Summary
Zheng Liu is an Assistant Professor at University of Michigan–Dearborn and a recent Ph.D. from UIUC who blends physics-based modeling, physics-informed machine learning, and generative design to tackle manufacturing and energy system challenges. Over a decade of cross-disciplinary experience spans battery thermal management, additive manufacturing, recyclability life-cycle assessment, and AI-enabled digital twins, with work that helped secure a $1M DOE prize and multiple NSF and ONR projects. He builds multi-fidelity surrogate models and integrates PDE backbones with deep learning to deliver uncertainty-aware, reliability-based design solutions that are both computationally efficient and experimentally grounded. A hands-on experimentalist earlier in his career, he designed complex setups for battery cooling and novel 3D-printing resins, which informs his practical approach to AI research. Active in outreach and academic service, Zheng also brings proven teaching and mentorship experience and has published extensively across journals and conferences.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Mechanical Engineering, Master of Science - MS, Mechanical Engineering at Cornell University
Doctor of Philosophy - PhD, Major: Systems and Entrepreneurial Engineering; Minor: Statistics, Doctor of Philosophy - PhD, Major: Systems and Entrepreneurial Engineering; Minor: Statistics at University of Illinois Urbana-Champaign
English, Chinese