The analysis of complex and large data sets requires the development of specific and adapted methods to exploit their value and ensure their security. The department currently focuses on three main topics: Machine Learning, Causal Inference and Secure Software Engineering.
The Machine Learning group is concerned with the development of novel machine learning methods with a particular focus on deep learning. These methods are detached from concrete applications, but are oriented towards the needs of the DLR. ...[more]
Secure Software Engineering
The increasing global demand for automation leads to ever larger code bases and new applications of artificial intelligence (AI). More and more frequently, domain-specific skills have to be supplemented with software engineering and data analysis....[more]
The Causal Inference group develops theoretical foundations, algorithms, and accessible software tools for causal inference and machine learning and closely works with domain experts within DLR as well as national and international partners. ...[more]