Master theses

On this page you will find a selection of exciting topics for a master thesis. The topics can also serve as inspiration for further ideas. Feel free to contact the mentioned employees to learn more about the topic and the requirements.

Master's theses in the group of Embedded Electronic Systems (Prof. Becker)
Title	Tutor	Date
Compiler-Based Integration of Neural Network Accelerators	M. Sc. Patrick Schmidt M.Sc. Marc Neu	ab 05 / 2023
Concept and development of high-performance hardware accelerators for neural networks	M. Sc. Patrick Schmidt M. Sc. Tim Hotfilter	ab 03 / 2023
Design and implementation of a Deep Neural Network hardware accelerator for face recognition on FPGA.	M. Sc. Iris Walter	ab 03 / 2023
Developing a mapping tool for adaptive AI accelerators	Fabian Lesniak, M.Sc.	starting from 06 / 2023
Development of a RISC-V based Platform for efficient Temporal Convolutional Network Inference in embedded Systems	M. Sc. Fabian Kreß	ab 05 / 2023
Development of a hardware accelerator for Graph Neural Networks for object recognition in embedded systems	M. Sc. Iris Walter M. Sc. Marc Neu	ab 03 / 2023
Development of a shared memory interface for distributed applications on heterogeneous MPSoCs	M. Sc. Tobias Dörr	ab 04 / 2023
Implementation of a hardware accelerator for neural networks for processing radar data	M. Sc. Patrick Schmidt M. Sc. Iris Walter	ab 02 / 2023
Methodology for evaluating model-accelerator co-design in deep learning	M. Sc. Iris Fürst-Walter	ab 08 / 2023
Monitoring strategies and metrics for AI accelerator activations using activation patterns	Jakob Matthias Stammler, M. Sc. David Kraus, M. Sc.	ab 03 / 2023
Multi-Level Scheduler for Accelerators in Distributed Systems	M. Sc. Marius Kreutzer	ab 07 / 2023
Parallel result validation of AI accelerators using most neuron activation monitor	M. Sc. Matthias Stammler M. Sc. Patrick Schmidt	ab 03 / 2023
Real-time noise reduction using graph signal processing methods in the Belle II project.	M. Sc. Marc Neu M. Sc. Kai Unger	ab 04 / 2023
Safe and Robust Machine Learning - Application / Co-Design Perspective	M.Sc. Julian Höfer	ab 03 / 2023
Safe and Robust Machine Learning - Hardware Perspective	M.Sc. Julian Höfer	ab 03 / 2023
Sensor pen trajectory reconstruction using Spiking Neural Networks	Dipl.-Ing. Alexey Serdyuk Brian Pachideh	ab 03 / 2023

Master's theses in the group of Systems Engineering (Prof. Sax)
Title	Tutor	Date
Online initial parameterization of a battery model at Daimler Buses	M.Sc. Susann Wunsch	ab 09 / 2023
Robust generation of cropped images in the context of stent production	M.Sc. Benedikt Haas	ab 08 / 2023
Conceptual design and implementation of an automated system answering questions in public transport using natural, spoken language	M.Sc. Benedikt Haas	ab 08 / 2023
Development of a cloud environment for the realization of OTA updates and the relocation of vehicle functions	M.Sc. Martin Sommer M.Sc. Luca Seidel	ab 07 / 2023
Evaluation of state-of-the-art lane detection algorithms for highly automated vehicles	M. Sc. Joshua Ransiek	ab 07 / 2023
Conception and implementation of a framework for test generation using contract-based design	M. Sc. Daniel Grimm M. Sc. Ann-Therese Nägele M. Sc. Moritz Zink	ab 06 / 2023
Development & evaluation of a ML concept for a "human understanding" coffee machine	M. Sc. Michael Müller M. Sc. Nicole Kechler	ab 05 / 2023
Develop & build a data acquisition & analysis system for an AI-based "human-understanding" coffee machine.	M. Sc. Michael Müller M. Sc. David Kraus	ab 05 / 2023
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 04 / 2023
Generation of safety-critical scenarios using multi-agent reinforcement learning	M. Sc. Joshua Ransiek	ab 07 / 2023
Adversarial reinforcement learning for safety-critical scenarios	M. Sc. Joshua Ransiek	ab 07 / 2023
Physically informed neural networks in the context of cloud-based vehicle functions.	M. Sc. Daniel Baumann	ab 04 / 2023
Determination of similarities of scenarios for safeguarding highly automated driving functions.	M. Eng. Julian Fuchs	ab 03 / 2023
Front-end development for dashboard on safety topics	M.-Eng. Hubert Padusinski	ab 03 / 2023
Analysis of urban outdoor environments	M.-Eng. Hubert Padusinski	ab 03 / 2023
Design of a reinforcement learning agent for the operation of a depot for buses with alternative drives	M. Sc. Vitus Lüntzel	ab 03 / 2023
Comparison of optimization strategies on a depot	M. Sc. Vitus Lüntzel	ab 03 / 2023
Development of a sensor platform for behavior analysis of zoo animals	M. Sc. Vitus Lüntzel	ab 03 / 2023
Analysis of audio recordings for behavior monitoring of zoo animals	M. Sc. Vitus Lüntzel	ab 03 / 2023
Development of an adaptive and intelligent strategy for charging electric coaches	M. Sc. Carolin Junk M. Sc. David Kraus	ab 03 / 2023
Concepts for the development of a prediction model for electrified buses	M. Sc. Carolin Junk M. Sc. David Kraus	ab 03 / 2023
Data mining for the investigation of energy saving potentials at Cuppamare	M. Sc. Ann-Therese Nägele	ab 03 / 2023
Predictive diagnosis and detection of diseased trees.	M. Sc. Marc Schindewolf	ab 03 / 2023
Development of a process for dynamic function relocation of safety-critical vehicle functions	M. Sc. Daniel Baumann M. Sc. Martin Sommer	ab 08 / 2023
AI voluTion: Towards explainable, sustainable and safe AI.	M. Sc. Felix Krauter M. Sc. Moritz Zink	ab 03 / 2023
AI based monitoring function for a prototype	M. Sc. Marc Schindewolf	ab 03 / 2023
Secure integration of unknown modules in a plug&play architecture for the connected automated vehicle of tomorrow	M. Sc. Marc Schindewolf	ab 03 / 2023
Recognition and behavioral analysis of zoo animals in camera images	M. Sc. Carl Philipp Hohl M. Sc. Vitus Lüntzel	ab 03 / 2023
Runtime calculation of CNNs	M. Sc. Benedikt Haas	ab 03 / 2023
Examination of the stent geometry for symmetries	M. Sc. Benedikt Haas	ab 03 / 2023
Universal Plug&Play Architecture for the Connected Automated Vehicle of Tomorrow	M. Sc. Daniel Grimm M. Sc. Marc Schindewolf	ab 03 / 2023
On the Road to „Automatisiertem Fahren“ – Umgebungsangepasste Sensorkonzepte	M. Sc. Nathalie Brenner M. Sc. Nicole Kechler Dipl.-Ing. Lukas Erlinghagen	ab 03 / 2023
Automatic visual inspection with neural networks using the example of cardiovascular implants (stents)	M. Sc. Benedikt Haas	ab 03 / 2023

