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.

Bastian is part of the Collaborative Research Centre (CRC) 1053 “MAKI– Multi-Mechanisms Adaptation for the Future Internet” in sub-project B4. He is interested in modelling of network systems. For this tools from machine learning/ statistics, control and optimization are used.

His research interests include topics from machine learning and control such as Bayesian inference of Markov chains, Bayesian non-parametrics, Bayesian optimization, stochastic optimal control, planning in Markov Decision Processes (MDPs), reinforcement learning and bandit algorithms.

Possible applications include learning and control of communication systems, e.g., in queuing networks.

Possible Student Projects you can find here.


Alt, B. ; Šošić, A. ; Koeppl, H. (2019):
Correlation Priors for Reinforcement Learning.
In: 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Kanada, 09.12.-13.12.2019, [Konferenzveröffentlichung]

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.
107, In: Proceedings of the IEEE, (4), S. 835-846, 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, S. 1-9, [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]

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), S. 1699-1703, [Online-Edition:],

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