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Research Group

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.

Principal Investigator

MMuma_RDS
Dr.-Ing. Michael Muma

Research Group Leader

Current PhD Projects

TKoka_RDS
Taulant Koka

Scalable Learning in High-Dimensional Biomedical Signal Processing (Supervision)

FScheidt_RDS

Fabian Scheidt

Robust and High-Dimensional Learning with Biomedical Applications (Joint Supervision)

Past PhD Projects

jmachkour
Jasin Machkour
Development of Fast Machine Learning Algorithms for False Discovery Rate Control in Large-Scale High-Dimensional Data
(Supervision), 2024.
atastan

Dr.-Ing. Aylin Tastan

Contributions to Robust Graph Clustering: Spectral Analysis and Algorithms (Co-Supervision), 2023.
ssukhanov
Dr.-Ing. Sergey Sukhanov
Ensemble Methods in Classification and Clustering (Co-Supervision), 2021.
fteklehaymanot
Dr.-Ing. Freweyni Teklehaymanot
Robust and Distributed Cluster Enumeration and Labelling (Supervision), 2019.
tschaeck
Dr.-Ing. Tim Schäck
Photoplethysmography-Based Biomedical Signal Processing (Co-Supervision), 2018.
Gruppe 113
Dr. Marlene Dejá
Response Synchrony and Response Patterning of Psychophysiological Parameters in Emotion (Co-Supervision), 2018.
lkhamaidi
Dr. – Ing. Lala Khadidja Hamaidi

Robust Distributed Multi-Source Detection and Labelling in Wireless Acoustic Sensor Networks (Co-Supervision), 2018.