Theses

Habilitation theses

  1. Damiano Lombardi: Contributions to Scientific Computing for Data Simulation Interaction in Biomedical Applications, reviewer and examiner, Sorbonne Université, 2020
  2. Christian Kirches: Contributions to Direct Optimal Control of Switched and Uncertain Systems, reviewer, University of Heidelberg, 2017

Ph.D. theses

  1. Saskia Dietze: Title will be announced later, RWTH Aachen, second reviewer and examiner, 2024
  2. Lucas Perrin: Title will be announced later, INRIA Paris, second reviewer and examiner, 2024
  3. Konstantin Sonntag: Title will be announced later, Universität Paderborn, second reviewer and examiner, 2024
  4. Lena Reichle: Title will be announced later, University of Konstanz, reviewer and examiner, 2024
  5. Simon Buchwald: Title will be announced later, University of Konstanz, second reviewer and examiner, 2024
  6. Stefan Hain: The Schrödinger Equation: - Theory, Numerical Approximation and Model Reduction, Universität Ulm, first reviewer and examiner, 2024
  7. Christian Jäkle: Dynamics of District Heating Networks: Modeling, Simulation and Optimization using Differential-Algebraic Equations, University of Konstanz, reviewer and examiner, 2024
  8. Andrea Petrocchi: Optimal Input Design for Large-Scale Inverse Problems using PDE-Constrained Optimization, University of Konstanz, reviewer and examiner, 2024
  9. Richard Löscher: On Unified Frameworks for Space-Time Optimal Control and Least Squares Problems, TU Graz, reviewer
    and examiner, 2024
  10. Nicolai Jork: Solution Stability in PDE-Constrained Optimization, TU Wien, reviewer and examiner, 2023
  11. Marco Bernreuther: Nonsmooth PDEs: Efficient Algorithms, Model Order Reduction, Multiobjective PDE-Constrained Optimization, University of Konstanz, reviewer and examiner, 2023
  12. Angela Monti: Model Reduction and Data-Driven Techniques for Spatio-Temporal Dynamics of Turing and Oscillatory Type, Università del Salento, reviewer, 2023
  13. Tim Keil: Adaptive Reduced Basis Methods for Multiscale Problems and Large-scale PDE-constrained Optimization, University of Münster, second reviewer and examiner, 2022
  14. Jonas Siegfried Jehle: Uncertainty Management Framework for Automobile Crash Applications, Bundeswehr University Munich, second reviewer and examiner, 2022
  15. Bennet GebkenComputation and analysis of Pareto critical sets in smooth and nonsmooth multiobjective optimization, University of Paderborn, second reviewer and examiner, 2022
  16. Jianjie Lu: Mixed-Integer Nonlinear Modeling and Optimization of Designing Decentralized Energy Supply Networks, reviewer and examiner, University of Konstanz, 2021
  17. Stefan Banholzer: ROM-Based Multiobjective Optimization with PDE Constraints, reviewer and examiner, University of Konstanz, 2021
  18. Denis KorolevReduced basis methods for quasilinear PDEs and applications to electrical machines, second reviewer and examiner, University of Koblenz Landau, 2021
  19. Manuel SchallerSensitivity Analysis and Goal Oriented Error Estimation for Model Predictive Control, third reviewer, University of Bayreuth, 2020
  20. Sandra Marschke: Reliable Modelling, Identification, and Optimisation of Violin Bridges, reviewer and examiner, University of Graz, 2020
  21. Caroline Geiersbach: Stochastic Approximation for PDE-Constrained Optimization under Uncertainty, reviewer, University of Vienna, 2019
  22. Luca Mechelli: POD-Based State-Constrained Economic Model Predictive Control of Convection-Diffusion Phenomena, reviewer and examiner, University of Konstanz, 2019
  23. Carmen Gräßle: Adaptivity in Model Order Reduction with Proper Orthogonal Decomposition, reviewer, University of Hamburg, 2019
  24. Dennis Beermann: POD-Based Scalar and Multiobjective Optimal Control of Evolution Equations Including Operater-Valued Variables, reviewer and examiner, University of Konstanz, 2019
