PD Dr. Gudrun Thäter

Englerstrasse 2
76131 Karlsruhe

I am a permanent member of the Faculty with own teaching. My research focuses on Fluid Dynamics and modeling flow. I am a member of the Lattice Boltzmann Research Group. Here we work and teach in a strong collaboration with process engineers. I am a member of the graduate school KCDS about Computational and Data Science.

I am currently a deputy speaker in the KIT-Centre MathSEE in the area Mathematical modeling, differential equations, numerics, simulation. I helped to organise our first workshop in 2020 and, in particular, I organised the panel discussion.

For the German Association of Mathematicians (DMV) I am serving as Editor-in-Chief of our journal Mitteilungen der DMV (2021-2028).

You can find my published papers on the platform Google Scholar.

Our Podcast Modellansatz shows fascinating applications of mathematics all around us. There are quite a few English episodes.

Titel	Links	Typ
Wintersemester 2025/26
Einführung in die Stochastik		Vorlesung (V)
Übungen zu 0107100 (Einf. in die Stochastik)		Übung (Ü)
AG Stochastische Geometrie		Oberseminar (OS)
Mathematik 3 für die Fachrichtung Wirtschaftswissenschaften		Vorlesung (V)
Übungen zu 0135200 (Mathematik 3 für Wirtschaftswissenschaften)		Übung (Ü)
Sommersemester 2025
Markovsche Ketten		Vorlesung (V)
Übungen zu 0159600 (Markovsche Ketten)		Übung (Ü)
Proseminar (Stochastik)		Proseminar (PS)
Seminar (Stochastik)		Seminar (S)
Seminar (Mathematik für die Fachrichtung Wirtschaftswissenschaften)		Seminar (S)
Wintersemester 2024/25
Einführung in die Stochastik		Vorlesung (V)
Übungen zu 0107100 (Einf. in die Stochastik)		Übung (Ü)
Mathematik 3 für die Fachrichtung Wirtschaftswissenschaften		Vorlesung (V)
Übungen zu 0135200 (Mathematik III für Wirtschaftswissenschaften)		Übung (Ü)
Sommersemester 2024
Stochastic Geometry		Vorlesung (V)
Tutorial for 0152600 (Stochastic Geometry)		Übung (Ü)
Proseminar		Proseminar (PS)

Publikationsliste

Deep Learning for Radiotherapy: Target Volume Segmentation and Dynamical Low-Rank Training. PhD dissertation
Walter, A.
2025, June 12. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000182310

Natural convection in the horizontal annulus: Critical Rayleigh number for the steady problem
Passerini, A.; Rummler, B.; Růžička, M.; Thäter, G.
2025. ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 105 (3), Art.-Nr.: e202300535. doi:10.1002/zamm.202300535

Homogenized lattice Boltzmann methods for fluid flow through porous media – Part I: Kinetic model derivation
Simonis, S.; Hafen, N.; Jeßberger, J.; Dapelo, D.; Thäter, G.; Krause, M. J.
2025. ESAIM: Mathematical Modelling and Numerical Analysis, 59 (2), 789–813. doi:10.1051/m2an/2025005

Identification of reaction rate parameters from uncertain spatially distributed concentration data using gradient-based PDE constrained optimization
Ito, S.; Jeßberger, J.; Simonis, S.; Bukreev, F.; Kummerländer, A.; Zimmermann, A.; Thäter, G.; Pesch, G. R.; Thöming, J.; Krause, M. J.
2024. Computers and Mathematics with Applications, 167, 249 – 263. doi:10.1016/j.camwa.2024.05.026

Cross-Correlation and Averaging: An Equivalence Based on the Classical Probability Density
Genda, A.
2023, September 29. 2. MathSEE Symposium (2023), Karlsruhe, Germany, September 27–29, 2023

Homogenized lattice Boltzmann methods for fluid flow through porous media – part I: kinetic model derivation
Simonis, S.; Hafen, N.; Jessberger, J.; Dapelo, D.; Thäter, G.; Krause, M. J.
2023. doi:10.48550/arXiv.2310.14746

Revisiting the Homogenized Lattice Boltzmann Method with Applications on Particulate Flows
Trunk, R.; Weckerle, T.; Hafen, N.; Thäter, G.; Nirschl, H.; Krause, M. J.
2021. Computation, 9 (2), Article no: 11. doi:10.3390/COMPUTATION9020011

Multilingual Sequence-To-Sequence Speech Recognition. master’s thesis
Gremmelmaier, H.
2021. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000166138

A study on shape-dependent settling of single particles with equal volume using surface resolved simulations
Trunk, R.; Bretl, C.; Thäter, G.; Nirschl, H.; Dorn, M.; Krause, M. J.
2021. Computation, 9 (4), Art.-Nr.: 40. doi:10.3390/computation9040040

Towards shape optimisation of fluid flows using lattice Boltzmann methods and automatic differentiation
Zarth, A.; Klemens, F.; Thäter, G.; Krause, M. J.
2021. Computers and Mathematics with Applications, 90, 46–54. doi:10.1016/j.camwa.2021.02.016

Combining computational fluid dynamics and magnetic resonance imaging data using lattice Boltzmann based topology optimisation. PhD dissertation
Klemens, F.
2020, November 2. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000125499

