Master theses

On this page you will find a selection of exciting topics for Master's theses. The topics can also serve as inspiration for further ideas. Feel free to get in touch with the employees listed to find out more about the subject area and requirements.

Master's theses of the Prof. Becker group

The descriptions given in the following list under "Title" represent general topics for theses with the supervisors indicated in each case. If you are interested, simply contact the relevant person.


Title	Tutor
Methodology for evaluating model-accelerator co-design in deep learning	Dr.-Ing. Dipl.-Inform. Tanja Harbaum
Developing a mapping tool for adaptive AI accelerators	Fabian Lesniak, M.Sc.
Safe and Robust Machine Learning - Hardware Perspective	M.Sc. Julian Höfer
Safe and Robust Machine Learning - Application / Co-Design Perspective	M.Sc. Julian Höfer
Parallel result validation of AI accelerators using most neuron activation monitor	M. Sc. Matthias Stammler M. Sc. Patrick Schmidt
Automated AI-based Placement of Early Exits in Deep Neural Networks	M. Sc. Matthias Stammler
Automated Context Adaption of Iterative Software in Constraint Execution Environments	M. Sc. Matthias Stammler
Automated and split Binding of Software Components to Execution Units on the Basis of Safety and Security Premises	M. Sc. Matthias Stammler
On-device Training and Neural Architecture Search Hardware Accelerator	Dipl. Ing. Alexey Serdyuk Dipl. Spezialistin Iuliia Topko
Symbolic Regression for Efficient Time Series Modelling on Ultra Low Power Embedded Platforms	Dipl. Ing. Alexey Serdyuk
Neural Architecture Search of efficient Recurrent Networks for TinyML	Dipl. Ing. Alexey Serdyuk
Decoding Decay - Real-Time Particle Detection from Point Clouds	M.Sc. Marc Neu M.Sc. Kai Unger
Concept and development of high-performance hardware accelerators for neural networks	M. Sc. Patrick Schmidt M. Sc. Tim Hotfilter
Compiler-Based Integration of Neural Network Accelerators	M. Sc. Patrick Schmidt M.Sc. Marc Neu

Master's theses of the Prof. Sax group

If you are interested in writing a thesis, please get in touch directly with the contact persons listed for the respective thesis.


Title	Tutor	Date
Automated scene graph generation from camera images of traffic scenes to validate AI-based object recognition	M.Eng. Hubert Padusinski	ab 11 / 2024
AI-based recognition of facial features and symmetry axes to build biometric databases for the development of respiratory masks	M. Sc. Daniel Baumann	ab 11 / 2024
Development of learning-based multi-agent models for validating automated driving functions in adaptive traffic simulations	M. Sc. Joshua Ransiek	ab 11 / 2024
Development of hierarchical models for validating automated driving functions in adaptive traffic simulations	M. Sc. Joshua Ransiek	ab 11 / 2024
Design and implementation of an intelligent waste garbage can with LoRaWAN and object recognition	Moritz Zink, M. Sc.	ab 11 / 2024
Pattern recognition in the context of timetable deviations in the public transport system of Berliner Verkehrsbetriebe Gesellschaft (BVG) for operational optimization	Jacqueline Henle M.Sc. (FZI) Dr. Sigrun Beige (BVG)	ab 03 / 2025
Entwicklung einer High Availability Fähigkeit im Kontext des Software-Defined Vehicles	M.Sc. Marc Schindewolf	ab 08 / 2024
Test environment for networked medical devices in the operating room	Dr. Claudia Nagel (Software Engineer Getinge) M. Sc. Andreas Puder (Software Engineer Getinge) M. Sc. Vitus Lüntzel (ITIV)	ab 08 / 2024
Data-driven safety specification with Contract Mining	M.Sc. Daniel Grimm M.Sc. Moritz Zink	ab 08 / 2024
Continuously Learning of Neural Networks	M. Sc. Daniel Baumann	ab 08 / 2024
Test & validation of perceptual functions - analysis and comparative study of different simulation environments	M.Sc. Christian Steinhauser	ab 08 / 2024
Master's thesis on the use of generative AI in requirements engineering	M. Sc. Philipp Rigoll	ab 08 / 2024
Conception of a model-driven process for vehicle control development	M.Sc. Moritz Zink, M.Sc. Jacqueline Henle, M.Sc. Tanja Schneider, M.Sc. Melanie Waßmer	ab 08 / 2024
Online parameterization of battery models using transfer learning of a pre-trained neural network with included online anomaly detection (AILERON)	M.Sc. Moritz Zink M.Sc. Susann Wunsch	ab 08 / 2024
Design of a use case concept for the definition of requirements and derivation of test cases for the vehicle control of rail vehicles	M. Sc. Nathalie Brenner, M. Sc. Nicole Kechler, M. Sc. Melanie Waßmer, M. Sc. Tanja Schneider	ab 08 / 2024
Design and implementation of an interactive controller concept	M.Sc. David Kraus	ab 08 / 2024
Cost-optimized deployment of cloud-based vehicle functions	M.Sc. Martin Sommer M.Sc. Daniel Baumann	ab 08 / 2024
Image-based measurement of the mandrel’s movement speed in the context of an automated stent production	M.Sc. Yuna Haas	ab 08 / 2024
Investigation of the suitability of 3D Gaussian splatting for generating static environments for photorealistic real-time simulations	M.Sc. Christian Steinhauser M.Sc. Carl Philipp Hohl	ab 08 / 2024
Develop & build a data acquisition & analysis system for an AI-based "human-understanding" coffee machine.	M. Sc. Michael Müller M. Sc. David Kraus	from 08 / 2024
Development of a machine learning-based methodology for semantic matching of model-based systems engineering sketches	M.Sc. Moritz Zink M.Sc. Daniel Grimm	ab 08 / 2024
Determination of similarities of scenarios for safeguarding highly automated driving functions.	M. Eng. Julian Fuchs	ab 08 / 2024
Development of a process for dynamic function relocation of safety-critical vehicle functions	M. Sc. Daniel Baumann M. Sc. Martin Sommer	ab 08 / 2024
Runtime calculation of CNNs	M. Sc. Yuna Haas	ab 08 / 2024
Automatic visual inspection with neural networks using the example of cardiovascular implants (stents)	M. Sc. Yuna Haas	ab 08 / 2024

