Assistant professor, University of Uppsala
Department of Information Technology
Division Scientific Computing
Rum 106181 hus 10, Lägerhyddsvägen 1
Box 337, 75105 Uppsala,
Sweden
E-mail:
jorn.zimmerling
(at)it.uu.se
I am an Assistant Professor at the University of Uppsala in the Computational Science Department . Prior to that, I was a James van Loo Postdoctoral Fellow and Assistant Professor in the Department of Mathematics at the University of Michigan in Ann Arbor. I received my PhD in 2018 from Delft University of Technology with my thesis advisor Rob F. Remis. During my PhD I spent one semester at ICERM at Brown University.
My research interests lie in the field of numerical methods for partial differential equations, inverse problems, and reduced-order modeling.
Inverse problems in acoustics and electrodynamics
Estimation of coefficients of PDEs from remote measurements.
Efficient numerical solvers for PDEs with variable coefficients and in complex geometries
Numerical Linear Algebra
Reduced order modeling
Krylov subspace projection methods
Fast computation of resonances in unbounded domains
Resonances of dispersive media
V. Druskin and J. Zimmerling, A Krylov projection algorithm for large symmetric matrices with dense spectra, arXiv preprint, https://arxiv.org/abs/2504.06998, 2025.
Jörn Zimmerling, Vladimir Druskin and Valeria Simoncini, Monotonicity, bounds and averaging of Block-Gauss and Gauss-Radau quadrature for computing BT ϕ(A) B, J Sci Comput 103, 5, 2025, (link)
Liliana Borcea, Josselin Garnier, Alexander V. Mamonov, and Jörn Zimmerling, When data-driven reduced order modeling meets full waveform inversion, SIAM Review, Vol. 66, Iss. 3 10.1137/23M1552826 (2024) (link) [arXiv:2302.05988 (link)]
Liliana Borcea, Josselin Garnier Alexander V. Mamonov, and Jörn Zimmerling, Waveform inversion with a data driven estimate of the internal wave, SIAM Journal on Imaging Sciences, 16:1, 280 - 312, (2023), arxiv:2208.11051 (link)
Liliana Borcea, Josselin Garnier Alexander V. Mamonov, and Jörn Zimmerling, Reduced order model approach for imaging with waves, Inverse Problems 38-2, pp 025004 (2021), arxiv:2108.01609, (link)
Jörn Zimmerling and Rob Remis, Modal analysis of photonic and plasmonic resonators, Opt. Express 28, 20728-20737, 2020 (link)
Jörn Zimmerling, Lei Wei, Paul Urbach, Rob Remis, A Lanczos model-order reduction technique to efficiently simulate electromagnetic wave propagation in dispersive media, Journal of Computational Physics, Volume 315, Pages 348-362, 2016 (link)
A complete list of publications and conference talks can be found here.
Here are links to my professional profiles
ORCID: 0000-0002-3530-5723
NSF award #2110265 Inverse Scattering Using Data-Driven Reduced Order Models - $ 128 361