Marco Rudolph studied computer science at the Leibniz University Hannover. In 2016 he was awarded by the university the 'Preis des Präsidiums' for his special academic archievements. He attained the master degree in October 2018. In his thesis 'Coding of Human Body Shapes using Neural Networks' he dealt with autoencoders on body meshes.
In November 2018 he started at the TNT to work towards his PhD. The main focus is on image-based anomaly detection for industrial defect detection. This is mostly based on statistical modeling of image features with normalizing flows. Based on his work in this area, he gave a keynote for the workshop "Industrial Machine Learning" at ICPR 2022. As secondary research areas, he deals with human pose estimation and interpretable machine learning.
Mr. Rudolph is also active in teaching for the TNT for several years. In 2021, he was nominated by the Faculty of Electrical Engineering and Computer Science of the LUH for the "APFEL" award for excellent teaching for his supervision of the course "Machine Learning". Furthermore, he has supervised more than 10 final theses and student projects.