Sascha Rank

Sascha Rank is a Ph.D. student and research associate at the Chair of Information Infrastructures, Technical University of Munich (TUM), Heilbronn, working under Prof. Ali Sunyaev. His research bridges machine learning, distributed systems, and healthcare applications with emphasis on ethical AI implementation.

His academic background includes:

• Ph.D. candidate since February 2021 (Karlsruhe Institute of Technology)
• M.Sc. in Industrial Engineering and Management (2018-2020, Karlsruhe Institute of Technology)
• B.Sc. in Industrial Engineering and Management (2013-2018, Karlsruhe Institute of Technology)

Rank's research centers on Machine Learning and Gamification, with deep expertise in federated learning architectures, collaborative distributed systems, and medical AI applications. His work addresses critical challenges in privacy-preserving computation, healthcare gamification frameworks, and ethical AI deployment, often combining theoretical rigor with practical healthcare use cases through projects like FLAIROP (Federated Learning for Robotic Picking).

Publication analysis reveals a strong trajectory toward healthcare-integrated machine learning, evolving from foundational gamification studies (2021) to advanced distributed systems toolboxes (2023) and comprehensive survey work (2024). His research consistently targets real-world implementation barriers in medical AI and intralogistics while developing standardized frameworks for ethical development.

No scientific awards were documented in available sources.

Current information indicates no formal student advisement or principal investigator roles in research grants.

Rank operates within TUM's Critical Information Infrastructures research group, which explores blockchain systems, autonomous driving safety, and collaborative machine learning through projects like FLAIROP. The group actively develops ethically aligned frameworks for decentralized applications and harm mitigation in autonomous systems, with strong industry connections evident through thesis topics and corporate collaborations.