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Campus E1 1
66123 Saarbrücken (Germany)

Short Bio

Prof. Bernd Finkbeiner, Ph.D. is a faculty member at the CISPA Helmholtz Center for Information Security and a professor for computer science at Saarland University. He obtained his Ph.D. in 2003 from Stanford University. Since 2003, he leads the Reactive Systems Group, which became part of CISPA in 2020. His research focus is the development of reliable guarantees for the safety and security of computer systems, including specification, program synthesis and repair, and static and dynamic verification. 

CV: Last four stations

2020 - now
Faculty member at CISPA
2006 - now
Professor at Saarland University
2003 - 2006
Junior professor at Saarland University
1996 - 2002
Research assistant at Stanford University

Publications by Bernd Finkbeiner

Year 2017

Conference / Medium

Proceedings Sixth Workshop on Synthesis, SYNT 2017, Heidelberg, Germany, 22nd July 2017.

Conference / Medium

34th Symposium on Theoretical Aspects of Computer Science, STACS 2017, March 8-11, 2017, Hannover, Germany

Conference / Medium

Automated Technology for Verification and Analysis - 15th International Symposium, ATVA 2017, Pune, India, October 3-6, 2017, Proceedings

Conference / Medium

Proceedings of the 24th ACM Conference on Computer and Communication Security (CCS'17)

Conference / Medium

Proceedings 2nd International Workshop on Causal Reasoning for Embedded and safety-critical Systems Technologies, CREST@ETAPS 2017, Uppsala, Sweden, 29th April 2017.

Conference / Medium

Proceedings of the 1st International Workshop on Safe Control of Connected and Autonomous Vehicles, SCAV@CPSWeek 2017, Pittsburgh, PA, USA, April 21, 2017

Conference / Medium

Runtime Verification - 17th International Conference, RV 2017, Seattle, WA, USA, September 13-16, 2017, Proceedings

Teaching by Bernd Finkbeiner


Neural-Symbolic Computing

In this seminar, we will explore new research that shows that deep neural networks are, in fact, able to reason on “symbolic systems”, i.e., systems that are built with symbols like programming languages or formal logics.



This course takes an up-to-date look at the theory and practice of program verification.

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