Assistant Professor, Department of Industrial and Data Engineering,
Hongik University
(조교수, 산업데이터공학과, 홍익대학교)
Tel: +82 2-320-1795
Email: yongoh.lee AT hongik.ac.kr
Research Area: Computer Vision (Medical Image), Data Augentation with Deep Genearative Models, Chemical Property Prediction, Renewable Energy and Prediction, Predictive Maintenance
Education
Ph.D - Computer Engineering, Texas A&M University, College Station, 2012
M.S. - Electrical Engineering, Yonsei University, South Korea, 2007
B.S. - Electrical Engineering, Yonsei University, South Korea, 2005
Career
Tech and Experience Research Team, Samsung Global Research Institute (Former Samsung Economic Research Institute), 2021 - 2022
Smart Convergence Group, Korea Institute of Science and Technology Europe FmbH, 2016 - 2021
IoT Vertical Solution Lab and Next Generation Communications Team, Samsung DMC R&D Center (Former Samsung Research), 2012~15
"My research area is artificial intelligence applications to various science and engineering fields. In bio-medical domain, I have researched on medical image analysis and chemical compount property prediction. In smart factory domain, I have research on vision inspection and fault diagnosis/prognostics. Mainly, data augmentation using generative adversarial networks are utilized for data imbalance problmes that frequently occurs in new AI application area. Currently, I broaden the application area to water resource management and renewable energy plant management. "