Maximilian Schier studied Computer Science at Leibniz University Hannover. He completed his master thesis on the topic of Deep Image Clustering in July 2021. His current research focuses on Reinforcement Learning and dynamic representations, e.g. graphs, but he is also involved with projects on panoptic segmentation of bio-medical images.
If you are interested in a thesis regarding above topics, do not hesitate to contact me. As inspiration for for example a bachelor thesis, here is a toy problem of a Soft Actor-Critic Reinforcement Learning agent controlling a vehicle End-to-End (sensors to actuators):
