Prof. Dr. Christina Brandt

Research Areas

• Inverse problems
• Industrial Mathematics
• Tikhonov-Phillips regularization
• Identification of Parameters

Projects

1. DFG-SPP 1180: Mathematische Verfahren zur Präzisionswuchtung an Werkzeugmaschinen (01.01.2008 - 31.12.2011)
2. Micro Cold Forming (01.01.2007 - 31.12.2018)

Courses (Selection)complete list

1. Approximationstheorie (Sommersemester 2013)

Theses (Selection)complete list

1. Regeneratives Rattern bei Mikrozerspanprozessen (Philipp Welz)

Publications (Selection)complete list

1. C. Brandt, T. Kluth, T. Knopp, L. Westen.
   Dynamic image reconstruction with motion priors in application to 3d magnetic particle imaging.
   Zur Veröffentlichung eingereicht.

   online at: https://arxiv.org/abs/2306.11625

2. T. Kluth, B. Hahn, C. Brandt.
   Spatio-temporal concentration reconstruction using motion priors in magnetic particle imaging.
   International Workshop on Magnetic Particle Imaging 2019.
   International Workshop on Magnetic Particle Imaging (IWMPI) Book of Abstracts 2019, pp. 23-24, Infinite Science Publishing, 2019.
3. C. Bathke, T. Kluth, C. Brandt, P. Maaß.
   Improved image reconstruction in magnetic particle imaging using structural a priori information.
   International Journal on Magnetic Particle Imaging, Article ID 1703015, 3(1), 10 pages, 2017.

   DOI: 10.18416/ijmpi.2017.1703015

4. C. Bathke, T. Kluth, C. Brandt, P. Maaß.
   Improved image reconstruction in magnetic particle imaging using structural a priori information.
   International Workshop on Magnetic Particle Imaging 2017.
   International Workshop on Magnetic Particle Imaging (IWMPI) Book of Abstracts 2017, pp. 85, Infinite Science Publishing, 2017.
5. M. Andres, H. Blum, C. Brandt, C. Carstensen, P. Maaß, J. Niebsch, A. Rademacher, R. Ramlau, A. Schröder, E. Stephan, S. Wiedemann.
   Adaptive finite Elements and Mathematical Optimization Methods.
   Process Machine Interactions, B. Denkena, F. Hollmann (Eds.), Lecture Notes in Production Engineering, pp. 53-77, Springer Verlag, 2013.

   DOI: 10.1007/978-3-642-32448-2