Master Thesis

We offer master theses in applied mathematics, inverse problems, photoacoustic imaging, computed tomography, deep learning and neural networks. In case you are interested, please contact Univ.-Prof. Dr. Markus Haltmeier for further infor-mation.

Currently available master topics can be found on the bulletin board at the department of mathematics.

 

Finished Master Projects

2018

  • Die JPEG-Komprimierung : Ein Einblick in die mathematische Bildverarbeitung für interessierte SchülerInnen
    Student: Auer, Naomi
    Supervisor: Markus Haltmeier
    Graduation 2018
  • Solving the limited view problem in photoacoustic tomography via operator learning
    Student: Florian Dreier
    Supervisor: Markus Haltmeier, Sergiy Pereverzyev
    Graduation 2018

2017

  • Nonlinear Compressive Time-of-Flight 3D Imaging
    Student: Antholzer Stephan
    Supervisor: Markus Haltmier
    Graduation 2017
  • Efficient Data Representation in Automotive Radar
    Student: Sappl Johannes
    Supervisor: Markus Haltmier
    Graduation 2017
  • Convolutional Neural Networks for Pattern Recognition in Fashion Images
    Student: Tuinhof Hessel
    Supervisor: Markus Haltmeier
    Graduation 2017
  • An efficient Galerkin approach for photoacoustic tomography
    Student: Schwab Johannes
    Supervisor: Markus Haltmeier
    Graduation 2017
  • Computertomographie als praxisbezogene Anwendung von Fourierreihen im Schulunterricht
    Student: Ortner Laurin Julian
    Supervisor: Markus Haltmeier
    Graduation 2017
  • Einführung in die Matrizenrechung und ihre Anwendungen via Matura Wiki
    Student: Carina Tamara Biegger
    Supervisor: Richard Kowar
    Graduation 2017

2016

  • Prediction of short term customer purchase
    Student: Schmuck Claudia
    Supervisor: Markus Haltmeier
    Graduation 2016
  • Das Problem der schwingenden Saiten für technische Schulen
    Student: Carmen Pleschberger
    Supervisor: Richard Kowar
    Graduation 2016
  • Gewöhnliche Differentialgleichungen in der Schule
    Student: Johannes Bilgeri
    Supervisor: Richard Kowar
    Graduation 2016
  • Regularisierung mittels Curvelets zur tomographischen Bildrekonstruktion
    Student: Lechner Julia
    Supervisor: Markus Haltmeier
    Graduation 2016

2015

  • Framework for Compressed Sensing in Time-of-Flight based 3D Imaging
    Student: Wolf Christoph Norbert
    Supervisor: Markus Haltmeier
    Graduation 2015
  • Arithmetik leicht gemacht. Wiederholung und Vertiefung für jedermann
    Student: Magdalena Kammel
    Supervisor: Richard Kowar
    Graduation 2015
  • Iterative Methoden zur inversen Strahlentherapie-Planung
    Student: Vogrin Lena Eva
    Supervisor: Markus Haltmeier
    Graduation 2015
  • Coherence enhancing diffusion filtering in image processing
    Student: Spasojevic Jelena
    Supervisor: Markus Haltmeier
    Graduation 2015
  • Inverse Probleme für die Schule
    Student: Silvia Ganner
    Supervisor: Richard Kowar
    Graduation 2015
  • Anwednung für höhere und technische Schulen mit enem Ausblick auf Integralgleichungen
    Student: Christopher Stadler
    Supervisor: Richard Kowar
    Graduation 2015

2014

  • The forward problem in quantitative photoacoustic tomography: transport and diffusive regime
    Student: Rabanser Simon
    Supervisor: Markus Haltmeier
    Graduation 2014
  • Application of the Radiative Transfer Equation in Photoacoustic Tomography
    Student: Pirker Alexander
    Supervisor: Markus Haltmeier
    Graduation 2014

