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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 2018

Conference / Medium

CSF
2018 IEEE 31st Computer Security Foundations Symposium (CSF)

Conference / Medium

ATVA
Automated Technology for Verification and Analysis - 16th International Symposium, ATVA 2018, Los Angeles, CA, USA, October 7-10, 2018, Proceedings

Conference / Medium

CAV
Computer Aided Verification

Conference / Medium

TACAS
Tools and Algorithms for the Construction and Analysis of Systems

Conference / Medium

CAV
Computer Aided Verification

Conference / Medium

ATVA
Automated Technology for Verification and Analysis - 16th International Symposium, ATVA 2018, Los Angeles, CA, USA, October 7-10, 2018, Proceedings

Year 2017

Conference / Medium

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

Conference / Medium

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

Conference / Medium

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

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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