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.
Robust Distributed Multi-Source Detection and Labelling in Wireless Acoustic Sensor Networks (Co-Supervision), 2018.
Stationarity Testing in Presence of Outliers 06/2013
Detection of Deterministic Signals in Impulsive Noise 09/2010