Master's theses of the Prof. Stork group

If you are interested in writing a thesis, please get in touch directly with the contact persons listed for the respective thesis.


Title	Tutor	Date
Hyperparameter Optimization: Enhancing Model Efficiency and Accuracy in Machine Learning	M. Sc. Anqi Chu	ab 08 / 2024
Classification of coffee aromas using e-Nose and ML/KI	M. Sc. Markus Lehner	ab 08 / 2024
Energy-saving LoRa Mesh Network through wake-on-receive	M. Sc. Markus Lehner	ab 08 / 2024
Action recognition on video data using pose estimation	M.Sc. Oliver Werthwein	ab 04 / 2024
Generation of 3D models from image data for the telemedical treatment of psoriasis	M.Sc. Lara Schweickart	ab 08 / 2024
Further development of an ultrasound board for use in the telemedical treatment of psoriasis	M.Sc. Lara Schweickart	ab 08 / 2024
Design of a Mobile Application for Dementia Risk Factors Treatment	M. Sc. Marius Gerdes	ab 08 / 2024
Computer Vision and AI-Powered Vital Signs Analytics for Healthcare Applications	M.Sc. Gergely Biri	ab 08 / 2024
Data trustee for sovereign management and effective use of medical data in sleep research	M.Sc. Christina Erler	ab 08 / 2024
Design and development of blockchain-based systems in healthcare	M. Sc. Christina Erler	ab 08 / 2024
Translational research for the scaling of digital health applications	Dr.-Ing. Markus Schinle	ab 08 / 2024
Model-based approaches for recording patient reports (Patient Reported Outcome)	Dr.-Ing. Markus Schinle	ab 08 / 2024
Gamification for lifestyle interventions	Dr.-Ing. Markus Schinle	ab 08 / 2024
Platform for the treatment of risk factors in dementia	Dr.-Ing. Markus Schinle	ab 08 / 2024
Development of a self-learning machine learning pipeline for a mobile application supporting sports activity	M.Sc. Gergely Biri	ab 08 / 2024
Vitaldata Analytics with AI to Improve Healthcare Decision-Making	M.Sc. Gergely Biri	ab 08 / 2024
Impact of differential privacy procedures in data protection on the quality of trained AI models.	M.-Eng. Jens Juhl	ab 06 / 2023
Deep learning approach to driving behavior prediction with data fusion.	M. Sc. Anqi Chu M. Sc. Xiang Xie	ab 08 / 2024
Train your own AI agent with Reinforcement Learning: Gaming, dynamic controlling like a pro	M. Sc. Xiang Xie	ab 08 / 2024
Meta-learning: learning to learn. Generalization of neural network capability for task series	M. Sc. Anqi Chu	ab 08 / 2024
METIS NEUROTEC - Fighting dementia with AI	Dr.-Ing. Simon Stock Dr.-Ing. Markus Schinle M. Sc. Marius Gerdes	ab 08 / 2024
Embedded systems in brain-computer-interfaces (Eingebettet Systeme für Gehirn-Computer-Schnittstellen)	M. Sc. Marius Gerdes	ab 08 / 2024