Bernhard Mitschang

Bernhard Mitschang is a Professor at the Institute of Parallel and Distributed Systems within the Faculty of Computer Science, Electrical Engineering and Information Technology at the University of Stuttgart. His research focuses on data engineering, privacy-preserving technologies, and advanced system architectures. He leads projects on digital twins, data lakes, and blockchain applications, emphasizing practical implementations in industry and healthcare.

Key research interests include:

• Data management systems (data lakes, lakehouses)
• Privacy and security in IoT/automotive systems
• Machine learning for manufacturing and healthcare
• Blockchain integration with regulatory frameworks

His recent work explores adaptive data pipelines for smart vehicles, anonymization techniques in automotive domains, and ensemble clustering methods. Collaborations span industry partnerships in automotive engineering and biotechnology.

Notable contributions include frameworks like LALO for data productization and HySAAD for automotive data anonymization. He also developed the PSSST! privacy system for smart environments and the AMNESIA solution for GDPR-compliant ML.

Labs/Teams: Leads the Parallel and Distributed Systems group, collaborating with industrial partners on CAE data management and IoT interoperability initiatives.