DAAD Exchange Visit Strengthens Collaboration Between Göttingen and Budapest

As part of our DAAD-supported collaboration, our Biosignal Processing group at UMG was pleased to welcome four students from Eötvös Loránd University, Budapest, for their second visit to Göttingen. The visit continued our ongoing cooperation with Peter Kovacs and his group. The collaboration brings together complementary perspectives: while the Budapest team contributes a strong focus on mathematics, numerical methods, and signal processing, our group adds expertise in biosignal processing and clinical applications. Together, we are working on methods for denoising biomedical signals. The project uses concepts from sparse dictionary learning and neural networks for ECG signal denoising and aims to further develop these approaches for signals relevant to myocardial infarction. In this context, reliable signal interpretation and timely decision-making are particularly important, as early intervention is crucial for preserving myocardium and improving patient outcomes. This second visit was especially student-focused and gave the students the opportunity to discuss ideas directly, work on methodological questions, and experience international scientific collaboration first-hand. We believe that personal visits are an important part of successful cooperation, because they make scientific exchange more direct, productive, and enjoyable. We were very pleased to host the students again in Göttingen, thank them for the open and inspiring exchange, and look forward to continuing our collaboration with Peter Kovacs and his group.