DAAD Brasilien

The project will introduce novel concepts of advanced data analysis for the three main purposes of (1) data classification, (2) regime change detection, and (3) coupling analysis which will have large potential and benefit in many different, data-driven disciplines. The methodical and theoretical work in combination with the innovative integration of machine learning techniques will contribute significantly to the field of recurrence plot research and it can be expected that the research results will attract high attention in this community. Both partners will strongly benefit from the expertise of the other side by widening their own methodical capacities. Moreover, these methods have potential in industrial exploitation, e.g., for materials testing or live monitoring of technical processes. The project work will result in publications in esteemed scientific journals. By the intended training the junior scientists will get skills how to apply modern data analysis methods for challenging research data. Moreover, the interdisciplinary team and applications ensure that the junior scientists will get familiar with other disciplines. Finally, the project will be used to establish a longer and deeper collaboration between the project partners, e.g., by preparing a joint application for a research grant.