Michael Muma

Dr.-Ing. Michael Muma

Michael Muma

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

Merckstraße 25
64283 Darmstadt

Office: S3|06 264

+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 and Athene Young Investigator for 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.

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:
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

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

Teaching assistant for

Software

Publications

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Group by: Publikationsjahr | Item type | No grouping
Jump to: 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009
Number of items: 53.

2019

Gölz, M. ; Muma, M. ; Halme, T. ; Zoubir, A. M. ; Koivunen, V. (2019):
Spatial Inference in Sensor Networks using Multiple Hypothesis Testing and Bayesian Clustering.
A Coruña, Spain, In: 27th European Signal Processing Conference (EUSIPCO), A Coruña, Spai, September 2 to 6, 2019, [Konferenzveröffentlichung]

Carlino, L. ; Jin, D. ; Muma, M. ; Zoubir, A. M. (2019):
Robust Distributed Cooperative RSS-based Localization for Directed Graphs in Mixed LoS/NLoS Environments.
In: EURASIP Journal on Wireless Communications and Networking (2019), 2019, (19), [Online-Edition: https://doi.org/10.1186/s13638-018-1335-7],
[Article]

Muma, M. ; Zeng, W.-J. ; Zoubir, A. M. (2019):
Robust M-Estimation Based Matrix Completion.
In: Proc. 44th IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP) (accepted), [Konferenzveröffentlichung]

Fauß, M. ; Muma, M. ; Teklehaymanot, F. K. ; Zoubir, A. M. (2019):
Robust Detection for Cluster Analysis.
In: Proc. 44th IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP) (accepted), [Konferenzveröffentlichung]

2018

Zoubir, A. M. ; Muma, M. (2018):
Accurate Monitoring of Cardiovascular Activity.
SciTech Europe, [Online-Edition: https://www.scitecheuropa.eu/monitoring-cardiovascular-activ...],
[Other]

Teklehaymanot, F. K. ; Muma, M. ; Zoubir, A. M. (2018):
Bayesian Cluster Enumeration Criterion for Unsupervised Learning.
In: IEEE Trans. Signal Process., S. 5392-5406, 66, (20), ISSN 1941-0476,
[Online-Edition: https://doi.org/10.1109/TSP.2018.2866385],
[Article]

Schäck, T. ; Muma, M. ; Feng, M. ; Guan, C. ; Zoubir, A. M. (2018):
Robust Nonlinear Causality Analysis of Non-Stationary Multivariate Physiological Time Series.
In: IEEE Transactions on Biomedical Engineering, S. 1213-1225, 65, (6), ISSN 0018-9294,
DOI: 10.1109/TBME.2017.2708609,
[Online-Edition: https://doi.org/10.1109/TBME.2017.2708609],
[Article]

Al-Sayed, S. ; Plata-Chaves, J ; Muma, M. ; Moonen, M. ; Zoubir, A. M. (2018):
Node-Specific Diffusion LMS-Based Distributed Detection Over Adaptive Networks.
In: IEEE Transactions on Signal Processing, S. 682-697, 66, (3), ISSN 1053-587X,
[Online-Edition: https:/doi.org/10.1109/TSP.2017.2771731],
[Article]

Binder, P. ; Muma, M. ; Zoubir, A. M. (2018):
Gravitational Clustering: A Simple, Robust and Adaptive Approach for Distributed Networks.
In: Signal Processing, S. 36-48, 149, ISSN 0165-1684,
DOI: 10.1016/j.sigpro.2018.02.034,
[Online-Edition: https://www.sciencedirect.com/science/article/pii/S016516841...],
[Article]

Schäck, T. ; Muma, M. ; Zoubir, A. M. (2018):
Hands-on in Signal Processing Education at Technische Universität Darmstadt.
In: Proc. 43rd IEEE Int. Conf. Accoust. Speech and Signal Process. (ICASSP), [Konferenzveröffentlichung]

Teklehaymanot, F. K. ; Muma, M. ; Zoubir, A. M. (2018):
Novel Bayesian Cluster Enumeration Criterion for Cluster Analysis With Finite Sample Penalty Term.
In: Proc. 43rd IEEE Int. Conf. Accoust. Speech and Signal Process. (ICASSP), [Konferenzveröffentlichung]

Teklehaymanot, F. K. ; Muma, M. ; Zoubir, A. M. (2018):
Robust Bayesian Cluster Enumeration.
In: IEEE Transactions on Signal Processing (under review), [Online-Edition: https://arxiv.org/abs/1811.12337],
[Article]

Teklehaymanot, F. K. ; Seifert, A.-K. ; Muma, M. ; Amin, M. G. ; Zoubir, A. M. (2018):
Bayesian Target Enumeration and Labeling Using Radar Data of Human Gait.
In: 26th European Signal Processing Conference (EUSIPCO), [Konferenzveröffentlichung]

Hamaidi, L. K. ; Muma, M. ; Zoubir, A. M. (2018):
Robust Distributed Sparsity-Constrained Non-Negative Source Separation and Multi-Speaker Voice Activity Detection for Speech Enhancement in Wireless Acoustic Sensor Networks.
In: Proc. 2nd International Conference on Signals and Systems, [Konferenzveröffentlichung]

