This image shows Bernadette  Hahn-Rigaud

Bernadette Hahn-Rigaud

Prof. Dr.

Chairholder OIP
Dept. of Mathematics, IMNG
Optimization and Inverse Problems

Contact

Pfaffenwaldring 57
70569 Stuttgart
Deutschland
Room: 8.164

Office Hours

on appointment

Subject

Dynamic inverse problems

Inverse problems arise whenever a searched-for quantity cannot be directly observed but has to be extracted indirectly from measured data. Classic examples constitute imaging modalities such as computerized tomography which provide information about the interior of a patient or an object in a non-invasive way.
The classic regularisation theory is based on the assumption that the searched-for quantity is stationary during the acquisition. However, in many applications from medicine to non-destructive testing, this assumption is not satisfied. Therefore, we work on the development and (numerical) analysis of time-dependent regularization methods which incorporate the dynamics of the object.

Imaging and tomography

Developing new methods in imaging and new fields of applications necessitates novel approaches in mathematical modelling, data processing and image reconstruction. A special focus of our group lies in this respect on computerized tomography and magnetic resonance imaging.  

Data analysis and image processing

In order to extract features and properties of the studied medium, the reconstruction results are typically subject to further processing steps. Since an ever-increasing amount of data arises in modern applications, special algorithms are required to extract the desired infomation in an efficient and stable way.

Current semester

Current courses can be found on the Teaching Page or directly in Campus.

Previous semesters

Winter term 2024/25
  • Regularisierung Inverser Probleme
  • Hauptseminar Tomographie
Summer term 2024
  •  research semester
Winter term 2023/24
  • Höhere Mathematik 3 für el, kyb, mecha, phys
Summer term 2023
  • Masterseminar: Dynamic inverse problems
  • Fortgeschrittene Analysis für SimTech 2
Winter term 2022/23
  • Mathematical Image Processing
Summer term 2022
  • Introduction to Inverse Problems
Winter term 2021/22
  • Introduction to Optimization
Summer term 2021
  • Mathematical Image Processing
  • Seminar zu Optimierung und inversen Problemen
Winter term 2020/21
  • Introduction to Optimization
  • Seminar: Medizinische Bildgebung
Summer term 2020
  • Regularization of Inverse problems:
    theorie and application
  • Seminar: Sparsity und Compressed Sensing
since 
04 / 2020  

Professor at University of Stuttgart

10 / 2018 Positive Evaluation of the Junior Professorship
04 / 2016 - 03 / 2020 Junior Professor at University of Würzburg
01 / 2015 - 03 / 2016 Research and teaching assistant at the Institute of Applied Mathematics, Saarland University
09 / 2014 - 12 / 2014 Visiting Scholar and Lecturer at Tufts University, Medford, MA, USA
01 / 2011 - 08 / 2014 Research and teaching assistant at the Institute of Applied Mathematics, Saarland University
09 / 2009 - 12 / 2010 Graduate assistant within the DFG project "Combining Image Reconstruction and Image Evaluation", Saarland University
04 / 2008 - 10 / 2009 Student assistant at the Department of Mathematics, Saarland University

Member of the Editorial Board

  • Inverse Problems
  • Sensing and Imaging

Organisation 

  • 05/2024: Workshop Inverse Problems - theories, methods and implementations as part of the Sino-German Mobility programme (CDZ), Stuttgart
  • 04/2023: Oberwolfach Workshop Tomographic Inverse Problems: Mathematical Challenges and Novel Applications, with Prof. Arridge, Prof. Burger and Prof. Quinto
  • 03/2022: Minisymposium Time-dependent parameter identification in imaging, at the "SIAM Conference on Imaging Science 2022", with PD. Dr. Kluth and Prof. Wald
  • 07/2020: Minisymposium Time-dependent inverse problems in imaging at the "SIAM Conference on Imaging Science, virtual series", with Dr. Kluth and Dr. Wald
  • 10/2019: Member of the Scientific Programme Committee for "Machine Learning in Medical Image Reconstruction Workshop“ at MICCAI 2019, Shenzhen
  • 09/2019: Member of the Scientific Committee for the "Chemnitz Symposium on Inverse Problems", Frankfurt
  • 08/2019: Conference Modern Challenges in Imaging - In the Footsteps of Allan Cormack, Tufts University, US, with Prof. Quinto, Prof. Gonzalez, Prof. Kilmer, Prof. Miller and Dr. Rigaud
  • 01/2019: Oberwolfach Workshop Tomographic inverse problems: Theory and applications, with Prof. Burger and Prof. Quinto
  • 06/2018: Minisymposium Limited data problems in imaging at the "SIAM Conference on Imaging Science", Bologna, Italien, with Prof. Frikel and Dr. Rigaud
  • 06/2017: Member of the Programme Committee for the "International Conference on Sensing and Imaging“, Chengdu, China
  • 03/2017: Minisymposium Radon-type transforms: Basis for emerging imaging im Rahmen der Konferenz "100 years of the Radon transform“, Linz, mit Dr. Rigaud
  • 07/2016: Member of the Technical Committee for the "International Conference on Sensing and Imaging“, Taiyuan, China
  • 05/2016: Minisymposium Tomographic Inverse Problems and Applications at the Conference "Inverse Problems: Modeling and Simulation“, Fethiye, Turkey with Prof. Quinto, Tufts University
  • 08/2014: Minisymposium Tomography at the Conference "Inverse Problems - from Theory to Application“, Bristol, UK with Prof. Jiang, Peking University
  • Lecture award of the student council mathematics in the category Bachelor additional modules for lecture  "Optimization" (winter term 2021)
  • Lecture award of the student council mathematics for digital teaching (summer term 2020)
  • EAIP Young Scientist Award for distinguished contributions to inverse problems (2018)
  • Highlights of IOP Inverse Problems (2012, 2014, 2015, 2016, 2017)
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