Liming Zhu

Why they're in the Luvo100

Zhu co-developed practical approaches to engineering trustworthy AI systems, including responsible-AI patterns and assurance guidance. The software-quality contribution is translating abstract principles into design and evaluation practices, with current institutional evidence connecting the work to public-sector assurance initiatives.