AI reliability
Robustness, correctness, and failure analysis of machine learning and LLM-based systems.
System Trustworthiness and AI Reliability
Building computing systems people can trust.
STAR Lab at George Mason University studies how to make AI models, the software they write, and the systems they run on reliable, secure, and correct.
Research
Software engineering
Testing, analysis, and repair of software, both for AI systems and using AI.
System security
Finding and preventing vulnerabilities in real-world software and infrastructure.
ML systems
Efficient and dependable infrastructure for training and serving models.
People
Director
SC
Simin Chen
Assistant Professor, Computer Science
PhD students
S
Student Name
PhD student · research topic
News
- The STAR Lab website is live, with our new Polaris logo.
Join us
We are looking for motivated PhD students, master's students, and undergraduates interested in trustworthy AI, software engineering, and systems. If you'd like to work with us, email Simin Chen with your CV and a short note about the problems that excite you.
Get in touch