- Reserach Profile
- Curriculum Vitae
Incremental and distributed learning methods for unreliable data (e.g., sensor data), in particular, are a key research topic in order to use scalable and efficient learning techniques in distributed systems that allow local perception and global closure through cooperation.
Research into efficient and adaptive data reduction through feature selection and extraction for use with large amounts of data
Machine learning in Embedded systems (such as for damage testing of technical structures and crowd sensing with mobile devices).