Personal profile
Research interests
Dynamical systems, Model reduction, Computational mechanics
Research profile
Shobhit Jain is an assistant professor at the Delft Institute of Applied Mathematics (Numerical Analysis section).
His research focuses on the development of computational methods and scientific software that enable modelling, analysis and robust reduction of high-dimensional, nonlinear dynamical systems found in applied science and engineering.
Education/Academic qualification
Doctorate, Doctor of Sciences (ETH Zurich), ETH Zürich
2016 → 2019
Master's degree, Applied Mathematics, Delft University of Technology
2014 → 2015
Master's degree, Precision and Microsystems Engineering, Delft University of Technology
2013 → 2015
Bachelor's degree, Indian Institute of Technology Roorkee
2007 → 2011
External positions
Postdoc, ETH Zürich
2019 → 2022
Keywords (LCC)
- TJ Mechanical engineering and machinery
- Computational mechanics
- Structural Dynamics
- QA75 Electronic computers. Computer science
- Dynamical Systems
- Model Reduction
- Machine Learning
- TL Motor vehicles. Aeronautics. Astronautics
- Mathematical Modelling
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Collaborations and top research areas from the last five years
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Corrigendum to:“Nonlinear Model Reduction to Random Spectral Submanifolds in Random Vibrations” (Journal of Sound and Vibration, (2025), 600, C, (118923), (S0022460X24006862), 10.1016/j.jsv.2024.118923)
Kaundinya, R. S., Marraffa, A., Xu, Z., Jain, S. & Haller, G., 2026, In: Journal of Sound and Vibration. 626, 3 p., 119624.Research output: Contribution to journal › Comment/Letter to the editor › Scientific › peer-review
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Adjoint sensitivities for the optimization of nonlinear structural dynamics via spectral submanifolds
Pozzi, M., Marconi, J., Jain, S., Li, M. & Braghin, F., 2025, In: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 481, 2328, 28 p., 20250244.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Data-free non-intrusive model reduction for nonlinear finite element models via spectral submanifolds
Li, M., Thurnher, T., Xu, Z. & Jain, S., 2025, In: Computer Methods in Applied Mechanics and Engineering. 434, 17 p., 117590.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile4 Link opens in a new tab Citations (SciVal)46 Downloads (Pure) -
Nonlinear model reduction to random spectral submanifolds in random vibrations
Xu, Z., Kaundinya, R. S., Jain, S. & Haller, G., 2025, In: Journal of Sound and Vibration. 600, 19 p., 118923.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile1 Link opens in a new tab Citation (SciVal)86 Downloads (Pure) -
Response to “Discussion of S. Ponsioen, S. Jain and G. Haller: ‘Model reduction to spectral submanifolds and forced-response calculation in high-dimensional mechanical systems’, Journal of Sound and Vibration 488, 2020, pages 1-23”
Ponsioen, S., Jain, S. & Haller, G., 2025, In: Journal of Sound and Vibration. 597, 118791.Research output: Contribution to journal › Comment/Letter to the editor › Scientific › peer-review
Open AccessFile16 Downloads (Pure)
Datasets
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YetAnotherFECode
Jain, S. (Creator), Marconi, J. (Contributor) & Tiso, P. (Contributor), Zenodo, 11 Nov 2022
Dataset/Software: Software