Office: S3/19 1.8
work +49 6151 16-57 246
fax +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.
Current Student Projects
|Bayesian Optimization for Dose Response Curves|
|Stochastic Model Predictive Control for Quadcopters|
Completed Student Projects
|A Decentralized Multi-Agent Model Predictive Control Framework for Quadcopters||06/2020|
|Decentralized Collision-Free Flight of a Quadcopter Swarm||04/2020|
|Path Integral Control for Quadcopters||03/2020|
|State Space Reduction Using Variational Autoencoders||12/2019|
|Bayesian Reinforcement Learning with Maximum Entropy Finite State Controllers||12/2018|
|Optimal Planning with Model Uncertainty||11/2018|
(Master thesis – w/ Wasiur KhudaBukhsh)
|Decentralised Decision Making for Queueing Systems||08/2018|
Co-Supervised Student Projects
(Master thesis – co-supervison w/ Visual Inference TU Darmstadt)
|Instance Segmentation with Group Proposals|
(Master thesis – co-supervison w/ Ubiquitous Knowledge Processing (UKP) Lab TU Darmstadt)
|Addressing The Speakers’ Persona Consistency Issue in Neural Conversational Agents||12/2019|
(Master thesis – co-supervison w/ Audi Electronics Venture GmbH)
|Bayesian Optimization for Deep Learning Based Object Detection||06/2019|
(Master thesis – co-supervison w/ Robert Bosch Automotive Steering GmbH)
|Verification of Reliability Prediction Models for Practical Suitability and Implementation of Improvements||04/2019|
(Master thesis – co-supervison w/ Intel Deutschland GmbH)
|Design and Implementation of Improved Decoding Algorithms for LDPC Convolutional Codes||01/2019|