Summary
Yuanfu Yang is an Assistant Professor at the Institute of Artificial Intelligence Innovation, NYCU, with eight years of industry and research experience at the intersection of computer vision, generative AI, and robotic systems. Previously Head of Robotic AI and Automation at TSMC, he led teams that deployed AI-driven robotic solutions and deep-learning defect inspection methods to optimize semiconductor manufacturing throughput and reliability. His current research develops 2D/3D foundation models for detection, segmentation and reconstruction, explores generative digital twins for simulation and anomaly detection, and bridges Real2Sim/Sim2Real for VLN, VLA and RL-driven robotics. Holding a Ph.D. in AI from National Tsing Hua University and a master’s in industrial engineering, he combines rigorous academic methods with large-scale production experience—unusual for an academic—making him adept at moving models from lab prototypes into factory-ready systems.
8 years of coding experience
Master's degree, Industrial and System Engineering, Master's degree, Industrial and System Engineering at 中原大學
Ph.D. of Electrical Engineering and Computer Science College, International Intercollegiate Ph.D. Program - Artificial Intelligence, Ph.D. of Electrical Engineering and Computer Science College, International Intercollegiate Ph.D. Program - Artificial Intelligence at 國立清華大學