2013

  • Über eine heuristische Parameterwahl für Regularisierungsmethoden
    Student: Emanuel Jarosch
    Supervisor: Richard Kowar
    Graduation 2013
  • Abriss der Wahrscheinlichkeitstheorie
    Student: Simon Schnetzer
    Supervisor: Richard Kowar
    Graduation 2013
  • Schwingungen im technischen Unterricht
    Student: Riccardo Werner Schranz
    Supervisor: Richard Kowar
    Graduation 2012

Open Bachelor Projects

  • Reconstruction algorithms for multi-spectral X-ray CT imaging
    For the project description see [pdf pdf button]
    Supervisors: M. Haltmeier, L. Neumann
  • Free the bird - Inpainting
    For the project description see [pdf pdf button]
    Supervisor: K. Schnass
  • Integrating low-rank components into weighted KSVD for dictionary based inpainting
    For the project description see [pdf pdf button]
    Supervisor: K. Schnass
  • Masked Hard Thresholding Pursuit for dictionary based inpainting
    For the project description see [pdf pdf button]
    Supervisor: K. Schnass
  • Initialisation strategies for dictionary learning
    For the project description see [pdf pdf button]
    Supervisor: K. Schnass
  • Numerical inversion of a broken ray transform
    For the project description see [pdf pdf button]
    Supervisor: M. Haltmeier
  • Product integration for Abel integral equations
    For the project description see [pdf pdf button]
    Supervisor: M. Haltmeier
  • Convergence analysis of the fast iterative shrinkage-thresholding algorithm
    For the project description see [pdf pdf button]
    Supervisor: M. Haltmeier
  • Simulation of dissipative waves
    For the project description see [pdf pdf button]
    Supervisor: R. Kowar

 

Current Bachelor Projects

  • Integrating low-rank components into weighted KSVD for dictionary based inpainting
    Supervisor: K. Schnass [pdf pdf button]
    Student: Markus Tiefenthaler
  • Markov chain Monte Carlo methods
    Supervisor: M. Haltmeier
    Student: Mathias Wasle

 

Finished Bachelor Projects

2018

  • Inversion of the Conical Radon Transform
    Supervisor: M. Haltmeier
    Student: Andrea Ebner
    Graduation 2018
  • Boosted Decision Trees with Application to Galaxy Classification
    Supervisor: M. Haltmeier
    Student: Philipp Anrain
    Graduation 2018

2017

  • Sampling Theory for the Circular Radon Transform
    Supervisor: M. Haltmeier
    Student: Iwanow Jawor
    Graduation 2017
  • Signalentrauschung mittels Wavelet Soft-Thresholding
    Supervisor: M. Haltmeier
    Student: Wolfgang Wetscher
    Graduation: 2017
  • Neural networks with application to galaxy classification
    Supervisor: M. Haltmeier
    Sudent: Christoph Angermann
    Graduation 2017
  • The stochastic gradient algorithm
    Supervisor: M. Haltmeier
    Student: Chris Wendler
    Graduation 2017

2016

  • Hard Thresholding Pursuit for Sparse Approximation
    For the project description see [pdf pdf button]
    Supervisor: K. Schnass
    Student: E. Höck
  • Introduction to statistical inverse problems
    For the project description see
    Supervisor: R. Kowar
  • Iterative Reconstruction Techniques in CT
    Supervisor: M. Haltmeier
    Student: Kurt Eller
  • Improving photoacoustic inversion on parabolas
    Supervisors: S. Pereverzyev Jr., M. Haltmeier
    Student: Florian Dreier
  • Inversion of the V-line Radon transform
    Supervisor: M. Haltmeier
    Student: Simon Ruetz
  • Inversion of the Broken-ray Radon Transform
    Supervisor: M. Haltmeier
    Student: Johannes Schwab
  • Dykstra's Cyclic Projection Algorithm
    Supervisor: M. Haltmeier
    Student: Matthias Köchl