  25. Andreas Schmidt: Feedback Control for Parametric Partial Differential Equations Using Reduced Basis Surrogate Models, second reviewer and examiner, University of Stuttgart, 2018
  26. Robert Gerard O'Connor: Reduced Basis Methods for the Analysis, Simulation, and Control of Noncoercive Parabolic Systems, second reviewer, RWTH Aachen University, 2018
  27. Sebastian Peitz: Exploiting Structure in Multiobjective Optimization and Optimal Control, second reviewer and examiner, University of Paderborn, 2017
  28. Sebastian Osterroth: Mathematical Models for the Simulation of Combined Depth and Cake Filtration Processesv, second reviewer, University of Kaiserslautern, 2017
  29. Stefan Trenz: POD-Based A-Posteriori Error Estimation for Control Problems Governed by Nonlinear PDEs, reviewer and examiner, University of Konstanz, 2017
  30. Mark Daniel Kärcher: Certified Reduced Basis Methods for Parametrized PDE-Constrained Optimization Problems, second reviewer, RWTH Aachen University, 2016
  31. Martin Gubisch: Model order reduction techniques for the optimal control of parabolic partial differential equations with control and state constraints, reviewer, University of Konstanz, 2016
  32. Andrea Wesche: Reduced Basis Methods for Model Reduction and Sensitivity Analysis of Complex Partial Differential Equations with Applications to Lithium-Ion Batteries, reviewer and examiner, University of Konstanz, 2016
  33. Marina Schneider: Model Order Reduction in Parameter Identification Problems - Error Estimates and Application to Implied Volatility Surfaces, second reviewer and examiner, University of Trier, 2015
  34. Alexander Sommer: Effiziente und zuverlässige Ordnungsreduktionsverfahren zur breitbandigen Berechnung der Richtcharakteristik von Finite-Elemente-Modellen phasengesteuerter Gruppenantennen, third reviewer, University of Saarbrücken, 2015
  35. Federico Negri: Efficient Reduction Techniques for the Simulation and Optimization of Parametrized Systems: Analysis and Applications, reviewer and examiner, École Politechnique Fédérale de Lausanne, 2015
  36. Julia Susanne Springer: Multiphase Adjoint Optimization for Efficient Calculation of Rigid Body Positions in Navier-Stokes Flow, third reviewer and examiner, University of Ulm, 2014
  37. Oliver Lass: Reduced Order Modeling and Parameter Identification for Coupled Nonlinear PDE Systems, reviewer and examiner, University of Konstanz, 2014
  38. Matthias Schu: Adaptive Trust-Region POD Methods and Their Applications in Finance, second reviewer and examiner, University of Trier, 2012
  39. Martin Sommer: Implementation of an Electrochemical Model for Lithium-Ion Battery Condition Monitoring, second reviewer and examiner, Graz University of Technology, 2012
  40. Markus Müller: Uniform Convergence of the POD Method and Applications to Optimal Control, second reviewer, University of Graz, 2011
  41. Jan Marburger: Optimal Control Based on Meshfree Approximations, second reviewer, University of Kaiserslautern, 2011
  42. Michelle Vallejos: Multigrid Optimization Methods for Elliptic Optimal Control Problems, second reviewer, University of Graz, 2008
  43. Klaus Prenninger: Objektive Fahrdynamikanalyse von Kraftfahrzeugen mittels modellbasierter Paramateridentifikation, second reviewer and examiner, Graz University of Technology, 2008
  44. Patricia Astrid: Model Reduction Techniques for Process Simulations: a Proper Orthogonal Decomposition Approach, second reviewer and examiner, Eindhoven University of Technology, 2004
  45. Juan Carlos de los Reyes: Constrained Optimal Control of Stationary Viscous Incompressible Fluids by a Primal-Dual Active Set Method, second reviewer and examiner, University of Graz, 2003

