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Address

Universitätsstraße 38
70569 Stuttgart (Germany)

Awards (selection)

2024: ERC Proof of Concept Grant

2022: ACM Distinguished Member

2019: ERC Starting Grant

2013: Ernst-Denert Software Engineering Award

Emmy Noether grant by the German Research Foundation (DFG)

Best/distinguished paper awards at FSE (3x), ISSTA, ASE, ASPLOS, and MSR

Short Bio

Prof. Dr. Michael Pradel is a tenured faculty member at the CISPA Helmholtz Center for Information Security and a full professor at the University of Stuttgart, which he joined after a PhD at ETH Zurich, a post-doc at UC Berkeley, an assistant professorship at TU Darmstadt. He has visited Facebook, UC Berkeley, and UCLA for sabbaticals. His research interests span software engineering, programming languages, security, and machine learning, with a focus on tools and techniques for building reliable, efficient, and secure software. In particular, he is interested in neural-symbolic software analysis, analyzing web applications, dynamic analysis, and test generation. Michael has been recognized through the Ernst-Denert Software Engineering Award, an Emmy Noether grant by the German Research Foundation (DFG), two ERC grants, best/distinguished paper awards at FSE (3x), ISSTA, ASE, ASPLOS, and MSR, and by being named an ACM Distinguished Member.

CV: Last stations

Since 2025
Tenured Faculty at CISPA Helmholtz Center for Information Security
Since 2019
Full Professor at University of Stuttgart, Germany
2014 - 2019
Assistant Professor at TU Darmstadt, Germany
2013 - 2014
Postdoctoral Researcher at University of California, Berkeley, United States
2013
Postdoctoral Researcher at ETH Zurich, Switzerland
2012
PhD at ETH Zurich, Switzerland

Publications by Michael Pradel

Year 2021

Conference / Medium

ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Semantic bug seeding: a learning-based approach for creating realistic bugs

Conference / Medium

ACM SIGSOFT International Symposium on Software Testing and Analysis
Continuous test suite failure prediction

Conference / Medium

ACM SIGSOFT International Symposium on Software Testing and Analysis
Finding data compatibility bugs with JSON subschema checking

Conference / Medium

ACM SIGPLAN International Symposium on Machine Programming
Learning to make compiler optimizations more effective

Conference / Medium

IEEE/ACM 43rd International Conference on Software Engineering (ICSE)
IdBench: Evaluating Semantic Representations of Identifier Names in Source Code

Conference / Medium

the Web Conference
An Empirical Study of Real-World WebAssembly Binaries

Conference / Medium

the ACM/SPEC International Conference on Performance Engineering
ConfProf: White-Box Performance Profiling of Configuration Options

Year 2020

Conference / Medium

IEEE/ACM International Conference on Automated Software Engineering
No strings attached

Conference / Medium

ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
TypeWriter: neural type prediction with search-based validation

Conference / Medium

International Conference on Software Engineering (ICSE)
Extracting taint specifications for JavaScript libraries