Talk Series

We are organizing a series of (virtual) talks covering various aspects of dynamics and data-driven approaches. We aim at talks that motivate discussions, therefore work-in-progress reports or even negative results are highly welcome.

Date Time Speaker Topic Calendar Invite
2023-07-05 12:00 PM - 01:00 PM Christoph Bienefeld (Bosch) An Approach for Transferring Machine Learning Assisted Condition Monitoring of Rolling Bearings to Differing Machine Types  
2023-09-01 01:00 PM - 02:00 PM Jorge Urrea (TU Braunschweig) Data-driven stability analysis of uncertain nonlinear dynamical systems Download .ics file
2023-09-22 12:00 PM - 01:00 PM Amine Othmane (Universität des Saarlandes) Towards neural network enhanced integrators for efficient lifetime assessment of wind energy converters Download .ics file
2023-10-26 09:30 AM - 10:30 AM (CET) Sudeshna Sinha (Indian Institute of Science Education and Research (IISER), Mohali, India) Mastering Chaos with Physics Aware Neural Networks Download .ics file
2023-11-22 01:00 PM - 02:00 PM (CET) Julius Schultz, TU Braunschweig Deep learning for frequency response prediction of structural dynamic benchmark models Download .ics file
2023-12-13 01:00 PM - 02:00 PM (CET) Jan van Delden, Universität Göttingen Hands-on introduction to Weights&Biases Download .ics file
2024-03-01 01:00 PM - 02:00 PM (CET) Daniel Kreuter, BOSCH Bosch Open Data Sets Download .ics file
2024-03-20 03:25 PM - 04:00 PM (CET) GAMM2024 Gathering at the GAMM Annual Meeting in Magdeburg 2024 Download .ics file
2024-07-12 01:00 PM - 02:00 PM (CET) Manish Yadav, TU Berlin Reservoir Computing for Time Series Prediction Download .ics file
2025-02-26 12:30 PM - 01:30 PM (CET) Dr. Maarten Schoukens, Eindhoven University of Technology nonlinearbenchmark.org: some lessons learned and thoughts on promoting benchmarks for nonlinear system identification Download .ics file
2025-05-16 12:00 PM - 01:00 PM (CET) Sophie Cram, BMW Group Frequency-Domain-Based Parameterdentification of a Finite Element Vehicle Body in Vibroacoustics Download .ics file
2025-07-16 12:00 PM - 01:00 PM (CET) Henrik Sykora from Budapest University of Technology and Economics Learning stochastic nonlinear dynamics via maximising transition likelihood Download .ics file