Dr.-Ing. Michael Muma
Member of the Signal Processing Group at the Institute of Telecommunications, TU Darmstadt.
Office: S3|06 264
work +49 6151 16-21346
fax +49 6151 16-21342
Office Hours: Tuesday, 14-17h
Since 2014, Michael Muma works as a Postdoctoral Research Fellow and Athene Young Investigator for the Signal Processing Group at TU Darmstadt.
The topic of Michael's research is in the area of robust statistical signal processing with an emphasis on distributed signal processing, correlated and multi-sensor data.
In May 2019, Michael has been appointed Associate Editor for the IEEE Transactions on Signal Processing.
Michael Muma is Guest Editor of the 2019 Elsevier Signal Processing Special Issue on Statistical Signal Processing Solutions and Advances for Data Science: Complex, Dynamic and Large-scale Settings.
In December 2018, Dr.-Ing. Muma was appointed lecturer for the lecture Robust Signal Processing With Biomedical Applications and the project seminar Robust and Biomedical Signal Processing.
In October 2018, the book Robust Statistics for Signal Processing by Abdelhak M. Zoubir, Visa Koivunen, Esa Ollila and Michael Muma was published with Cambridge University Press.
Abdelhak M. Zoubir, Visa Koivunen, Yacine Chakhchoukh and Michael Muma received the 2017 IEEE Signal Processing Magazine Best Paper Award for the article Robust Estimation in Signal Processing: A tutorial-style treatment of fundamental concepts.
From October 2017 on Dr.-Ing. Muma is appointed as Athene Young Investigator of Technische Universität Darmstadt. Dr.-Ing. Muma's proposed research project is entitled “Robust Statistics for Advanced Signal Processing”. The Athene Young Investigator Fellowship also provides Dr.-Ing. Muma with the right to supervise PhD students. The Athene Young Investigator program encourages the independence of outstanding established researchers at Technische Universität Darmstadt who pursue an academic career as a professor.
In 2016 he co-organized the Joint IEEE SPS and EURASIP Summer School on Robust Signal Processing Rüdesheim (Rhine), Germany. Material and further information can be found here:
He was project leader of the workpackage “Robust Distributed Multi-Source Detection and Labelling” of the EU Future and Emerging Technologies (FET) project HANDiCAMS (Heteregenous Ad-Hoc Networks for Distributed, Cooperative, and Adaptive Multimedia Signal Processing). The objective of the research is to develp robust decentral signal processing algorithms for wireless sensor networks. Further information on the project can be found at: www.handicams-fet.eu
Michael was the supervisor of the Technische Universität Darmstadt student team who achieved first place in the international IEEE Signal Processing Cup 2015. The IEEE Signal Processing Cup is a prestigious competition in which more than 50 teams from around the world compete in a challenging and interesting signal processing task. This year's competition topic was “Heart Rate Monitoring During Physical Exercise Using Wrist-Type Photoplethysmographic (PPG) Signals”.
Michael was a Research Associate in the Signal Processing Group from 2009 to 2014. The focus of his doctoral work was on robust statistical methods for signal processing with applications in biomedical and array signal processing. In 2014, he successfully defended his PhD with summa cum laude on “Robust Estimation and Model Order Selection for Signal Processing” (Download PhD thesis here).
His diploma project was to develop a time-frequency dependent coherence analysis to examine the role of the cardiopulmonary system (pulse and respiration) in the dynamics of eye's aberrations. This research was done at the School of Optometry in Brisbane, Australia.
Michaels student thesis was about parameter estimation for the detection of eyelids in videokeratoscopic images.
Current student theses
Jasin Machkour Robust and Adaptive Statistical Learning for High-Dimensional Data
Mahmoud El-Hindi Online Speaker Identification With Limited Training Data
Jin He Machine Learning Methods for PPG Based Cardiovascular Parameter Estimation
Peter Paulat Early Detection of Adverse Health Events in Humans with Type I Diabetes (Co-Supervision)
Completed Student Theses
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
Jack Dagdagan Localization of Speech Sources and Receiver Nodes in Uncalibrated Acoustic Sensor Networks 06/2016
Christian Sledtz Advanced Methods for Heart Rate Extraction from Photoplethysmographic Signals 06/2016
Burak Celik Implementation of an Algorithm for Heart Rate Monitoring using Wriste-Type Photopletysmographic Signals 06/2016
Jun Liu Diffusion-Based Cluster Enumeration in a Distributed Sensor Network 05/2016
Jasin Machkour Robust and Adaptive Regression for Linear and Sparse Models 04/2016
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
Johannes Weise Feature Extraction for Emotion Quantification for Psychophysiological Signals 06/2013
Stefan Richter Emotion Classification Based on Psychophysiological Features 06/2013
Tim Schäck Parameter Estimation for Psychophysiological Signals in Presence of Artifacts 03/2013
Jack Dagdagan Musical Instrument Identification Approaches 01/2013
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
Bin Han Non-stationary Medical Signal Forecasting: Signal Decomposition and Robust Statistics 04/2012
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
Teaching assistant for
- Adaptive Filters (SS 2011)
- Speech and Audio Signal Processing(WS 2011/2012)
- Stochastic Signals and Systems (SS 2009, SS 2010, SS 2011)
- Digital Signal Processing Lab (WS 2009/2010, SS 2010, WS 2010/2011)
- Signal Detection and Parameter Estimation(SS 2013, WS 2018/2019)
- Advanced Topics in Statistical Signal Processing (SS 2014, SS 2018)