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Email

Address

Boltzmannstr. 3
85748 Munich (Germany)

Awards (selection)

2026: Test-of-Time Award

2022: ERC Advanced Grant for "HYPER"

2021: Busy Beaver Award for "Programming I"

Short Bio

Prof. Bernd Finkbeiner is a faculty at the CISPA Helmholtz Center for Information Security and a professor at Technical University of Munich. 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 stations

Since 2020
Faculty at CISPA Helmholtz Center for Information Security
Since 2025
Professor at Technical University of Munich
2006 - 2025
Professor at Saarland University
2003 - 2006
Junior professor at Saarland University
1996 - 2002
Research assistant at Stanford University

Publications by Bernd Finkbeiner

Year 2026

Conference / Medium

International Conference on Foundations of Software Science and Computation Structures (FoSSaCS) Complexity of Model Checking Second-Order Hyperproperties on Finite Structures.

Conference / Medium

Computer Aided Verification (CAV) Differentially Private Runtime Monitoring

Conference / Medium

International Conference on Runtime Verification (RV) FairMon: A Tool for Monitoring and Visualizing Algorithmic Fairness

Conference / Medium

International Conference on Runtime Verification (RV) Cutting Corners on Uncertainty: Zonotope Abstractions for Stream-Based Runtime Monitoring

Book section

Trace Repair for Temporal Behavior Trees

Book section

Dominant Strategies for Hyperproperties

Conference / Medium

Formal Methods (FM) Pacing Types for Asynchronous Stream Equations

Year 2025

Article

Acta Informatica Symbolic execution for refuting ∀∃ hyperproperties

Article

Acta Informatica Explainability requirements as hyperproperties

Conference / Medium

International Conference on Principles of Knowledge Representation and Reasoning (KR) An Information-Flow Perspective on Explainability Requirements: Specification and Verification