Sample-Incremental Meta-Learning: Weight-Mapping with Deep Learning. master’s thesis
Huber, C.; Waibel, A.; Thäter, G.; Hussain, J.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000166145

Noise reduction of flow MRI measurements using a lattice Boltzmann based topology optimisation approach
Klemens, F.; Schuhmann, S.; Balbierer, R.; Guthausen, G.; Nirschl, H.; Thäter, G.; Krause, M. J.
2020. Computers & fluids, 197, Art.-Nr.: 104391. doi:10.1016/j.compfluid.2019.104391

Flow and heat transfer simulation with a thermal large eddy lattice Boltzmann method in an annular gap with an inner rotating cylinder
Gaedtke, M.; Hoffmann, T.; Reinhardt, V.; Thäter, G.; Nirschl, H.; Krause, M. J.
2019. International journal of modern physics / C, 30 (02n03), Art.-Nr.: 1950013. doi:10.1142/S012918311950013X

An auto-vecotorization friendly parallel lattice Boltzmann streaming scheme for direct addressing
Mohrhard, M.; Thäter, G.; Bludau, J.; Horvat, B.; Krause, M. J.
2019. Computers & fluids, 181, 1–7. doi:10.1016/j.compfluid.2019.01.001

Towards the simulation of arbitrarily shaped 3D particles using a homogenised lattice Boltzmann method
Trunk, R.; Marquardt, J.; Thäter, G.; Nirschl, H.; Krause, M. J.
2018. Computers & fluids, 172, 621–631. doi:10.1016/j.compfluid.2018.02.027

CFD-MRI : A coupled measurement and simulation approach for accurate fluid flow characterisation and domain identification
Klemens, F.; Schuhmann, S.; Guthausen, G.; Thäter, G.; Krause, M. J.
2018. Computers & fluids, 166, 218–224. doi:10.1016/j.compfluid.2018.02.022

Solving fluid flow domain identification problems with adjoint lattice Boltzmann methods
Klemens, F.; Förster, B.; Dorn, M.; Thäter, G.; Krause, M. J.
2018. Computers and mathematics with applications, 79 (1), 17–33. doi:10.1016/j.camwa.2018.07.010

Mathe ist cool! - Ein Podcast der Mathematik Fakultät des KIT zeigt wie spannend Mathe sein kann - Campusreport am 14.02.2017
Fuchs, S.; Thäter, G.
2017. doi:10.5445/DIVA/2017-106

Multiscale Simulation with a Two-Way Coupled Lattice Boltzmann Method and Discrete Element Method
Maier, M. L.; Henn, T.; Thaeter, G.; Nirschl, H.; Krause, M. J.
2017. Chemical engineering & technology, 40 (9), 1591–1598. doi:10.1002/ceat.201600547

Exact Poincaré constants in two-dimensional annuli
Rummler, B.; Růžička, M.; Thäter, G.
2017. ZAMM, 97 (1), 110–122. doi:10.1002/zamm.201500299

A 3D Lattice Boltzmann method for light simulation in participating media
Mink, A.; Thäter, G.; Nirschl, H.; Krause, M. J.
2016. Journal of computational science, 17, 431–437. doi:10.1016/j.jocs.2016.03.014

Lattice Boltzmann Methods for Particulate Flows with Medical and Technical Applications. PhD dissertation
Henn, T.
2016. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000061601

OpenLB - Strömungssimulation und -kontrolle für verfahrenstechnische Anwendungen
Krause, M.; Dörfler, W.; Maier, M.; Mink, A.; Nirschl, H.; Thäter, G.; Trunk, R.
2016. Jahrestreffen der ProcessNet-Fachgruppen Agglomerations- und Schüttguttechnik, Mehrphasenströmungen und Computational Fluid Dynamics, Bingen, 29.Februar - 2.März 2016

Parallel dilute particulate flow simulations in the human nasal cavity
Henn, T.; Thäter, G.; Dörfler, W.; Nirschl, H.; Krause, M. J.
2015. Computers & Fluids, 124 (Spec. Iss.), 197–207. doi:10.1016/j.compfluid.2015.08.002

Adjoint-based Fluid Flow Control and Optimisation with Lattice Boltzmann Methods
Krause, M. J.; Thäter, G.; Heuveline, V.
2013. Computers & Mathematics with Applications, 65 (6), 945–960. doi:10.1016/j.camwa.2012.08.007

Parameter estimation and optimal experimental design for the preparative chromatography
Nestler, A.; Thäter, G.
2011. Proceedings of the 4th EMCL-Workshop "Numerical Simulation, Optimization and High Performance Computing". Ed.: V. Heuveline, 50–55, Karlsruher Institut für Technologie (KIT)

Proceedings of the 4th EMCL-Workshop "Numerical Simulation, Optimization and High Performance Computing"
Heuveline, V.; Thäter, G. (Eds.)
2011. Karlsruher Institut für Technologie (KIT)

Natural convection between two horizontal coaxial cylinders
Passerini, A.; Ruzicka, M.; Thäter, G.
2009. ZAMM - Zeitschrift fur Angewandte Mathematik und Mechanik, 89 (5), 399–413

Natural convection in horizontal annuli: A lower bound for the energy
Ferrario, C.; Passerini, A.; Thäter, G.; Heuveline, V.
2008. Journal of engineering mathematics, 62, 247–259