Professional Projects

Image-Miner

In Image-Miner we are learning causal relations from artificially generated high-dimensional production line data. For this we designed image generator functions that generate images based on a DAG where causal relations are known. We learn the causal relations between the images back from the images/ timeseries data using a two step approach of dimensionality reduction and causal discovery algorithms. This research serves to establish concepts applicable to real-world production lines. Manufacturers are particularly eager to pinpoint aspects within their production data, that influence whethera part is classified as OK or NOK.

Lineflow

In our project Lineflow, we are developing a flexible and extensible Python framework for simulating production lines. Our simulation can be controlled by an AI. The production line with the state of the cells and the parts as well as We use our framework to train an AI (Agent) using Reeinforcement Learning, which automatically optimizes this production line towards a metric i.e. produced parts. The framework will be opensourced on my GitHub soon.

Masterthesis

My Masters thesis, also under the supervision of Tobias Windisch, focused on the optimization of production lines at Robert Bosch GmbH. I created a production line simulation using Python allowing me to simulate and predict potential line jams in advance using machine learning.

Teaching

Furthermore, I am actively involved in academia, where I have the privilege of supervising students in a lecture dedicated to the use of AI in production systems.

University Projects

Development of a Inbuild LED visualization for a Driving Simulator

Together in a team of four students, we created a navigation system based on Automotive Grade Linux (AGL). My personal main work was the implementation of the visualization of Navigation Outputs for the driver via a LED Matrix build into the dashboard. For more information, please have a look at my GitHub

Creation of a Futuristic Projection of an Automotive Infotainment System in Year 2030

In this project, our team consisting of three students created a concept of an automotive UI in year 2030 based on state-of-the-art literature research. In order to present our research results and our prototype “Casey”, we created a project website. In this section, you can see a short screencast delivering an introduction to our website.

My personal focus of this project was researching on the adaption of automotive UIs to the Chinese market. Based on that research, I anticipated novel interaction techniques and UI functions for the Chinese-market in year 2030.

Further University Projects

The projects mentioned above are only a selection among several university projects. Other projects focused on face detection, face recognition and emotion analysis or the detection and quantification of destroyed buildings from sattelite imagery.

Personal Projects

Bantolo

When I find the time I develop a platform called Bantolo where children who otherwise do not find interest in writing can interactively generate their own book using LLMs and Image Generation models.