Dr. Bastian Alt
2023
PhD student 2017-2022 and Postdoc 2023
Working area(s)
Contact
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. He joined our team in January 2017. In January 2022, he completed his Ph.D. entitled “Model-Based Bayesian Inference, Learning, and Decision-Making with Applications in Communication Systems” at the department of electrical engineering and information technology, Technische Universität Darmstadt.
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 .
Links
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Current Student Projects
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Completed Student Projects
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Hui Lin (Master thesis) |
Learning Collective Behavior with Reinforcement Learning | 10/2022 |
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Ion Niklas Bistriceanu (Master thesis) |
Realtime implementation of a nonlinear modelpredictive controller for a quadcopter | 06/2022 |
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Amine Chouchane (Bachelor thesis) |
Predicting times of presence at deliveryaddresses using deep learning | 04/2022 |
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Tristan Tisch (Bachelor thesis) |
The Linear Noise Approximation for Bayesian Optimization in Chemical Reaction Networks | 05/2021 |
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Dirk Schweickard (Bachelor thesis) |
Kollektives Explorationsverhalten – inspiriert von der Biologie | 05/2021 |
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Wladimir Reiswich (Master thesis) |
Positioning and Attitude Estimation of Quadcopters | 04/2021 |
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Gabriel Krack (Bachelor thesis) |
Stochastic Model Predictive Control for Quadcopters | 10/2020 |
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Erik Samstag (Bachelor thesis – co-supervision w/ IAS TU Darmstadt) |
Bayesian Optimization for Biochemical Dose Response Measurements | 10/2020 |
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Michael Suffel (Master thesis) |
A Decentralized Multi-Agent Model Predictive Control Framework for Quadcopters | 06/2020 |
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Florian Swienty (Master thesis) |
Decentralized Collision-Free Flight of a Quadcopter Swarm | 04/2020 |
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Lu Wan (Master thesis) |
Path Integral Control for Quadcopters | 03/2020 |
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Sebastian Wirth (Bachelor thesis) |
State Space Reduction Using Variational Autoencoders | 12/2019 |
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Intisar Naheen (Master thesis) |
Bayesian Reinforcement Learning with Maximum Entropy Finite State Controllers | 12/2018 |
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Hans Stenglein (Bachelor thesis) |
Optimal Planning with Model Uncertainty | 11/2018 |
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Hameer Abbasi (Master thesis – w/ Wasiur KhudaBukhsh) |
Decentralised Decision Making for Queueing Systems | 08/2018 |
Co-Supervised Student Projects
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Sakshi Goyal (Master thesis – co-supervison w/ Visual Inference TU Darmstadt) |
Instance Segmentation with Group Proposals | 06/2020 |
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Yue Wang (Master thesis – co-supervison w/ Ubiquitous Knowledge Processing (UKP) Lab TU Darmstadt) |
Addressing The Speakers’ Persona Consistency Issue in Neural Conversational Agents | 12/2019 |
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Sumanth Venugopal (Master thesis – co-supervison w/ Audi Electronics Venture GmbH) |
Bayesian Optimization for Deep Learning Based Object Detection | 06/2019 |
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Deepti Joshi (Master thesis – co-supervison w/ Robert Bosch Automotive Steering GmbH) |
Verification of Reliability Prediction Models for Practical Suitability and Implementation of Improvements | 04/2019 |
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Sakthivel Velumani (Master thesis – co-supervison w/ Intel Deutschland GmbH) |
Design and Implementation of Improved Decoding Algorithms for LDPC Convolutional Codes | 01/2019 |