Summary
Changyu Meng is a Senior Mechanical Engineer with a PhD in Mechanical Engineering and nine years of experience bridging computational materials science and semiconductor process engineering. He designs and implements high-performance simulation frameworks (C/OpenMP/Intel MKL) for nonlinear material behavior and damage modeling, and has applied machine learning to predict crack initiation from microstructure features. At ASM and previously at Intel and ASU, he combined hands-on experimental work (micro-CT, AM fatigue testing) with automated data systems (SQL reporting, JMP/JSL, OpenCV) to turn complex measurements into actionable insights. His background spans multiscale simulation techniques—where coarse-graining yielded orders-of-magnitude speedups—and practical process optimization in fabs, giving him a rare mix of deep computational skill and production-oriented engineering. Based in Tempe, AZ, he excels at translating advanced modeling into pragmatic solutions for materials and semiconductor challenges.
9 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng, Engineering Mechanics, 3.38, Master of Engineering - MEng, Engineering Mechanics, 3.38 at University of Chinese Academy of Sciences
Doctor of Philosophy - PhD, Mechanical Engineering, 4.0, Doctor of Philosophy - PhD, Mechanical Engineering, 4.0 at Arizona State University
Bachelor of Engineering - BE, Naval Architecture and Marine Engineering, 3.64, Bachelor of Engineering - BE, Naval Architecture and Marine Engineering, 3.64 at Wuhan University of Technology