The Robust Data Science Group, headed by Michael Muma, performs research on robust information extraction and signal processing in complex data sets. New robust theory and methods are developed and applied to advanced use-cases in biomedicine and engineering.
Research Group Leader
Scalable Learning in High-Dimensional Biomedical Signal Processing (Supervision)
Dr.-Ing. Aylin Tastan
Robust Distributed Multi-Source Detection and Labelling in Wireless Acoustic Sensor Networks (Co-Supervision), 2018.