Name:Faraz Gurramkonda

Bio:

I am a AI Software Engineer at Great Lakes Civil Services and a researcher at the University of Michigan–Dearborn. My research focuses on software testing, test smell detection, and automation in VR/Unity-based systems, and I also explore how AI and machine learning can advance developer tools and quality assurance. I am the first author of VRTestSniffer, a static analysis tool for detecting test smells in VR projects (ASE 2025 submission). My broader interests span software engineering, artificial intelligence, and scalable automation systems.

Country:United States

Affiliation:University of Michigan-Dearborn

Research interests:Software Testing & Quality Test Smell Detection Virtual Reality (Unity) Artificial Intelligence & Machine Learning Automation & Developer Tools