Researcher in AI-Driven Test Automation and Intelligent Quality Engineering
This research program investigates the application of artificial intelligence to improve software testing efficiency and reliability. The goal is to develop intelligent testing platforms capable of predicting software defects, generating automated test scenarios, and optimizing test execution strategies.
The research integrates repository analytics, machine learning prediction models, autonomous test generation frameworks, and continuous testing systems into a unified intelligent quality engineering platform.