I am a researcher and software developer in the field of computer science with a specialization in computer vision. My professional focus ranges from the processing of conventional image data to the analysis of LIDAR data. In general, I am enthusiastic about the topic of localization, but also about general information retrieval from image data.
A central focus of my doctoral thesis deals with the methodologies of “deep learning” in defined application scenarios (e.g. in an industrial context). In addition to the detection and localization of objects and people, the labeling of data using the “human-in-the-loop” method (ie a person works together with an algorithm on a solution to a problem) is examined in more detail.
I received my master’s degree in computer science in 2017 at the Friedrich-Alexander-Universität Erlangen-Nürnberg, and have been working at the chair for machine learning and data analysis on topics in the field of computer vision ever since. Since 2017, I have been doing research in localization in LIDAR data in projects with close industry collaboration. Since 2021, I have been working on the development of a data protection-compliant tracking system for visitor research at the Deutsches Museum Nuremberg in cooperation with the funding partner DATEV.