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. Stefan Hain: The Schrödinger Equation: - Theory, Numerical Approximation and Model Reduction, Universität Ulm, second reviewer and examiner, 2024
  2. Lena Reichle: Title will be announced later, University of Konstanz, reviewer and examiner, 2024
  3. Christian Jäkle: Title will be announced later, University of Konstanz, reviewer and examiner, 2024
  4. Simon Buchwald: Title will be announced later, University of Konstanz, second reviewer and examiner, 2024
  5. Andrea Petrocchi: Optimal Input Design for Large-Scale Inverse Problems using PDE-Constrained Optimization, University of Konstanz, reviewer and examiner, 2024
  6. Richard Löscher: On Unified Frameworks for Space-Time Optimal Control and Least Squares Problems, TU Graz, reviewer
    and examiner, 2024
  7. Nicolai Jork: Solution Stability in PDE-Constrained Optimization, TU Wien, reviewer and examiner, 2023
  8. Marco Bernreuther: Nonsmooth PDEs: Efficient Algorithms, Model Order Reduction, Multiobjective PDE-Constrained Optimization, University of Konstanz, reviewer and examiner, 2023
  9. Angela Monti: Model Reduction and Data-Driven Techniques for Spatio-Temporal Dynamics of Turing and Oscillatory Type, Università del Salento, reviewer, 2023
  10. Tim Keil: Adaptive Reduced Basis Methods for Multiscale Problems and Large-scale PDE-constrained Optimization, University of Münster, second reviewer and examiner, 2022
  11. Jonas Siegfried Jehle: Uncertainty Management Framework for Automobile Crash Applications, Bundeswehr University Munich, second reviewer and examiner, 2022
  12. Bennet Gebken: Computation and analysis of Pareto critical sets in smooth and nonsmooth multiobjective optimization, University of Paderborn, second reviewer and examiner, 2022
  13. Jianjie Lu: Mixed-Integer Nonlinear Modeling and Optimization of Designing Decentralized Energy Supply Networks, reviewer and examiner, University of Konstanz, 2021
  14. Stefan Banholzer: ROM-Based Multiobjective Optimization with PDE Constraints, reviewer and examiner, University of Konstanz, 2021
  15. Denis Korolev: Reduced basis methods for quasilinear PDEs and applications to electrical machines, second reviewer and examiner, University of Koblenz Landau, 2021
  16. Manuel Schaller: Sensitivity Analysis and Goal Oriented Error Estimation for Model Predictive Control, third reviewer, University of Bayreuth, 2020
  17. Sandra Marschke: Reliable Modelling, Identification, and Optimisation of Violin Bridges, reviewer and examiner, University of Graz, 2020
  18. Caroline Geiersbach: Stochastic Approximation for PDE-Constrained Optimization under Uncertainty, reviewer, University of Vienna, 2019
  19. Luca Mechelli: POD-Based State-Constrained Economic Model Predictive Control of Convection-Diffusion Phenomena, reviewer and examiner, University of Konstanz, 2019
  20. Carmen Gräßle: Adaptivity in Model Order Reduction with Proper Orthogonal Decomposition, reviewer, University of Hamburg, 2019
  21. Dennis Beermann: POD-Based Scalar and Multiobjective Optimal Control of Evolution Equations Including Operater-Valued Variables, reviewer and examiner, University of Konstanz, 2019
  22. Andreas Schmidt: Feedback Control for Parametric Partial Differential Equations Using Reduced Basis Surrogate Models, second reviewer and examiner, University of Stuttgart, 2018
  23. Robert Gerard O'Connor: Reduced Basis Methods for the Analysis, Simulation, and Control of Noncoercive Parabolic Systems, second reviewer, RWTH Aachen University, 2018
  24. Sebastian Peitz: Exploiting Structure in Multiobjective Optimization and Optimal Control, second reviewer and examiner, University of Paderborn, 2017
  25. Sebastian Osterroth: Mathematical Models for the Simulation of Combined Depth and Cake Filtration Processesv, second reviewer, University of Kaiserslautern, 2017
