Bastian Alt

Bastian Alt

PhD student

Rundeturmstraße 12
64283 Darmstadt

Office: S3/19 1.8

+49 6151 16-57 246
+49 6151 16-57 241


Bastian Alt received his B.Sc. and M.Sc. degrees in Electrical Engineering and Information Technology from Technische Universität Darmstadt in November 2013 and December 2016, respectively. His master thesis was entitled “Robust and Sparse Regression for Linear Inverse Problems”. He joined the Bioinspired Communication Systems Lab in January 2017.

He is part of the Collaborative Research Centre (CRC) 1053 “MAKI– Multi-Mechanisms Adaptation for the Future Internet” in the sub-project B4. He is interested in the modelling of networking systems, in order to infer and predict system behaviour to do control.

His research interest includes many areas of machine learning such as probabilistic inference of Markov chains, Continuous Time Bayesian Networks (CTBN), Bayesian non-parametrics, Planning/Reinforcement learning using model based approaches, i.e. Markov Decision Processes (MDP).

These techniques are used to do learning in communication systems, e.g. in queuing networks.

Possible Student Projects you can find here.


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Jump to: 2019 | 2018
Number of items: 4.


Alt, Bastian ; Weckesser, Markus ; Becker, Christian ; Hollick, Matthias ; Kar, Sounak ; Klein, Anja ; Klose, Robin ; Kluge, Roland ; Koeppl, Heinz ; KhudaBukhsh, Wasiur R. ; Luthra, Manisha ; Mousavi, Mahdi ; Mühlhäuser, Max ; Pfannemüller, Martin ; Rizk, Amr ; Schürr, Andy ; Steinmetz, Ralf (2019):
Transitions: A Protocol-Independent View of the Future Internet.
In: Proceedings of the IEEE, S. 835-846, 107, (4), ISSN 0018-9219,
DOI: 10.1109/JPROC.2019.2895964,

Alt, Bastian ; Ballard, Trevor ; Steinmetz, Ralf ; Koeppl, Heinz ; Rizk, Amr (2019):
CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming.
In: Proc. of IEEE \textbfINFOCOM - accepted full paper, [Konferenzveröffentlichung]


Alt, Bastian ; Messer, Michael ; Roeper, Jochen ; Schneider, Gaby ; Koeppl, Heinz (2018):
Non-Parametric Bayesian Inference for Change Point Detection in Neural Spike Trains.
Freiburg im Breisgau, Germany, In: 2018 IEEE Statistical Signal Processing Workshop (SSP) (SSP 2018), Freiburg im Breisgau, Germany, [Konferenzveröffentlichung]

KhudaBukhsh, Wasiur R. ; Alt, Bastian ; Kar, Sounak ; Rizk, Amr ; Koeppl, Heinz (2018):
Collaborative Uploading in Heterogeneous Networks: Optimal and Adaptive Strategies.
IEEE, In: IEEE International Conference on Computer Communications (INFOCOM), [Konferenzveröffentlichung]

This list was generated on Fri Sep 20 05:21:50 2019 CEST.
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Group by: Publikationsjahr | Item type | No grouping
Jump to: 2017
Number of items: 2.


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,

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:],

This list was generated on Fri Sep 20 05:19:53 2019 CEST.