NM
Numair Mansur

Numair Mansur

Senior Applied Scientist at AWS

Working at the intersection of security, automated reasoning, and generative AI. Previously Ph.D. at Max Planck Institute for Software Systems.

About

I am a senior 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 in Kaiserslautern, Germany under the supervision of Prof. Maria Christakis. My Ph.D. research focused on improving software correctness and reliability by making formal methods tools more practical for developers. This work resulted in the detection and fixes of 60+ critical soundness bugs in fundamental program analysis tools such as SMT solvers and Datalog engines.

Selected Publications

Understanding Developer-Analyzer Interactions in Code Reviews

With Martin Schaef, Berk Cirisci, Linghui Luo, Omer Tripp, Daniel Sanchez, Qiang Zhou, and Muhammad Bilal Zafar

ASE 2024

Dependency-Aware Metamorphic Testing of Datalog Engines

With Maria Christakis and Valentin Wüstholz

ISSTA 2023

Input Splitting for Cloud-Based Static Application Security Testing Platforms

With Maria Christakis, Thomas Cottenier, Antonio Filieri, and others

ESEC/FSE 2022

Metamorphic Testing of Datalog Engines

With Maria Christakis and Valentin Wüstholz

ESEC/FSE 2021

Automatically Tailoring Abstract Interpretation to Custom Usage Scenarios

With Benjamin Mariano, Maria Christakis, Jorge A. Navas, and Valentin Wüstholz

CAV 2021

Detecting Critical Bugs in SMT Solvers Using Blackbox Mutational Fuzzing

With Maria Christakis, Valentin Wüstholz, and Fuyuan Zhang

ESEC/FSE 2020

🏆 Best Presentation Award

Semantic Fault Localization and Suspiciousness Ranking

With Maria Christakis, Matthias Heizmann, Christian Schilling, and Valentin Wüstholz

TACAS 2019

Open Source Tools

QueryFuzz

QueryFuzz

Metamorphic testing framework for Datalog engines

stars
Tailor

Tailor

Automatically tailoring abstract interpretation to custom scenarios

stars
STORM

STORM

SMT Testing Over Random Mutations - fuzzing framework for SMT solvers

stars
RoBO

RoBO

Flexible framework for robust Bayesian optimization

stars

Professional Activities