• Since 03/2021:
  Research associate at the Pattern Recognition Lab
• Since 04/2018:
  Ph.D. Student at the Pattern Recognition Lab
• 06/2018 – 02/2021:
  Research associate at the Germanisches Nationalmuseum Nürnberg
• 04/2015 – 03/2018:
  M.Sc. in Medical Engineering
  Friedrich-Alexander-Universität Erlangen-Nürnberg
  Master Thesis: “Learning-based Image Super-Resolution for 3-D Magnetic Resonance Imaging”
  2nd Price of ILW-Award 2019 for Master Thesis
• 09/2016 – 02/2017:
  Semester Abroad in Spain
  Universitat Politècnica de Catalunya, Barcelona, Spain
  Research Internship: Visual comparison of registration results of MRI data of the colon
• 04/2015 – 08/2016:
  Working student at Siemens Healthcare/Healthineers, Forchheim
• 12/2014 – 02/2015:
  Internship at Siemens Healthcare, Forchheim
• 10/2011 – 03/2015:
  B.Sc. in Medical Engineering
  Friedrich-Alexander-Universität Erlangen-Nürnberg
  Bachelor Thesis: “Respiratory Motion Compensated C-arm CT Reconstruction for Liver Perfusion Imaging”

2018

• Critical Catalogue of Luther Portraits (1519-1530)

  (Third Party Funds Group – Overall project)

  Term: June 1, 2018 - May 31, 2021
  Funding source: andere Förderorganisation
  URL: https://www.gnm.de/forschung/projekte/luther-bildnisse/
  Abstract

  Quite a number of portraits of Martin Luther - known as media star of 16th century – can be found in today’s museums and libraries. However, how many portraits indeed exist and which of those are contemporary or actually date from a later period? So far unlike his works, however, the variety of contemporary portraits (painting and print) is neither completely collected nor critically analyzed. Thus, a joint project of the FAU, the Germanisches Nationalmuseum (GNM) in Nuremberg and the Technology Arts Sciences (TH Köln) was initiated. Goal of the interdisciplinary project covering art history, art technology, reformation history and computer science is the creation of a critical catalogue of Luther portraits (1519-1530). In particular, the issues of authenticity, dating of artworks and its historical usage context as well as the potential existence of serial production processes will be investigated.

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• Similarity learning for art analysis

  (Third Party Funds Group – Sub project)

  Overall project: Critical Catalogue of Luther Portraits (1519-1530)
  Term: June 1, 2018 - February 28, 2021
  Funding source: andere Förderorganisation
  URL: https://www.gnm.de/forschung/forschungsprojekte/luther-bildnisse/
  Abstract

  The analysis of the similarity of portraits is an important issue for many sciences such as art history or digital humanities, as for instance it might give hints concerning serial production processes, authenticity or temporal and contextual classification of the artworks.
  In the project, first algorithms will be developed for cross-genre and multi-modal registration of portraits to overlay digitized paintings and prints as well as paintings acquired with different imaging systems such as visual light photography and infrared reflectography. Then, methods will be developed to objectively analyze the portraits according to their similarity.
  This project is part of a joint project of the FAU, the Germanisches Nationalmuseum (GNM) in Nuremberg and the Technology Arts Sciences (TH Köln) in Cologne. Goal of the interdisciplinary project covering art history, art technology, reformation history and computer science is the creation of a critical catalogue of Luther portraits (1519-1530).

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