
Registered user since Fri 18 Jul 2014
Michael Pradel is 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 neuro-symbol 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.
Contributions
2025
ESEC/FSE
- Research Productivity and Time Management
- Speaker in Program Committee within the New Faculty Symposium-track
- An Empirical Study of Suppressed Static Analysis Warnings
- Committee Member in Program Committee within the Research Papers-track
- Committee Member in Steering Committee
- DyLin: A Dynamic Linter for Python
- ChangeGuard: Validating Code Changes via Pairwise Learning-Guided Execution