Gyeongtaek Lee
Assistant Professor Department Of Mechanical, Smart, And Industrial Engineering at Gachon University
Seongnam-si, South Korea
Summary
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Senior🎓
Top SchoolGyeongtaek Lee is an assistant professor and machine learning researcher with nine years of experience specializing in manufacturing data science and reinforcement learning, particularly applied to semiconductor process analytics and fault detection. He holds a PhD in Industrial Engineering from Yonsei University and recently served as a visiting research scientist at Rutgers, bridging academic rigor with industry collaborations at Samsung and SK Hynix. His work spans class-imbalance resampling, feature selection in highly correlated datasets, in-line time-series feature extraction, and explainable AI for FDC, with practical projects including abnormal chamber detection and multi-step yield prediction. A proficient R programmer (advanced) and intermediate Python user, he has won multiple Korean data analysis contests across finance, insurance, semiconductor, and gaming domains. He is also an author of three Korean books on deep learning and reinforcement learning and is actively publishing several semiconductor- and RL-related papers. An unconventional strength is his cross-domain application of RL—from drone path planning to autonomous flight algorithms—to inform robust feature selection and decision-making in manufacturing contexts.
9 years of coding experience
2 years of employment as a software developer
박사, Industrial Engineering, 박사, Industrial Engineering at Yonsei University 연세대학교학사, Statistics, 학사, Statistics at 성균관대학교
Github Skills (6)
keras5
machine-learning4
tensorflow3
prediction1
ensembles1
random-forest1
Programming languages (2)
Github contributions (5)
LeeGyeongTak/Deep-Reinforcement-Learning-using-R
May 2017 - Jun 2019
Contributions:14 commits, 12 pushes, 1 branch in 2 years
LeeGyeongTak/KerasR
Apr 2018 - Jul 2019
Contributions:33 commits, 32 pushes, 1 branch in 1 year 3 months
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