Researcher & Doctoral Candidate · Systems Group · ETH Zurich

Since Autumn 2013, I am a doctoral candidate in the Systems Group at ETH Zürich, working on emerging technologies that have a substantial impact on large-scale data management, distributed data processing, and high-performance computing systems. I am the author of several peer-reviewed publications presented at leading database conferences. My advisors are Prof. Dr. Gustavo Alonso, Prof. Dr. Donald Kossmann, and Prof. Dr. Torsten Hoefler. Prior and during my doctoral studies, I worked with several industry partners on innovative projects to accelerate distributed database systems, make existing processes more efficient, and improve overall business insights.


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ETH Zürich
Zürich, Switzerland
October 2013 — now
Researcher in the Systems Group at ETH Zürich as part of my doctoral studies. My research focuses on distributed data processing on modern hardware and high-performance networks. In addition to research, my duties include teaching activities at the under-graduate and graduate levels.

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Oracle Labs
Belmont, United States of America
March 2014 — September 2014
Internship as a researcher in the research divison of Oracle. Proposed new network scheduling techniques for distributed join and aggregation algorithms in the context of Project Rapid, a hardware-software co-design project targeting large-scale data management and analysis.

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IBM Research
Rüschlikon, Switzerland
October 2012 — January 2013
Internship as a researcher in the European branch of IBM's worldwide research division. Investigated methods for autonomous sensor localization in the context of Project MoteRunner, an infrastructure platform for wireless sensor networks.


Darko Makreshanski, Jana Giceva, Claude Barthels, Gustavo Alonso
BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications
Proceedings of the 2017 ACM SIGMOD International Conference on Management of Data, June 2017 [PDF]  [BibTeX]
Claude Barthels, Gustavo Alonso, Torsten Hoefler
Designing Databases for Future High-Performance Networks
IEEE Data Engineering Bulletin, Volume 40, Issue 1, March 2017 [PDF]  [BibTeX]
Claude Barthels, Ingo Müller, Timo Schneider, Gustavo Alonso, Torsten Hoefler
Distributed Join Algorithms on Thousands of Cores
Proceedings of the VLDB Endowment, Volume 10, Issue 5, January 2017 [PDF]  [BibTeX]
Claude Barthels, Simon Loesing, Gustavo Alonso, Donald Kossmann
Rack-Scale In-Memory Join Processing using RDMA
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, June 2015 [PDF]  [BibTeX]
Simon Mayer, Christian Beckel, Bram Scheidegger, Claude Barthels, Gábor Sörös
Uncovering Device Whispers in Smart HomesDemo Paper
Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia, December 2012 [PDF]  [BibTeX]