Summary
Xiaoqiang Xu is a PhD-trained mechanical engineer with 10 years of hands-on experience applying multiphysics simulation, topology optimization, and computational modeling to thermal and structural challenges across industry and academia. He has driven product-level thermal solutions at Apple, nonlinear crash and structural FEA at Toyota, drivetrain fatigue and digital-twin predictive maintenance at Caterpillar, and now focuses on structural and thermal design for VR wearables at Meta. His research invented dimension-reduction and conformal-geometry-based topology optimization methods that cut computation time and material use while improving heat-sink performance, resulting in 12+ publications and 130+ citations. Equally at ease with high-fidelity FEA/CFD (COMSOL, Abaqus, LS-DYNA, Ansys) and rapid reduced-order models for AR/VR diagnostics, he blends deep simulation expertise with manufacturable design intent. Based in Beijing, he is passionate about practical thermal management for electronics, batteries, and data centers and routinely translates academic advances into product-ready solutions.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE Materials Engineering, Bachelor of Engineering - BE Materials Engineering at Harbin Institute of Technology at Weihai
Doctor of Philosophy - PhD Mechanical Engineering, Doctor of Philosophy - PhD Mechanical Engineering at Stony Brook University
Chinese, English