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.

Research

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.

Publications

Exportieren als ASCII CitationBibTeXDublin CoreEP3 XMLEndNoteHTML CitationJSONMultiline CSVObject IDsRDF+XMLReference ManagerT2T_XML Atom RSS 1.0 RSS 2.0 Group by: Publikationsjahr | Item type | No grouping Jump to: 2017 Number of items: 2. 2017 Machkour, J. ; Muma, M. ; Alt, B. ; Zoubir, A. M. (2017): A Robust Adaptive Lasso Estimator for the Independent Contamination Model. In: Signal Processing, Elsevier, ISSN 1053-587X, [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] This list was generated on Fri Sep 20 05:12:19 2019 CEST.