Michael Muma

Dr.-Ing. Michael Muma

Member of the Signal Processing Group at the Institute of Telecommunications, TU Darmstadt.

Merckstraße 25
64283 Darmstadt

Office: S3|06 227

+49 6151 16-21346
+49 6151 16-21342


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Office Hours: Tuesday, 14-17h

Since 2014, Michael Muma works as a Postdoctoral Research Fellow in the Signal Processing Group at TU Darmstadt.

Research

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.

This year, he co-organized a special session entitled “Cooperative and Distributed Algorithms for Signal Processing and Self-Organization over Wireless Ad-Hoc/Sensor Networks at the European Signal Processing Conference EUSIPCO 2017.

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:
www.rosip2016.org

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

Completed Student Theses

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

Publications

Group by: Date | Item type | No grouping
Jump to: 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009
Number of items: 36.

2017

Bahari, M. H. ; Hamaidi, L. K. ; Muma, M. ; Plata-Chaves, J ; Moonen, M. ; Zoubir, A. M. ; Bertrand, A. :
Distributed Multi-Speaker Voice Activity Detection for Wireless Acoustic Sensor Networks.
In: IEEE Transactions on Audio, Speech and Language Processing (submitted)
[Article], (2017) (Eingereicht)

Machkour, J. ; Alt, B. ; Muma, M. ; Zoubir, A. M. :
The Outlier-Corrected-Data-Adaptive Lasso: A New Robust Estimator for the Independent Contamination Model.
European Signal Processing Conference 2017 (EUSIPCO 2017) (under review)
[Conference or workshop item], (2017) (Eingereicht)

Teklehaymanot, F. ; Muma, M. ; Zoubir, A. M. :
Adaptive Diffusion-Based Track Assisted Multi-Object Labeling in Distributed Camera Networks.
European Signal Processing Conference 2017 (EUSIPCO 2017) (under review)
[Conference or workshop item], (2017)

Hamaidi, L. K. ; Muma, M. ; Zoubir, A. M. :
Robust Distributed Multi-Speaker Voice Activity Detection Using Stability Selection for Sparse Non-Negative Feature Extraction.
European Signal Processing Conference 2017 (EUSIPCO 2017) (under review)
[Conference or workshop item], (2017) (Eingereicht)

Hamaidi, L. K. ; Muma, M. ; Zoubir, A. M. :
Multi-Speaker Voice Activity Detection by An Improved Multiplicative Non-Negative Independent Component Analysis With Sparseness Constraints.
In: Proc. 42nd IEEE Int. Conf. Acoust., Speech and Signal Process. (ICASSP) (accepted), New Orleans, USA. New Orleans, USA
[Conference or workshop item], (2017)

Al-Sayed, S. ; Plata-Chaves, J ; Muma, M. ; Moonen, M. ; Zoubir, A. M. :
Node-Specific Diffusion LMS-Based Distributed Detection Over Adaptive Networks.
In: IEEE Transactions on Signal Processing (submitted) ISSN 1053-587X
[Article], (2017)

Schäck, T. ; Safi Harb, Y. ; Muma, M. ; de Jong, J. S. S. G. ; Zoubir, A. M. :
Computationally Efficient Algorithm for Photoplethysmography-Based Atrial Fibrillation Detection Using Smartphones.
Proc. 39th IEEE Int. Conf. Eng. Med. Biol. Sec. (EMBC17)
[Conference or workshop item], (2017)

Schäck, T. ; Muma, M. ; Zoubir, A. M. :
Signal Processing Projects at Technische Universität Darmstadt: How to engage undergraduate students in signal processing practice.
[Online-Edition: https://doi.org/10.1109/MSP.2016.2619218]
In: IEEE Signal Processing Magazine, 34 (1) pp. 16-30. ISSN 1053-5888
[Article], (2017)

Schäck, T. ; Muma, M. ; Feng, M. ; Guan, C. ; Zoubir, A. M. :
Robust Nonlinear Causality Analysis of Non-Stationary Multivariate Physiological Time Series.
In: IEEE Transactions on Biomedical Engineering, PP (99) p. 1. ISSN 0018-9294
[Article], (2017)

