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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 2020

Conference / Medium

ATVA
LNCS, Volume 1230218th International Symposium on Automated Technology for Verification and Analysis, ATVA 2020

Conference / Medium

ATVA
Lecture Notes in Computer ScienceAutomated Technology for Verification and Analysis - 18th International Symposium, ATVA 2020, Hanoi, Vietnam, October 19-23, 2020, Proceedings

Conference / Medium

RV
Runtime VerificationRV 2020

Conference / Medium

RV
Runtime Verification - 20th International Conference20th International Conference on Runtime Verification

Conference / Medium

CAV
Computer Aided Verification - 32nd International Conference, CAV 2020, Los Angeles, CA, USA, July 21-24, 2020, Proceedings, Part II

Conference / Medium

MT-CPS
MT-CPS5th Workshop on Monitoring and Testing of Cyber-Physical Systems

Article

International Journal on Software Tools for Technology Transfer

Conference / Medium

CAV
Computer Aided Verification - 32nd International Conference, CAV 2020, Los Angeles, CA, USA, July 21-24, 2020, Proceedings, Part II

Conference / Medium

CAV
Computer Aided Verification - 32nd International Conference, CAV 2020, Los Angeles, CA, USA, July 21-24, 2020, Proceedings, Part II

Year 2019

Article

ACM Trans. Embed. Comput. Syst.

Teaching by Bernd Finkbeiner

2020

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.

2019/20

Verification

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

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