I am an applied mathematician and assistant professor for computational and mathematical methods for imaging at the University of Hamburg. Therefore, I am member of Center of Optimization and Approximation and associated with the Institute for Biomedical Imaging at the University hospital Hamburg Eppendorf (UKE).
My actual research covers large-scale inverse problems in biological and medical applications such as for example fluorescence microscopy, photo acoustic tomography and magnetic particle imaging. More precisely, I am working on variational regularization methods, dynamic inverse problems, Bayesian inversion, and approximation error modelling.
I am looking for a PhD candidate within the graduate school (project S3). The PhD topic will belong to the field of inverse problems, modelling and approximation with application to magnetic particle imaging. For more details, see the job call
Sparse Image Reconstruction for Photoacoustic Tomography Using Shearlets
Workshop "Wavelets and Applications"
22.5.2014, Université Libre de Bruxelles, Belgium
Invited by Christine de Mol
Magnetic Particle Imaging (MPI) is a novel imaging modality for biomedical diagnostics that determines the spatial distribution of magnetic nanoparticles by measuring the non-linear magnetization response of the particles to an applied magnetic field. The advantages of MPI are the high dynamic spatial and temporal resolution and that it does not employ any ionizing radiation.
Flow estimation with a priori edge information for MPI/MRI data , joint work with Ikram Jumakulyyev and Tobias Kluth
Joint reconstruction in multi-color MPI, joint work with Martin Storath, Martin Hofmann and Tobias Knopp
Approximation error modelling for model-based MPI, joint work with Aku Seppänen
Time based regularization for 4D MPI, joint work Andreas Hauptmann
Related Publications:Brandt, C.; Seppänen, A. : Recovery from errors due to domain truncation in magnetic particle imaging -- approximation error modeling approach. Journal of Mathematical Imaging and Vision, 2018.
Prof. Martin StorathHochschule Würzburg-Schweinfurt
Prof. Tobias Knopp, Dr. Martin HofmannUniversitätsklinikum Hamburg-Eppendorf
Institut für Biomedizinische Bildgebung
Technische Universität Hamburg
Dr. Wolfgang ErbUniversità degli Studi di Padova
Prof.P. Maass, Dr. Tobias KluthCenter for Industrial Mathematics
Dr. Andreas HauptmannUniversity College London
Dr. Aku SeppänenUniversity of Eastern Finland
Prof. Nina RohringerDeutsches Elektron-Synchroton
Prof. Simone TechertDeutsches Elektron-Synchroton
I will give a course on inverse problems together with Prof. Trabs during summer term 2020. The course will cover the classical theory of inverse problems as well as a statistical perspective.
This course for Bahelor students will give an introduction to optimization. We will discuss standard algorithms for unconstrained and constrained minimization problems.
Seminar on mathematical imaging University of Hamburg (winter 2019)
Master course on Convex optimization The course covers classical theory of convex optimization and splitting methods for structured minimization problems. University of Hamburg (summer 2019)
Lothar Collatz Seminar (together with Stefan Heitmann), University of Hamburg (Summer 2019)
Master course on inverse problems. We will treat the classical theory of linear inverse problems. University of Hamburg (Winter 2018/19)
Master course on computer tomography. This is the first part of the inverse problems course. University of Hamburg (Winter 2018/19)
Bachelor course on optimization, University of Hamburg (Summer 2018)
Lothar Collatz Seminar (together with Stefan Heitmann), University of Hamburg (Summer 2018)
Course on computer tomography
and short introduction to inverse problems, University of Hamburg (Winter 2017/18)
Course on convex optimization
in infinite dimesions, University of Hamburg (Summer 2017)
Exercises on inverse problems, University of Eastern Finland (Winter 2016/17)
course together with Prof. Kunis, University of Osnabrück (Summer 2014)
2 tutorials, University of Bremen (winter 2012/13)
2 tutorials, University of Bremen ( summer 2012 )
Since 03 2017
Research group: Mathematical and computational methods in medical imaging
09/2015 - 02 2017
Academy post-doctoral researcher in the Inverse Problems group at the Eastern University of Finland in Kuopio.
04/2013 - 08/2015
Post-doctoral researcher in the research group "Applied and Numerical Analysis" at the University Osnabrück working within the
01/2008 - 04/2013
Research assistant in the at the WG Industrial Mathematics at the Center for Industrial Mathematics at the University Bremen, working within the
2008 - 2012
Doctoral studies in the research group "Industrial mathematics" at the University Bremen
2012: Doctorate degree in mathematics, University Bremen
10/2001 - 08/2007
Diploma studies in mathematics , University Rostock
Diploma degree in mathematics, University Rostock
10/2002 - 08/2007
10/2006 - 07/2006
Diploma studies in physics, University Rostock
Master studies in physics, Erasmus exchange program, University Nantes
Master degree in physics, University Nantes (France)