Schäck, T. ; Muma, M. ; Zoubir, A. M. :
Computationally efficient heart rate estimation during physical exercise using photoplethysmographic signals.
European Signal Processing Conference 2017 (EUSIPCO 2017)
[Conference or workshop item], (2017)

2016

Muma, M. ; Zoubir, A. M. :
Bounded Influence Propagation τ-Estimation: A New Robust Method for ARMA Models.
[Online-Edition: http://arxiv.org/abs/1607.01192]
In: IEEE Transactions on Signal Processing (accepted) ISSN 1053-587X
[Article], (2016)

Teklehaymanot, F. ; Muma, M. ; Liu, J. ; Zoubir, A. M. :
In-network Adaptive Cluster Enumeration for Distributed Classification/labeling.
European Signal Process. Conf. (EUSIPCO)
[Conference or workshop item], (2016)

Scheidt, F. ; Jin, D. ; Muma, M. ; Zoubir, A. M. :
Fast and Accurate Cooperative Localization in Wireless Sensor Networks.
European Signal Process. Conf. (EUSIPCO)
[Conference or workshop item], (2016)

Martinez-Camara, M. ; Muma, M. ; Béjar-Haro, B. ; Zoubir, A. M. ; Vetterli, M. :
The regularized tau estimator: A robust and efficient solution to ill-posed linear inverse problems.
In: IEEE Transactions on Signal Processing (submitted) ISSN 1053-587X
[Article], (2016)

Binder, P. ; Muma, M. ; Zoubir, A. M. :
Robust and Adaptive Diffusion-based Classification in Distributed Networks.
[Online-Edition: http://link.springer.com/article/10.1186/s13634-016-0331-5]
In: EURASIP Journal on Advances in Signal Processing: Advances in adaptive filtering theory and applications to acoustic and speech signal processing, 2016 (1) pp. 1-13.
[Article], (2016)

Deja, M. ; Muma, M. ; Hoppe, D. ; Kelava, A. :
Synchrony of Psychophysiological Parameters in Disgust (submitted).
In: Synchrony of Psychophysiological Parameters in Disgust
[Article], (2016)

Schäck, T. ; Muma, M. ; Alkhaldi, W. ; Zoubir, A. M. :
A procedure to locate the eyelid position in noisy videokeratoscopic images.
[Online-Edition: http://dx.doi.org/10.1186/s13634-016-0433-0]
In: EURASIP Journal on Advances in Signal Processing: Nonlinear signal and image processing - a special issue in honour of Giovanni L. Sicuranza on his seventy-fifth birtday, 2016 (1) p. 136. ISSN 1687-6180
[Article], (2016)

2015

Martinez-Camara, M. ; Muma, M. ; Zoubir, A. M. ; Vetterli, M. :
A New Robust and Efficient Estimator for Ill-Conditioned Linear Inverse Problems.
[Online-Edition: http://infoscience.epfl.ch/record/203430/files/martinez-cama...]
Proc. 40th IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP)
[Conference or workshop item], (2015)

Binder, P. ; Muma, M. ; Zoubir, A. M. :
Robust and Computationally Efficient Diffusion-Based Classification in Distributed Networks.
In Proc. 40th IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP) Brisbane, Australia
[Conference or workshop item], (2015)

Chouvardas, S. ; Muma, M. ; Hamaidi, L. K. ; Theodoridis, S. ; Zoubir, A. M. :
Distributed Robust Labeling of Audio Sources in Heterogeneous Wireless Sensor Networks.
In: Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference. In Proc. 40th IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP)
[Conference or workshop item], (2015)

Kalus, D. ; Muma, M. ; Zoubir, A. M. :
Distributed Robust Change Point Detection for Autoregressive Processes with an Application to Voice Activity Detection.
In Proc. 40th IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP)
[Conference or workshop item], (2015)

Schäck, T. ; Sledz, C. ; Muma, M. ; Zoubir, A. M. :
A new method for heart rate monitoring during physical exercise using photoplethysmographic signals.
[Online-Edition: http://dx.doi.org/10.1109/EUSIPCO.2015.7362868]
In: European Signal Processing Conference 2015 (EUSIPCO 2015). Nice, France
[Conference or workshop item], (2015)