Master theses (M.Sc.)

  1. Lennart Lohrmann: Titel wird noch bekannt gegeben, University of Konstanz, 2025
  2. Thanh-Van Huynh: Titel wird noch bekannt gegeben, University of Konstanz, 2025
  3. Felix Sauer: Titel wird noch bekannt gegeben, University of Konstanz, 2023
  4. Jannis Bartikowsi: Reduced Basis Approximation of Elliptic Equations Using the Greedy Algorithm, University of Konstanz, 2024
  5. Magnus Gohm: Deep Q-Learning for Infinite-Horizon Optimal Control Problems Governed by Parabolic PDEs, second reviewer, University of Konstanz, 2024
  6. Joschua Braun: Space-Time Reduced Basis Method for Solving Parameterized Heat Equations, University of Konstanz, 2023
  7. Maximilian Reihn: Sparse Grid Stochastic Collocation for Partial Differential Equations with Random Data as Constraint for Optimal Control Problems, second reviewer, University of Konstanz, 2023
  8. Hannes Kühnert: Optimal Control of Port-Hamiltonian Systems with Minimal Energy supply: A Penalty Method Approach, Universität Konstanz, 2023
  9. Jan Rohleff: Data-Driven Model-Order Reduction for Model Predictive Control, Universität Konstanz, 2023
  10. Isabella Helms: Reduced Basis Methods for Stationary and Non-Stationary Linear Elasticity Equations, University of Konstanz, 2022
  11. Michael Kartmann: RB-Based Hierarchical Multiobjective Optimization, University of Konstanz, 2022
  12. Hai Dang Nguyen PhamProper Orthogonal Decomposition Analysis for a Non-Linear Spatiotemporal SIR-Model, University of Konstanz, 2022
  13. Florian Digeser: Reduced Basis Methods and Sampling Strategies for an Unsteady Advection-Diffusion Equation with Uncertain Parameters, University of Konstanz, 2022
  14. Fabio Hauger: Adaptive Sampling and Online Enrichment Strategies for RB-Based PDE-Constrained Stochastic Optimization, University of Konstanz, 2021
  15. Calvin Feineis: Efficient Stochastic Descent Methods for PDE-Constrained Optimization with Uncertain Coefficients, University of Konstanz, 2021
  16. Simon Buchwald: On the Convergence of a Greedy Algorithm for Operator Reconstruction, second reviewer, University of Konstanz, 2020
  17. Dominik Höltge: Discontinuous Galerkin Methods and Model Reduction for the nonlinear Schrödinger Equation with FEniCS and DUNE, University of Konstanz, 2020
  18. Lena Maria Reichle: Set-Oriented Multiobjective Optimal Control of Elliptic Non-Linear Partial Differential Equations using POD Objectives and Gradients, University of Konstanz, 2020
  19. Sebastian Sinnwell: Reduced-Basis Methods for PDE-Constrained Elliptic Optimal Control Problems with Uncertain Coefficients, University of Konstanz, 2020
  20. Marco Bernreuter: RB-Based PDE-Constrained Non-Smooth Optimization, University of Konstanz, 2019
  21. Christian Jäkle: POD-Based Mixed-Integer Optimal Control of Convection-Diffusion Equations  , University of Konstanz, 2019
  22. Felix Spura: Reduced-Order Bicriterial Optimal Control of Evolution Equations, University of Konstanz, 2019
  23. Jonas Jehle: First-order augmented Lagrangian methods for state constraint problems, University of Konstanz, 2018
  24. Eugen Makarov: POD-Based Bicriterial Optimal Control of Time-Dependent Convection-Diffusion Equations with Basis Update, University of Konstanz, 2018
  25. Freya Bachmann: A Branch-and-Bound Approach to Mixed-Integer Optimal Control Using POD, University of Konstanz, 2017
  26. Marco Daub: Konvexe Optimierung am Beispiel volumenmaximaler einbeschriebener Rechtecksmengen, University of Konstanz, 2017
  27. Stefan Banholzer: POD-Based Bicriterial Optimal Control of Convection-Diffusion Equations, University of Konstanz, 2017
  28. Kathrin Melcher: Optimization with ODE Constraints for the Ultrafiltration Rate during Hemodialysis Treatment, University of Konstanz, 2016
  29. Felicitas Binder: Sensitivity analysis for a parametrized model for erythropoiesis involving structured population equations with one structural variable, University of Konstanz, 2016
  30. Elena Schnell: Using POD Methods for Option Pricing with Jump Diffusion Models, University of Konstanz, 2015
  31. Kevin Sieg: Application of Proper Orthogonal Decomposition to Population Balance Equations of Particulate Processes, University of Konstanz, 2014
  32. Jianjie Lu: Affine POD Galerkin schemes for option pricing in jump-diffusion models, University of Konstanz, 2014
  33. Marco Menner: Einsatz von mathematischer Optimierung bei der Auslegung von Strom-, Gas- und Fernwärmenetzen, University of Konstanz, in cooperation with the company Rechenzentrum für Versorgungsnetze Wehr GmbH, 2013
  34. Eva Grimm: Optimality System POD and A-Posteriori Error Analysis for Linear-Quadratic Optimal Control Problems, University of Konstanz, 2013
  35. Tamara Kümpflein: Development of a FEM Solver for a Nonlinear 3D Semiconductor Model, second reviewer, University of Konstanz, 2013
  36. Patrick Knapp: POD Based Model Reduction for High Pressure Hydrogen Gas Storage Fueling Process, University of Konstanz, 2013
  37. Eva Hägele: Suboptimale modellprädikative Steuerung des Herzkreislauf- und Atmungssystems, University of Konstanz, 2012
  38. Antonio Stoyanov: Predicting Patterns in Financial Time Series Using a Genetic Algorithm, second reviewer, University of Konstanz, 2011