  26. Stefan Trenz: POD-Based A-Posteriori Error Estimation for Control Problems Governed by Nonlinear PDEs, reviewer and examiner, University of Konstanz, 2017
  27. Mark Daniel Kärcher: Certified Reduced Basis Methods for Parametrized PDE-Constrained Optimization Problems, second reviewer, RWTH Aachen University, 2016
  28. 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
  29. 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
  30. 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
  31. Alexander Sommer: Effiziente und zuverlässige Ordnungsreduktionsverfahren zur breitbandigen Berechnung der Richtcharakteristik von Finite-Elemente-Modellen phasengesteuerter Gruppenantennen, third reviewer, University of Saarbrücken, 2015
  32. 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
  33. 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
  34. Oliver Lass: Reduced Order Modeling and Parameter Identification for Coupled Nonlinear PDE Systems, reviewer and examiner, University of Konstanz, 2014
  35. Matthias Schu: Adaptive Trust-Region POD Methods and Their Applications in Finance, second reviewer and examiner, University of Trier, 2012
  36. Martin Sommer: Implementation of an Electrochemical Model for Lithium-Ion Battery Condition Monitoring, second reviewer and examiner, Graz University of Technology, 2012
  37. Markus Müller: Uniform Convergence of the POD Method and Applications to Optimal Control, second reviewer, University of Graz, 2011
  38. Jan Marburger: Optimal Control Based on Meshfree Approximations, second reviewer, University of Kaiserslautern, 2011
  39. Michelle Vallejos: Multigrid Optimization Methods for Elliptic Optimal Control Problems, second reviewer, University of Graz, 2008
  40. Klaus Prenninger: Objektive Fahrdynamikanalyse von Kraftfahrzeugen mittels modellbasierter Paramateridentifikation, second reviewer and examiner, Graz University of Technology, 2008
  41. Patricia Astrid: Model Reduction Techniques for Process Simulations: a Proper Orthogonal Decomposition Approach, second reviewer and examiner, Eindhoven University of Technology, 2004
  42. 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. Felix Sauer: Titel wird noch bekannt gegeben, Universität Konstanz, 2023
  2. Jannis Bartikowsi: Titel wird noch bekannt gegeben, Universität Konstanz, 2023
  3. Magnus Gohm: Deep Q-Learning for Infinite-Horizon Optimal Control Problems Governed by Parabolic PDEs, second reviewer, University of Konstanz, 2024
  4. Joschua Braun: Space-Time Reduced Basis Method for Solving Parameterized Heat Equations, University of Konstanz, 2023
  5. 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
  6. Hannes Kühnert: Optimal Control of Port-Hamiltonian Systems with Minimal Energy supply: A Penalty Method Approach, Universität Konstanz, 2023
  7. Jan Rohleff: Data-Driven Model-Order Reduction for Model Predictive Control, Universität Konstanz, 2023
  8. Isabella Helms: Reduced Basis Methods for Stationary and Non-Stationary Linear Elasticity Equations, University of Konstanz, 2022
  9. Michael Kartmann: RB-Based Hierarchical Multiobjective Optimization, University of Konstanz, 2022
  10. Hai Dang Nguyen Pham: Proper Orthogonal Decomposition Analysis for a Non-Linear Spatiotemporal SIR-Model, University of Konstanz, 2022
  11. Florian Digeser: Reduced Basis Methods and Sampling Strategies for an Unsteady Advection-Diffusion Equation with Uncertain Parameters, University of Konstanz, 2022
  12. Fabio Hauger: Adaptive Sampling and Online Enrichment Strategies for RB-Based PDE-Constrained Stochastic Optimization, University of Konstanz, 2021
  13. Calvin Feineis: Efficient Stochastic Descent Methods for PDE-Constrained Optimization with Uncertain Coefficients, University of Konstanz, 2021
  14. Simon Buchwald: On the Convergence of a Greedy Algorithm for Operator Reconstruction, second reviewer, University of Konstanz, 2020
