Erhard Rahm

Prof. Dr. Erhard Rahm is a leading computer science academic at the University of Leipzig, affiliated with the Institute of Computer Science under the Faculty of Mathematics and Computer Science. With over 35 years of research contributions, he specializes in scalable data integration, privacy-preserving record linkage (PPRL), and graph analytics for knowledge graphs and digital twins.

• Key research areas: Data Integration for Knowledge Graphs, Privacy-Preserving Data Analysis, Dynamic Graph Management
• Recent work focuses on hybrid digital twins, medical image analysis, and secure health data processing
• 2016-2021: Speaker of GI's Database Systems and Information Systems division

Scientific Contributions:
His 15 most recent publications (2023-2025) span:

• Privacy-preserving machine learning (federated learning, PPRL with LLMs)
• Graph-based data transformations (Temporal Knowledge Graphs, Property Graph Streams)
• Automated schema matching and entity resolution systems
• Biomedical data applications (cell confluence assessment, stress detection)

Selected Honors:

• VLDB Ten-Year Best Paper Award (2011)
• ICDE Influential Paper Award (2013)
• MSR Outstanding Collaborator Award (2016)

Leadership Roles:
Currently Vice President of the Gesellschaft für Informatik (since 2022), former DFG reviewer (2016-2024), and active in NFDI infrastructure (2019-2022). He leads research at ScaDS.AI, focusing on big data integration and scalable graph analytics.