Jasin Machkour

Jasin Machkour

Jasin Machkour

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

Merckstr. 25
64283 Darmstadt

Office: S3|06 252

+49 6151 16-21353
+49 6151 16-21342

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Jasin received his B.Sc. degree in Industrial Engineering with a major in Electrical Engineering and Information Technology from TU Darmstadt in 2016. During his master's studies at TU Darmstadt, he spent a year at the University of Illinois at Urbana-Champaign (USA) in the Department of Electrical and Computer Engineering. After finishing his master's program in Electrical Engineering and Information Technology with a major in Communication and Sensor Networks in 2019, he started his doctoral studies in the Signal Processing Group at TU Darmstadt.

In his bachelor’s thesis he dealt with robust and adaptive regression for linear and sparse models and in his master’s thesis he worked on robust and adaptive statistical learning for high-dimensional data.

Office Hours: Fridays, 2-5 p.m.


Jasin's research interests lie in the broad field of statistical signal processing and especially in statistical learning theory, robust model selection and robust parameter estimation. Currently, he is working on developing robustness and sparsity inducing methods for outlier contaminated and high-dimensional data.


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Machkour, J. ; Muma, M. ; Alt, B. ; Zoubir, A. M. (2020):
A Robust Adaptive Lasso Estimator for the Independent Contamination Model.
In: Signal Processing, 174, Elsevier ScienceDirect, ISSN 01651684,
DOI: 10.1016/j.sigpro.2020.107608,


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.
S. 1699-1703, European Signal Processing Conference 2017 (EUSIPCO 2017), Kos, Greece, 28.08.-02.09., DOI: 10.23919/EUSIPCO.2017.8081489,
[Conference item]

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