Teklehaymanot, F. K. ; Muma, M. ; Zoubir, A. M. (2018):
Diffusion-Based Bayesian Cluster Enumeration in Distributed Sensor Networks.
In: IEEE Statistical Signal Processing Workshop (SSP), [Konferenzveröffentlichung]

Zoubir, A. M. ; Koivunen, V. ; Ollila, E. ; Muma, M. (2018):
Robust Statistics for Signal Processing.
Cambridge University Press, [Book]

2017

Machkour, J. ; Muma, M. ; Alt, B. ; Zoubir, A. M. (2017):
A New Sparse and Robust Adaptive Lasso Estimator for the Independent Contamination Model.
In: IEEE Transactions on Signal Processing (submitted), ISSN 1053-587X,
[Online-Edition: https://arxiv.org/abs/1705.02162],
[Article]

Schäck, T. ; Safi Harb, Y. ; Muma, M. ; Zoubir, A. M. (2017):
Computationally Efficient Algorithm for Photoplethysmography-Based Atrial Fibrillation Detection Using Smartphones.
In: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, South Korea, DOI: 10.1109/EMBC.2017.8036773,
[Online-Edition: https://doi.org/10.1109/embc.2017.8036773],
[Konferenzveröffentlichung]

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

Machkour, J. ; Alt, B. ; Muma, M. ; Zoubir, A. M. (2017):
The Outlier-Corrected-Data-Adaptive Lasso: A New Robust Estimator for the Independent Contamination Model.
In: European Signal Processing Conference 2017 (EUSIPCO 2017), [Online-Edition: http://ieeexplore.ieee.org/document/8081489/],
[Konferenzveröffentlichung]

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

Hamaidi, L. K. ; Muma, M. ; Zoubir, A. M. (2017):
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), [Konferenzveröffentlichung]

Schäck, T. ; Muma, M. ; Zoubir, A. M. (2017):
Computationally efficient heart rate estimation during physical exercise using photoplethysmographic signals.
In: European Signal Processing Conference 2017 (EUSIPCO 2017), Kos, Greece, [Online-Edition: https://doi.org/10.23919/EUSIPCO.2017.8081656],
[Konferenzveröffentlichung]

Teklehaymanot, F. K. ; Muma, M. ; Zoubir, A. M. (2017):
Adaptive Diffusion-Based Track Assisted Multi-Object Labeling in Distributed Camera Networks.
In: Proc. 25th IEEE European Signal Processing Conference (EUSIPCO), [Konferenzveröffentlichung]

Hamaidi, L. K. ; Muma, M. ; Zoubir, A. M. (2017):
Robust Distributed Multi-Speaker Voice Activity Detection Using Stability Selection for Sparse Non-Negative Feature Extraction.
In: Proc. 25th IEEE European Signal Processing Conference (EUSIPCO), [Konferenzveröffentlichung]

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

2016

Muma, M. ; Zoubir, A. M. (2016):
Bounded Influence Propagation τ-Estimation: A New Robust Method for ARMA Models.
In: IEEE Transactions on Signal Processing, S. 1712-1727, 65, (7), ISSN 1053-587X,
DOI: 10.1109/TSP.2016.2634539,
[Online-Edition: http://arxiv.org/abs/1607.01192],
[Article]

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

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

Binder, P. ; Muma, M. ; Zoubir, A. M. (2016):
Robust and Adaptive Diffusion-based Classification in Distributed Networks.
In: EURASIP Journal on Advances in Signal Processing: Advances in adaptive filtering theory and applications to acoustic and speech signal processing, [Article]

Martinez-Camara, M. ; Muma, M. ; Béjar-Haro, B. ; Zoubir, A. M. ; Vetterli, M. (2016):
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]

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

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

Schäck, T. ; Muma, M. ; Alkhaldi, W. ; Zoubir, A. M. (2016):
A procedure to locate the eyelid position in noisy videokeratoscopic images.
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, S. 136, 2016, (1), ISSN 1687-6180,
[Online-Edition: http://dx.doi.org/10.1186/s13634-016-0433-0],
[Article]

2015

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

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

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

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

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

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

Kelava, Augustin ; Muma, M. ; Deja, M. ; Dagdagan, J. Y. ; Zoubir, A. M. (2015):
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,
DOI: 10.3389/fpsyg.2014.01507,
[Article]

2014

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

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

Dagdagan, J. Y. ; Muma, M. ; Zoubir, A. M. (2014):
Robust testing for stationarity in the presence of outliers.
In: 2014 {IEEE} {International} {Conference} on {Acoustics}, {Speech} and {Signal} {Processing} ({ICASSP}), DOI: 10.1109/ICASSP.2014.6854244,
[Konferenzveröffentlichung]

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

2013

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

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

2012

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

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

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

2011

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

2010

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

2009

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

This list was generated on Mon Jun 24 06:20:10 2019 CEST.