Summary
Sang-wook Lee is a research scientist with 11 years of experience applying robotics, computer vision, and multi-sensor fusion to real-world and space applications. He has developed image-based phenotyping pipelines using graph theory, integer programming, CNNs and RNNs at KIST, and previously designed robust localization, mapping, and moving-object detection frameworks for UAVs and asteroid scenarios at NASA Ames. His background spans academia and industry—from lecturing and mobile-robot research to leading robot offline-programming and simulation products—bringing both theoretical rigor (Ph.D. in Robotics) and practical systems delivery. Based in Seoul, he combines expertise in hyperspectral/NIR/thermal imaging and Bayesian multi-sensor fusion, with a recurring focus on making autonomous systems reliable in challenging environments. An avowed “robot advocate,” he uniquely bridges plant phenotyping and space-grade autonomy, seeking to put robots on our side across scales from crops to cosmos.
11 years of coding experience
2 years of employment as a software developer
Master’s Degree, Mechanical Engineering, 3.70 / 4.0, Master’s Degree, Mechanical Engineering, 3.70 / 4.0 at Yonsei University
Doctor of Philosophy (Ph.D.), Robotics, 3.43 / 4.3, Doctor of Philosophy (Ph.D.), Robotics, 3.43 / 4.3 at Korea Advanced Institute of Science and Technology
Korean, English