We thank Katharina Seiffarth for her impact on our research and congratulate her on a strong Master’s thesis.
We are saying goodbye to Katharina Seiffarth as a member of the group, and we do so with genuine appreciation for her commitment, openness, and wide-ranging contributions. At the same time, we warmly congratulate her on completing her Master’s thesis titled “Optical Imaging Through Scattering Media: Signal Reconstruction Using Deep Learning Methods.” It is an impressive piece of work that connects modern machine learning with a technically demanding imaging problem.
Optical imaging often struggles when light travels through strongly scattering materials. Fog, turbid fluids, and biological tissue can distort signals and reduce image quality. Katharina’s thesis addresses this challenge with deep learning–based reconstruction methods. In practical terms, the goal is to recover meaningful information from optical measurements even when the medium disrupts the signal. This approach can support more robust imaging pipelines and inspire new directions for data-driven optics.
Within the group, Katharina worked across several topics. She explored AI models in language and image processing, and she approached these tasks with a clear technical mindset. She also analyzed hyperspectral imaging data, where each pixel contains a spectrum rather than a single intensity value. That kind of data can reveal subtle material differences, but it also demands careful preprocessing, validation, and interpretation. Her work helped strengthen our routines for handling complex datasets.
Beyond research, Katharina contributed to academic life through her engagement in student representation. She brought perspectives from the student body into discussions and helped bridge everyday study realities with research-driven teaching.
We thank her for the energy she invested in the team and for the reliability she showed across responsibilities. We wish Katharina all the best for her next steps and continued success in research, industry, or wherever her path leads.