  15. Dominik Höltge: Discontinuous Galerkin Methods and Model Reduction for the nonlinear Schrödinger Equation with FEniCS and DUNE, University of Konstanz, 2020
  16. Lena Maria Reichle: Set-Oriented Multiobjective Optimal Control of Elliptic Non-Linear Partial Differential Equations using POD Objectives and Gradients, University of Konstanz, 2020
  17. Sebastian Sinnwell: Reduced-Basis Methods for PDE-Constrained Elliptic Optimal Control Problems with Uncertain Coefficients, University of Konstanz, 2020
  18. Marco Bernreuter: RB-Based PDE-Constrained Non-Smooth Optimization, University of Konstanz, 2019
  19. Christian Jäkle: POD-Based Mixed-Integer Optimal Control of Convection-Diffusion Equations  , University of Konstanz, 2019
  20. Felix Spura: Reduced-Order Bicriterial Optimal Control of Evolution Equations, University of Konstanz, 2019
  21. Jonas Jehle: First-order augmented Lagrangian methods for state constraint problems, University of Konstanz, 2018
  22. Eugen Makarov: POD-Based Bicriterial Optimal Control of Time-Dependent Convection-Diffusion Equations with Basis Update, University of Konstanz, 2018
  23. Freya Bachmann: A Branch-and-Bound Approach to Mixed-Integer Optimal Control Using POD, University of Konstanz, 2017
  24. Marco Daub: Konvexe Optimierung am Beispiel volumenmaximaler einbeschriebener Rechtecksmengen, University of Konstanz, 2017
  25. Stefan Banholzer: POD-Based Bicriterial Optimal Control of Convection-Diffusion Equations, University of Konstanz, 2017
  26. Kathrin Melcher: Optimization with ODE Constraints for the Ultrafiltration Rate during Hemodialysis Treatment, University of Konstanz, 2016
  27. Felicitas Binder: Sensitivity analysis for a parametrized model for erythropoiesis involving structured population equations with one structural variable, University of Konstanz, 2016
  28. Elena Schnell: Using POD Methods for Option Pricing with Jump Diffusion Models, University of Konstanz, 2015
  29. Kevin Sieg: Application of Proper Orthogonal Decomposition to Population Balance Equations of Particulate Processes, University of Konstanz, 2014
  30. Jianjie Lu: Affine POD Galerkin schemes for option pricing in jump-diffusion models, University of Konstanz, 2014
  31. 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
  32. Eva Grimm: Optimality System POD and A-Posteriori Error Analysis for Linear-Quadratic Optimal Control Problems, University of Konstanz, 2013
  33. Tamara Kümpflein: Development of a FEM Solver for a Nonlinear 3D Semiconductor Model, second reviewer, University of Konstanz, 2013
  34. Patrick Knapp: POD Based Model Reduction for High Pressure Hydrogen Gas Storage Fueling Process, University of Konstanz, 2013
  35. Eva Hägele: Suboptimale modellprädikative Steuerung des Herzkreislauf- und Atmungssystems, University of Konstanz, 2012
  36. Antonio Stoyanov: Predicting Patterns in Financial Time Series Using a Genetic Algorithm, second reviewer, University of Konstanz, 2011

Master theses (M.Ed.)

  1. Marius Kaltenbach: The Levenberg-Marquardt Method and its Application in Python, University of Konstanz, 2022
  2. Felix Sauer: Parameter Identification Problems of ODEs with Uncertain Initial Conditions, University of Konstanz, 2022
  3. Julia Albicker: The Gauß-Newton Method and its Implementation in the Optimization Library Oppy, University of Konstanz, 2022
  4. Jens Gebert:  Multi-Objective Optimal Control of a Pandemic Model for Covid-19 Management, University of Konstanz, 2022
  5. Nena Kimpfler: Modellierung und Sensitivitätsanalyse der COVID-19 Infektionen anhand des SEI3RD-Modells, University of Konstanz, 2022

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. Alexander Kloß: Title will be announced later, University of Konstanz, 2023
  2. Lennard Lohrmann: Title will be announced later, University of Konstanz, 2023
  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 Song: Parameter 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