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Mon 14 - Fri 18 November 2022 Singapore
Michael Pradel

Registered user since Fri 18 Jul 2014

Name:Michael Pradel

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, and a sabbatical at Facebook. 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 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), an ERC Starting Grant, four best/distinguished paper awards, and by being named an ACM Distinguished Member.

Affiliation:University of Stuttgart
Research interests:Software Engineering, Programming Languages, Program Analysis, Machine Learning


ESEC/FSE 2022 Chair in Feedback Panel within the Doctoral Symposium-track
Generating Realistic Vulnerabilities via Neural Code Editing: An Empirical Study
DynaPyt: A Dynamic Analysis Framework for Python
Session Chair of Session 2 (part of Doctoral Symposium)
Session Chair of Session 4 (part of Doctoral Symposium)
Doctoral Symposium Chair in Organizing Committee
Semantic Bug Seeding: A Learning-Based Approach for Creating Realistic Bugs
TypeWriter: Neural Type Prediction with Search-Based Validation
Committee Member in Test of Time Award Committee
Session Chair of Session 3 (part of Doctoral Symposium)
Committee Member in Program Committee within the Research Papers-track
Session Chair of Newcomer's Lunch (part of Social)
Session Chair of Session 1 (part of Doctoral Symposium)
Chair in Program Committee within the Doctoral Symposium-track
The Evolution of Type Annotations in Python: An Empirical Study
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ESEC/FSE 2022-profile
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