IML secured the first funding (also Zheng as a PI)

Jan 26, 2026 · 1 min read

IML is happy to share that Zheng secured his first funding (also as a PI).

IML will be diving deep into the world of 3D printed smart tags alongside Professor Xiao Zhang and Professor Jing Tang to push the boundaries of smart manufacturing.

As Zheng grow IML, he is also looking to collaborate with academic and industry partners regarding AI applications in manufacturing, data centers, and energy storage. If you’re in these spaces, let’s chat!

Huge thanks to the University of Michigan Office of the Vice President for Research for the support!

Zheng Liu
Authors
Zheng Liu
Assistant Professor
Zheng Liu joined the University of Michigan-Dearborn Industrial and Manufacturing Systems Engineering Department as an Assistant Professor. His research bridges theoretical and applied aspects of AI in manufacturing and energy systems. He focused on physics-based modeling, physics-informed machine learning, and generative design for manufacturing and energy storage applications. He also evaluated the manufacturing processes through life cycle assessment and techno-economic analysis, helping the team win $1M Department of Energy’s (DOE) inaugural American-Made Geothermal Lithium Extraction Prize. He has collaborated on multiple projects funded by the National Science Foundation (NSF) through the Future Manufacturing Research Grant (FMRG) program, as well as the Office of Naval Research (ONR). In addition, he served as a graduate fellow and STEM outreach coordinator at the NSF Engineering Research Center for Power Optimization for Electro-Thermal Systems (POETS). Zheng has received the Sharp Outstanding Graduate Student Award and the Tau Beta Pi Outstanding Graduate Student Award in recognition of his research contributions. He has published more than 15 peer-reviewed journal articles and 15 conference proceedings, and has served as a track chair for the IEEE Transportation Electrification Conference. Through his work, he continues to push the frontiers of AI-driven innovation in manufacturing and energy systems.