Teklehaymanot, F. ; Muma, M. ; Béjar-Haro, B. ; Binder, P. ; Zoubir, A. M. ; Vetterli, M. :
Robust Diffusion-Based Unsupervised Object Labelling in Distributed Camera Networks.
In Proc. 12th IEEE AFRICON
[Conference or workshop item], (2015)

Kelava, Augustin ; Muma, M. ; Deja, M. ; Dagdagan, J. Y. ; Zoubir, A. M. :
A new approach for the quantification of synchrony of multivariate non-stationary psychophysiological variables during emotion eliciting stimuli.
In: Frontiers in Psychology, 5 ISSN 1664-1078
[Article], (2015)

2014

Muma, M. :
Robust model order selection for ARMA models based on the bounded innovation propagation τ-estimator.
In: In Proc. IEEE Workshop on Statistical Signal Processing (SSP). Gold Coast, Australia
[Conference or workshop item], (2014)

Vlaski, S. ; Muma, M. ; Zoubir, A. M. :
Robust Bootstrap Methods with an Application to Geolocation in Harsh LOS/NLOS environments.
In: Proc. 39th IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP). Florence, Italy
[Conference or workshop item], (2014)

Dagdagan, J. Y. ; Muma, M. ; Zoubir, A. M. :
Robust testing for stationarity in the presence of outliers.
In: 2014 {IEEE} {International} {Conference} on {Acoustics}, {Speech} and {Signal} {Processing} ({ICASSP}) .
[Conference or workshop item], (2014)

Muma, M. :
Robust Estimation and Model Order Selection for Signal Processing.
[Online-Edition: http://tuprints.ulb.tu-darmstadt.de/3867]
Universitäts- und Landesbibliothek Darmstadt , Darmstadt
[PhD thesis], (2014)

2013

Han, B. ; Muma, M. ; Feng, M. ; Zoubir, A. M. :
An Online Approach for ICP Forecasting Based on Signal Decomposition and Robust Statistics.
In: Proc. 38th IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP). Vancouver, Canada
[Conference or workshop item], (2013)

Sharif, W. ; Muma, M. ; Zoubir, A. M. :
Robustness Analysis of Spatial Time-Frequency Distributions Based on the Influence Function.
In: IEEE Trans. on Signal Processing, 61 (8) pp. 1958-1971.
[Article], (2013)

2012

Strasser, Falco ; Muma, M. ; Zoubir, A. M. :
Motion Artefact Removal in ECG Signals Using Multi-Resolution Thresholding.
In: Proc. 20th European Signal Processing Conf. (EUSIPCO). Bucharest, Romania
[Conference or workshop item], (2012)

Muma, M. ; Cheng, Y. ; Roemer, F. ; Haardt, M. ; Zoubir, A. M. :
Robust source number enumeration for R-dimensional arrays in case of brief sensor failures.
In: Proc. 37th IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP). Kyoto, Japan
[Conference or workshop item], (2012)

Zoubir, A. M. ; Koivunen, V. ; Chakhchoukh, Y. ; Muma, M. :
Robust Estimation in Signal Processing.
In: IEEE Signal Processing Mag., 29 (4) pp. 61-80.
[Article], (2012)

2011

Muma, M. ; Zoubir, A. M. :
Robust Model Selection for Corneal Height Data Based on Tau Estimation.
In: Proc. 36th IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP). Prague, Czech Republic
[Conference or workshop item], (2011)

2010

Muma, M. ; Iskander, D. R. ; Collins, M. J. :
The Role of Cardiopulmonary Signals in the Dynamics of the Eye's Wavefront Aberrations.
In: IEEE Trans. on Biomedical Engineering, 57 (2) pp. 373-383.
[Article], (2010)

2009

Muma, M. ; Hammes, U. ; Zoubir, A. M. :
Robust Semiparametric Amplitude Estimation of Sinusoidal Signals:The Multi-Sensor Case.
In: Proc. 3rd IEEE Int. Workshop on Computational Advancesin Multi-Sensor Adaptive Processing (CAMSAP). Aruba, Dutch Antilles
[Conference or workshop item], (2009)

This list was generated on Fri Aug 18 08:56:18 2017 CEST.