Master theses (M.Ed.)

Diploma theses

  1. Tibor Herrmann: Ein Shape-From-Shading-Ansatz mit Quadrikenmodell zur Objekterkennung, second reviewer, University of Konstanz, 2018
  2. Jan Wilhelm Ruh: Lagrange Ansätze für das Pooling Problem, University of Konstanz, 2017
  3. Clemens Handler: Positivity preserving iterative algorithms for deconvolution problems, second reviewer, University of Konstanz, 2016
  4. Nicolas Kreuzer: Asymptotische Stabilität von POD-basierter modellprädiktiver Regelung für partielle Differentialgleichungen, University of Konstanz, 2016
  5. Simone Metzdorf: Optimality system POD for time-variant, linear-quadratic control problems, University of Konstanz, 2015
  6. Laura Lippmann: Optimal administration strategies for EPO based on the model for erythropoiesis involving structured population equations with one structural variable, University of Konstanz, 2015
  7. Dennis Beermann: Reduced-Order Methods for a Parametrized Model for Erythropoiesis Involving Structured Population Equations with One Structural Variable, University of Konstanz, 2015
  8. Carmen Gräßle: POD based Inexact SQP Methods for Optimal Control Problems governed by a Semilinear Heat Equation, University of Konstanz, 2014
  9. Robert Schwieger: Entwicklung und Untersuchung von Interpolationsverfahren zur Schnittstellenoptimierung zwischen semiautomatischer 2D- und 3D-Segmentierung zur Abgrenzung dreidimensionaler Gehirnstrukturen, University of Konstanz, 2014
  10. Sabrina Rogg: Trust Region POD for Optimal Boundary Control of a Semilinear Heat Equation, University of Konstanz, 2014
  11. Xi Zhang: Optimale Steuerung des Herzkreislauf- und Atmungssystems mit Zustandsbeschränkungen, University of Konstanz, 2013
  12. Lena Meyer: Development of a Flexible 3D-FEM Software Package for Second Order Equations, second reviewer, University of Konstanz, 2013
  13. Milda Jasunaite: Numerische Analyse einer nichtlinearen degenerierten elliptischen Gleichung für die mathematische Bildverarbeitung, University of Konstanz, 2012
  14. Charlotte Schroer: Modellprädiktive Regelung unter Verwendung von POD Modellreduktion, University of Konstanz, 2012
  15. Alina Studinger: Numerical Analysis of POD a-posteriori error estimates for linear-quadratic optimal control problems, University of Konstanz, 2011
  16. Christine Haffelt: Runge-Kutta-artige Verfahren für nichtlineare Integralgleichungen, second reviewer, Universität Konstanz, 2011
  17. Stefan Wolf: Optimization of Pacing Strategies for Cycling Time Trials, second reviewer, University of Konstanz, 2011
  18. Oliver Lass: Space Mapping Technique for the Optimization of a Thickness Parameter in the p-Laplace Equation, University of Graz, 2009
  19. Bernhard Brunnsteiner: Effiziente Modellreduktion von nichtlinearen, parameterabhängigen PDEs, University of Graz, 2009
  20. Benjamin Gotthardt: Parameterschätzung eines nichtlinearen Einspur-Fahrzeugmodells, in cooperation with the Institute of Automotive Engineering (Prof. Dr. W. Hirschberg, TU Graz), 2009
  21. Christian Mayer: Verification and improvement of the oil balance calculation in hydrodynamic lubricated radial slider bearings, in cooperation with AVL List GmbH, University of Graz, 2008
  22. Martin Kahlbacher: Galerkin proper orthogonal decomposition methods for scalar parameter estimation in elliptic systems, Universität Graz, 2006
  23. Andreas Omann: Modellbasierte Ansätze/Neuronale Netze zur Beschreibung des fahrbaren Bereichs bei Verbrennungsmotoren, in cooperation with AVL List GmbH, TU Graz, 2006
  24. Alexander Schwaigkofler: Adaptive Ventiltechnologie für hydraulische Systeme, in cooperation with Julius Blum GmbH, TU Graz, 2006
  25. Ian Kopacka: Analysis and Optimization of Valve Train Dynamics in Frequency Domain, in cooperation with AVL List GmbH, Universität Graz, 2005
  26. Melanie Wogrin: Trust-Region Newton-CG Verfahren zur Optimalsteuerung der Laser-Intensität bei der Laser-Oberflächenhärtung von Stahl, University of Graz, 2004
  27. Franz Diwoky: Proper Orthogonal Decomposition-Methods for the Opimal Control of a Nonlinear Heat Equation, second reviewer, University of Graz, 2000

