Imperial College London

Professor Norbert Hoffmann

Faculty of EngineeringDepartment of Mechanical Engineering

Visiting Professor







557City and Guilds BuildingSouth Kensington Campus





Norbert holds degrees in physics, mechanical engineering and economics from the universities Erlangen-Nürnberg, Bayreuth, Stuttgart and Hagen. He worked in industry before joining Hamburg University of Technology. He was Professor of Machine Dynamics in Mechanical Engineering at Imperial and Director of the Imperial College based Rolls-Royce Vibration University Technology Centre. His main research interests are in nonlinear waves and vibrations, data and learning based approaches to complex nonlinear dynamics, and in highly efficient computing methods for physics and engineering.

Selected Publications

Journal Articles

Ehlers S, Klein M, Heinlein A, et al., 2023, Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data, Ocean Engineering, Vol:288, ISSN:0029-8018

Desmars N, Hartmann M, Behrendt J, et al., 2023, Nonlinear deterministic reconstruction and prediction of remotely measured ocean surface waves, Journal of Fluid Mechanics, Vol:975, ISSN:0022-1120

Geier C, Hamdi S, Chancelier T, et al., 2023, Machine learning-based state maps for complex dynamical systems: applications to friction-excited brake system vibrations, Nonlinear Dynamics, ISSN:0924-090X

Stender M, Ohlsen J, Geisler H, et al., 2023, U<SUP>P</SUP>-Net: a generic deep learning-based time stepper for parameterized spatio-temporal dynamics, Computational Mechanics, ISSN:0178-7675

He Y, Ducrozet G, Hoffmann N, et al., 2022, Galilean-transformed solitons and supercontinuum generation in dispersive media, Physica D - Nonlinear Phenomena, Vol:439, ISSN:0167-2789

Stender M, Tiedemann M, Hoffmann N, 2022, Energy harvesting below the onset of flutter (vol 458, pg 17, 2019), Journal of Sound and Vibration, Vol:534, ISSN:0022-460X

Neidhardt M, Ohlsen J, Hoffmann N, et al., 2021, Parameter Identification for Ultrasound Shear Wave Elastography Simulation, Current Directions in Biomedical Engineering, Vol:7

Stender M, Tiedemann M, Spieler D, et al., 2021, Deep learning for brake squeal: Brake noise detection, characterization and prediction, Mechanical Systems and Signal Processing, Vol:149, ISSN:0888-3270

Chabchoub A, Mozumi K, Hoffmann N, et al., 2019, Directional soliton and breather beams, Proceedings of the National Academy of Sciences of the United States of America, Vol:116, ISSN:0027-8424, Pages:9759-9763

Tsitoura F, Gietz U, Chabchoub A, et al., 2018, Phase domain walls in weakly nonlinear deep water surface gravity waves, Physical Review Letters, Vol:120, ISSN:0031-9007

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