Master's theses in the group of Microsystem Technology and Optics (Prof. Stork)
Title	Tutor	Date
Data trustee for sovereign management and effective use of medical data in sleep research	M.Sc. Christina Erler	ab 08 / 2023
Design and development of blockchain-based systems in healthcare	M. Sc. Christina Erler	ab 08 / 2023
Perfusion analysis as part of an AI-based monitoring app for patients with chronic skin diseases	M.Sc. Julia Hofmann	ab 08 / 2023
Evaluation and further development of a tactile interface to make the skin tangible	M.Sc. Lara Schweickart	ab 07 / 2023
Building a tactile interface to make the skin tangible	M.Sc. Lara Schweickart	ab 07 / 2023
Translational Research for the Scaling of Digital Health Applications	Dr.-Ing. Markus Schinle	ab 05 / 2023
Translational Research for the Scaling of Digital Health Applications	Dr.-Ing. Markus Schinle	ab 05 / 2023
Model-driven Approaches for Patient Reported Outcome Collection	Dr.-Ing. Markus Schinle	ab 05 / 2023
Gamification for Lifestyle Interventions	Dr.-Ing. Markus Schinle	ab 05 / 2023
Platform for the Treatment of Risk Factors in Dementia	Dr.-Ing. Markus Schinle	ab 05 / 2023
Privacy mechanisms for health screenings	M.Sc. Gergely Biri	ab 06 / 2023
Development of a self-learning machine learning pipeline for a mobile application supporting sports activity	M.Sc. Gergely Biri	ab 06 / 2023
Vitaldata Analytics with AI to Improve Healthcare Decision-Making	M.Sc. Gergely Biri	ab 06 / 2023
Impact of differential privacy procedures in data protection on the quality of trained AI models.	M.-Eng. Jens Juhl	ab 06 / 2023
Test Engineering for Medical Software	Dr.-Ing. Simon Stock	05 / 2023
Development of Digital Healthcare Applications (DiGA) for iOS and Android	Dr.-Ing. Simon Stock	ab 05 / 2023
Deep learning approach to driving behavior prediction with data fusion.	M. Sc. Anqi Chu M. Sc. Xiang Xie	ab 03 / 2023
Cross-platform deployment and update of neural networks	M. Sc. Xiang Xie	ab 03 / 2023
Train your own AI agent with Reinforcement Learning: Gaming, dynamic controlling like a pro	M. Sc. Xiang Xie	ab 03 / 2023
Feature selection and model compression: fast, efficient and explainable machine learning	M. Sc. Xiang Xie	ab 03 / 2023
Meta-learning: learning to learn. Generalization of neural network capability for task series.	M. Sc. Xiang Xie	ab 03 / 2023
Machine learning algorithms for multi-label classification problems.	M. Sc. Xiang Xie	ab 03 / 2023
Apps as a medical device	Dr.-Ing. Simon Stock	ab 03 / 2023
METIS NEUROTEC - With AI against dementia	Dr.-Ing. Simon Stock Dr.-Ing. Markus Schinle M. Sc. Marius Gerdes	ab 03 / 2023
Design and implementation of a beam scanning system for lidar systems in the field of autonomous driving	M. Sc. Lintao Toni Fan	ab 03 / 2023
Design, evaluation and optimization of an optical sensor for wind parameter determination	M. Sc. Lintao Toni Fan	ab 03 / 2023
Embedded systems in brain-computer-interfaces (Eingebettet Systeme für Gehirn-Computer-Schnittstellen)	M. Sc. Marius Gerdes	ab 03 / 2023
Using Brain-Computer Interfaces for Human Vision Research.	Dr.-Ing. Simon Stock	ab 03 / 2023
Using artificial intelligence to detect particle motion in image captures	M. Sc. Lintao Toni Fan	ab 03 / 2023
Measurement method for distance determination with the help of a camera	M. Sc. Lintao Toni Fan	ab 03 / 2023
Development and implementation of an adaptive camera-based measurement system in the field of image processing	M. Sc. Lintao Toni Fan	ab 03 / 2023