Seongmin Lee

Dr. Seongmin Lee is a researcher at the Max Planck Institute for Security and Privacy, specializing in software security and program analysis. Their work bridges theoretical and practical aspects of software testing, with a particular focus on automated testing techniques, dependency modeling, and genetic improvement.

Research interests include:

• Software Security
• Software Testing and Fuzzing
• Program Analysis and Slicing
• Machine Learning Applications in Software Engineering
• Genetic Algorithms for Code Optimization
• Statistical and Causal Analysis of Code Behavior

Recent publications (2016–2025) demonstrate a trajectory from foundational work on GPU parameter optimization to cutting-edge research on LLM-driven regression testing. Key trends include:

• Statistical modeling of software behavior
• Machine learning for bug classification and optimization
• Approximate analysis techniques for scalability
• Advancements in greybox fuzzing and coverage prediction
• Application of causal inference to mutation testing