contributions that cover several areas of applications ranging from fluid dynamics to social network data.
The workshop will take place in 39/40 AA 04 (Fourth Floor, Department of Mathematics, Thomas Telford Building) at the times below:
25th May - 09.30-15.00
26th May - 09.30-15.30
Prof Nathan Kutz (University of Washington)
Prof Tim Sullivan (University of Warwick)
Prof Ruth Misener (Imperial College)
Dr Stefan Klus (University of Surrey)
Dr Naratip Santitissadeekorn (University of Surrey)
Prof David Lloyd (University of Surrey)
Dr Jason Bramburger (Concordia University)
This event is being organised as part of Jason Bramburger's IAS fellowship with the University of Surrey.
The report for this workshop is coming soon, please check back later.