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Department of Mechanical Engineering
Student sits at workstation and looks at laptop. © Aliona Kardash​/​TU Dortmund

Dr Timothy Rogers from the University of Sheffield visits CRE

© CRE
CRE Hosts Guest Lecture by Dr Timothy Rogers from the University of Sheffield on Structured Machine Learning for Efficient Nonlinear System Identification

The Chair for Reliability Engineering welcomed Dr Timothy Rogers from the University of Sheffield, UK, for a visit from 26 October to 29 October 2026. During his visit, Dr Rogers delivered a public guest lecture entitled “Structured Machine Learning for Efficient Nonlinear System Identification” on 28 October 2026 at TU Dortmund University, where he presented research on the application of structured and physics-informed machine learning approaches to the identification of nonlinear dynamical systems.

In his presentation, Dr Rogers discussed how structured machine learning methods can be applied to nonlinear system identification. The lecture focused on incorporating physical knowledge into data-driven modelling approaches to support the identification and representation of complex dynamical systems.

The talk addressed approaches based on probabilistic differential equation solvers, highlighting their role in combining machine learning with the mathematical description of dynamical systems. In this context, the presentation explored how physical information and data-driven methods can be brought together for nonlinear system identification.

Furthermore, Dr Rogers discussed the identification of systems with unknown governing equations, considering how structured learning approaches can be used when the underlying mathematical description of a system is not fully available.

The visit provided an opportunity for scientific exchange on machine learning, nonlinear dynamics, and system identification. The CRE team greatly appreciates Dr Rogers' visit and the insights shared during his lecture, and looks forward to further academic exchange.

About the Speaker:

Dr Timothy Rogers is a Senior Lecturer in the Dynamics Research Group, School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield, UK. His research is primarily interested in data-centric engineering. Specific areas of research include Bayesian statistics, machine learning and signal processing for dynamic systems. He is also working on methods in Structural Health Monitoring and decision making. In 2026, he was awarded the EASD Junior Research Prize in Computational Structural Dynamics at EURODYN 2026.

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