Theses (Zulassungsarbeit)

  1. Konstantin Ott: SQP-Verfahren zur hydraulischen Auslegung von Wassernetzen, University of Konstanz, 2015
  2. Markus Brack: Optimale Snapshotwahl bei gekoppelten elliptisch-parabolischen Systemen aus der Batteriemodellierung, University of Konstanz, 2013

Bachelor theses (B.Sc.)

  1. Phi Long Nguyen: Titel wird noch bekannt gegeben, University of Konstanz, 2024
  2. Lennart LohrmannDynamic Mode Decomposition and its Application to a High-Dimensional Reaction-Diffusion System, University of Konstanz, 2024
  3. Thanh-Van Huynh: Exploring Advanced Techniques in Mixed-Integer Linear Programming: A Study of the Branch-and-Cut Framework, University of Konstanz, 2023
  4. Johannes Mayenberger: Controllability and Observability Gramians for Linear-Time-Invariant systems, University of Konstanz, 2023
  5. Dylan Karakoc: Adaptive Step Sizes for Stochastic Gradient Descent, University of Konstanz, 2023
  6. Jan Reichle: Parameterschätzung für ein linear-elastisches Kontaktproblem mit Hilfe Neuronaler Netze, University of Konstanz, 2023
  7. Boan SongParameter Estimation in the SIR model in Mathematical Epidemiology, Universität Konstanz, 2022
  8. Esther Weinberg: Deep Learning zur Lösung von parametrischen gewöhnlichen Differentialgleichungen, University of Konstanz, 2021
  9. Michael Thiele: Balanced Realizations of Finite Dimensional Time Invariant Dynamical Systems, University of Konstanz, 2021
  10. Florian Wolf: Stochastic Gradient Descent and its Application for Parametrized Boundary Value Problems under Uncertainty, University of Konstanz, 2021
  11. Jannis Bartikowski: Das Trust Region Verfahren mit CG-Steihaug Methode und BFGS Updates im Vergleich mit dem globalisierten Newton-Verfahren und dem Gradienten-Verfahren, University of Konstanz, 2021
  12. Tizian Weber: A machine learning approach to image restoration using a denoising GAN as part of the prior, University of Konstanz, 2020
  13. Kevin Kress: A Mesh-Free, Physics-Constrained Approach to Solve Partial Differential Equations with a Deep Neural Network, University of Konstanz, 2020
  14. Mika Rau: Das Trust-Region-Steihaug Verfahren zur numerischen Optimierung, University of Konstanz, 2020
  15. Jan Rohleff: An Incremental Approach to Dynamic Mode Decomposition for Time-Varying Systems with Applications to a Model for Erythropoiesis, University of Konstanz, 2020
  16. Maximilian Reihn: Numerical and Theoretical Analysis of Neural Networks to Solve Differential Equations, University of Konstanz, 2020
  17. Stefan Kienle: Finite Dimensional Optimal Control; Nonlinear Conjugate Gradient Methods and its Implementation in Python, University of Konstanz, 2020
  18. Daniel Hoffmann: Implementierung von Innere-Punkte Verfahren in Python, University of Konstanz, 2019
  19. Hai Dang Nguyen Pham: Numerisches Lösen von der Wärmeleitungsgleichung mit der Finite-Elemente-Methode und Implementierung in Python, University of Konstanz, 2019
  20. Christian Jäkle: Simplex und das Branch-and-Bound-Verfahren mit Implementierung in Python, University of Konstanz, 2017
