Summary
Chia-yen Lee is a professor and operations research expert with eight years of academic experience and a deep industry background in semiconductor capacity planning from TSMC. He leads the Productivity Optimization Lab, applying stochastic optimization, data mining, and productivity analysis to intelligent manufacturing, energy economics, and yield improvement challenges. His work bridges theory and practice—spanning genetic algorithms for scheduling, DEA-based efficiency studies, and decision support systems for new fab scheduling—reflecting a rare blend of rigorous PhD training and hands-on engineering. Based in Tainan, Taiwan, he has collaborated across academia and industry on projects that translate complex stochastic models into actionable capacity and manpower plans. Less obvious: he combines quantitative rigor from mathematical sciences with practical information-systems know-how, enabling solutions that are both analytically robust and operationally implementable.
8 years of coding experience
9 years of employment as a software developer
B.S., Mathematical Sciences, B.S., Mathematical Sciences at National Chengchi University
Ph.D., Industrial and Systems Engineering, Ph.D., Industrial and Systems Engineering at Texas A&M University
M.S., Industrial Engineering and Engineering Management, M.S., Industrial Engineering and Engineering Management at National Tsing Hua University
Chinese, English