Ruben Mayer
Scholar

Ruben Mayer

Google Scholar ID: ex-eO0UAAAAJ
University of Bayreuth
Distributed SystemsData ManagementMachine Learning
Citations & Impact
All-time
Citations
3,100
 
H-index
21
 
i10-index
34
 
Publications
20
 
Co-authors
35
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Area Chair ICDE 26 & Reviewer NeurIPS 25; Associate Editor for PVLDB Volume 19 (VLDB 2026); VLDB Paper Accepted.
Research Experience
  • Currently a professor of computer science at the University of Bayreuth, heading the Chair of Data Systems since March 2023; also a guest professor at Technical University of Munich (TUM). Previously, an interim professor leading the Chair for Data Engineering at TUM Campus Heilbronn, and before that, led the Chair for Application and Middleware Systems at TUM as an interim professor, after working there as a post-doctoral researcher together with Prof. Hans-Arno Jacobsen.
Education
  • PhD from the University of Stuttgart (Advisor: Prof. Kurt Rothermel). During his doctoral studies, he was a guest researcher in the Embedded Pervasive Lab of Prof. Umakishore Ramachandran at Georgia Institute of Technology, Atlanta, GA, USA.
Background
  • Research interests include distributed/decentralized information systems and data management, with a particular focus on improving the efficiency of machine learning systems. The team's focus areas are federated learning and graph neural networks. Recently, also exploring interdisciplinary aspects of machine learning and law.