Summary
Cheng is a Senior AI Scientist with 11+ years building applied 3D vision and imaging systems across startups, industry labs and device vendors, currently focused on semantic facial animation and RGB‑D virtual human production. He has led end‑to‑end projects from sensor calibration and ToF/RGB‑ToF module development to 3D object detection, pose estimation and robot task scheduling using graph models and optimization. His work earned a CES Innovation Award and demonstrates a rare blend of deep algorithmic research (3D DNNs, autoencoders, 3DMM) and hands‑on productization for camera modules and industrial automation. Cheng’s background spans bioinformatics graduate study to PhD candidacy in computer science, reflecting a cross‑disciplinary approach that informs robust, data‑driven solutions. Notably, he has solved practical challenges such as flying‑pixel correction, synthetic dataset generation for Linemod‑style pose estimation, and genetic‑algorithm based object clustering for random bin picking.
11 years of coding experience
13 years of employment as a software developer
Ph.D candidate, Computer Science, Ph.D candidate, Computer Science at National Chiao Tung University
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at NTOU (Unofficial)
Master's degree, Bioinformatics, Master's degree, Bioinformatics at National Yang Ming University
English, Chinese, German