Since November 2022, I am an applied scientist at Amazon Web Services, working at the intersection of security, automated reasoning, and generative AI. Before joining AWS, I completed my Ph.D. at the Max Planck Institute for Software Systems (MPI-SWS) in Kaiserslautern, Germany under the supervision of Prof. Maria Christakis. The overarching goal of my Ph.D. research was to improve software correctness and reliability by making it easier and practical for developers of all skill levels to incorporate state of the art formal methods tools in their software development workflow. My Ph.D. research resulted in the detection (and fixes) of 60+ critical soundness bugs in fundamental program analysis tools such as SMT solvers and Datalog engines.
👨💻
keep on keeping on
Research Interests: Automatic testing, debugging, formal analysis and verification of complex software systems
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Amazon Web Services
- Berlin, Germany
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10:19
(UTC +01:00) - http://numairmansur.github.io/
- @Numair_Mansur
Highlights
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Practical-Formal-Methods/storm
Practical-Formal-Methods/storm PublicA blackbox mutational fuzzer for detecting critical bugs in SMT solvers
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Practical-Formal-Methods/queryFuzz
Practical-Formal-Methods/queryFuzz PublicQueryFuzz implements a metamorphic testing approach to test Datalog engines.
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ultimate-pa/ultimate
ultimate-pa/ultimate PublicThe Ultimate program analysis framework.
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