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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

Profilbild
Dr.-Ing. Michael Muma
Independent Junior Research Group Leader

Current PhD Projects

jmachkour
Jasin Machkour
Robust and Adaptive Statistical Learning for High-Dimensional Data (Supervision)
atastan
Aylin Tastan
Robust Statistical Signal Processing for Human Gait Recognition Using Radar (Co-Supervision)
cschroth
Christian Schroth
Robust Sequential Analysis in Networks (Co-Supervision)
Gruppe 112
Mahmoud El-Hindi
Fast and Robust Speaker Learning in Hearing Aids (Co-Supervision)

Past PhD Projects

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.

Current & Completed Masters & Bachelors

Taulant Koka
A Finite Rate of Innovation Approach for the
Estimation of Permuted Streams of Decaying Exponentials (external thesis at Swiss Data Science Center) 2022
Simon Tien
Development of High-Dimensional Learning Methods for Genome-Wide Association Studies 2022
Yuzhe Ma
Signal Processing Algorithms for Radar-Based Vital-Signs Monitoring 2022
Klara Saari
Subgroup Selection in EEG Sensor Networks for P300 Detection 2022
Jize Liu
Compressed Sensing Methods for Radar Imaging and Vital Sign Monitoring 02/2022
Lisa Dawel
Development and Analysis of Sparse High-Dimensional Ensemble Learning Methods 12/2021
Samet Rasih Köseli
Non-linear Crosstalk Modeling, Identification and Suppression in Hearing Devices between the Receiver and the Voice Pick-Up Unit (external thesis at Sivantos (WSAudiology Group)) 07/2021
Ones Chamli
Algorithms for Radar-Based Vital Parameter Estimation 04/2021
Simon Schwanz
Robust Photoplethysmography-Based Electrocardiogram and Blood Pressure Synthesis 09/2020
Felicia Ruppel
Robust Statistical Learning for High-Dimensional Data With Outliers 07/2020
Simon Tien
Robust Regularized Precision Matrix Estimation 04/2020
Christian Schroth
Robust Bayesian Cluster Analysis 03/2020
Sarosh Manzoor
Detection of Road Defects for Autonomous Driving 03/2020
Mahmoud El-Hindi
Online Speaker Identification With Limited Training Data 10/2019
Jin He
Machine Learning Methods for PPG Based Cardiovascular Parameter Estimation 08/2019
Peter Paulat
Early Detection of Adverse Health Events in Humans with Type I Diabetes (Co-Supervision) 08/2019
Jasin Machkour
Robust and Adaptive Statistical Learning for High-Dimensional Data 05/2019
Martin Gölz
Spatial Inference in Large-Scale Sensor Networks using Multiple Hypothesis Testing and Bayesian Clustering 03/2019
Lisa Dawel
PPG Based Cardiovascular Parameter Estimation: A Nonlinear Sparse Regression Approach 01/2019
Ilaria Failla
Robust Clustering and Cluster Enumeration Methods for Multi-View Imaging 01/2019
Shuo Liu
Emotion Classification from Physiological Signals 01/2017
Bastian Alt
Robust and Adaptive Methods for Linear and Sparse Inverse Problems 12/2016
Burak Celik
Heart Rate Tracking Algorithms for Wriste-Type Photopletysmographic Signals 10/2016
Björn Achenbach
Non-negative Blind Source Separation for Voice Activity Detection 10/2016
Christian Sledtz
Advanced Methods for Heart Rate Extraction from Photoplethysmographic Signals 06/2016
Jack Dagdagan
Localization of Speech Sources and Receiver Nodes in Uncalibrated Acoustic Sensor Networks 06/2016
Burak Celik
Implementation of an Algorithm for Heart Rate Monitoring using Wriste-Type Photopletysmographic Signals 06/2016
Jasin Machkour
Robust and Adaptive Regression for Linear and Sparse Models 04/2016
Jun Liu
Diffusion-Based Cluster Enumeration in a Distributed Sensor Network 05/2016
Fabian Scheidt
Fast Methods for Cooperative Localization in Wireless Sensor Networks 03/2016
Burak Celik
Modelling and Analysis of Photoplethysmographic (PPG) Signals 08/2015
Jasin Machkour
Bootstrap and Robust Regression 08/2015
Hauke Radtki
Demonstrator for Simulating Intracranial Pressure (ICP) Signals 07/2015
Fabian Scheidt
Cooperative Localization Using Sum-Product Algorithms Over Wireless Sensor Networks 01/2015
Patricia Binder
Distributed Robust and Adaptive Signal Classification in Wireless Sensor Networks 01/2015
Daniel Kalus
Distributed Robust and Adaptive Signal Detection in Wireless Sensor Networks 01/2015
Keerati Suibkitwanchai
Programming Work for a Biomedical Signal Processing Lab Experiment (SITT intern, Bangkok) 06/2014
Stefan Vlaski
Robust Bootstrap Methods for Signal Processing 07/2013
Stefan Vlaski
Implementation and Comparison of Robust Bootstrap Methods for Confidence Intervals 07/2013
Jack Dagdagan

Stationarity Testing in Presence of Outliers 06/2013

Stefan Richter
Signal Modeling for Heart Rate Variability and a Comparison of known Features 12/2012
Johannes Weise
A Comparison of Spectral Coherence Estimators for Biomedical Signals 12/2012
Jasin Machkour
Robust and Adaptive Statistical Learning for High-Dimensional Data 05/2019

Tim Schäck 

Robust Model Based Detection of Eyelids in Videokeratoscopic Images 01/2012
Falco Strasser
Motion Artifact Removal in ECG Signals 12/2011
Thanh Minh Vu
Robust Estimation for Dependent Data 11/2011
Andrea Schnall
Robust Model Order Selection for Corneal Topography 10/2011
Nevine Demitri
Binaural Feedback Cancellation 04/2011
Falco Strasser
Robust Filtering of Autoregressive Processes 10/2010
Ivan Derwin

Detection of Deterministic Signals in Impulsive Noise 09/2010