  21. Simon Buchwald: Implementierung des L-BFGS-B-Verfahrens in Python, University of Konstanz, 2017
  22. Marco Bernreuther: Solving Mixed-Integer Programming Problems Using Piecewise Linearization Methods, University of Konstanz, 2017
  23. Fritz Hartmann: FD-Verfahren zum Lösen einer linearen Wärmeleitungsgleichung: Herleitung und Implementierung in Python, University of Konstanz, 2016
  24. Jonas Siegfried Jehle: Das Gauß-Newton-Verfahren zur Lösung nichtlinearer Parameterschätzprobleme, University of Konstanz, 2016
  25. Jessica Odenwald: Convex optimization and its application in optimal transport, second reviewer, University of Konstanz, 2016
  26. Rebekka Müller: Eine Einführung in den Simplex-Algorithmus, University of Konstanz, 2015
  27. Kathrin Maria Kölle: Parameterschätzungen bei Anfangswertproblemen, University of Konstanz, 2015
  28. Robert Leitner: Nonlinear conjugate gradient methods for discretized elliptic optimal control problems, University of Konstanz, 2015
  29. Sebastian Sahli: FD-Verfahren für die Gleichungen der linearen Elastizitätstheorie, second reviewer, University of Konstanz, 2013
  30. Freya Bachmann: Proper Orthogonal Decomposition für lineare parabolische Differentialgleichungen, University of Konstanz, 2012
  31. Marco Daub: Linear-quadratische Regelung von parabolischen Differentialgleichungen, University of Konstanz, 2012
  32. Daniel Schropp: Modellreduktion mit Balanced Truncation, University of Konstanz, 2012
  33. Nicole Zutavern: Linear-quadratische Steuerung diskretisierter elliptischer Differentialgleichungen, University of Konstanz, 2012
  34. Min Xue: Differential-Algebraische Gleichungen vom Index 1 und 2 mit Anwendungen auf elektrische Schaltkreise, second reviewer, University of Konstanz, 2012
  35. Tina Stark: Das Verfahren der konjugierten Gradienten für elliptische Differentialgleichungen: Herleitung und Analyse, University of Konstanz, 2012
  36. Patrick Knapp: Newton-Verfahren zur optimalen Steuerung nichtlinearer elliptischer Randwertaufgaben, University of Konstanz, 2011 (Bachelor seminar and examples: Example 1.5, Example 2, Example 3)
  37. Kevin Sieg: Sequentielle quadratische Programmierung zur optimalen Steuerung einer nichtlinearen elliptischen Randwertaufgabe, University of Konstanz, 2010
  38. Tamara Kümpflein: Parameteridentifikation in einem Solarzellenmodell, second reviewer, University of Konstanz, 2009

Bachelor theses (B.Ed.)

  1. Laura Baldszus: Bildkomprimierung mittels Singulärwertzerlegung: Eine Analyse verschiedener Bildtypen anhand der Farbvielfalt und des Detailreichtums, University of Konstanz, 2023
  2. Alison Kusche: Numerische Untersuchung von Algorithmen in neuronalen Netzen am Beispiel der Erkennung handgeschriebener Ziffern, University of Konstanz, 2022

B. Sc. of Computer Science

  1. Tizian Weber: A machine learning approach to image restoration using a denoising GAN as part of the prior, second reviewer, University of Konstanz, 2024