Bernadette Hahn-Rigaud

Bernadette Hahn-Rigaud is a Professor in the Department of Mathematics at the University of Stuttgart, leading the Optimization and Inverse Problems (OIP) group. Her expertise lies in dynamic inverse problems, imaging techniques, and data analysis with applications in medical and non-destructive testing. She holds a Ph.D. and has held academic positions at institutions like the University of Würzburg and Saarland University.

Her research focuses on advancing imaging methodologies through regularization techniques, motion compensation in tomography, and dynamic reconstruction algorithms. Notable contributions include work on magnetic particle imaging (MPI), computed tomography (CT), and MRI motion correction using deep learning.

Publications highlight advancements in inverse problem theory, regularization strategies for dynamic systems, and interdisciplinary applications. Awards include the EAIP Young Scientist Award (2018) and multiple recognitions in Inverse Problems. She actively contributes to academic leadership through editorial roles and organizing international workshops on tomography and imaging challenges.