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Won Sang Lee is an expert in the area of technology intelligence, specializing the diasocery of emerging innovations. He received a Ph. D. in Industrial Engineering from Yonsei University in 2016 (Thesis: Large scale triadic patent analysis for predicting technological convergence, identifying its spatial occurrence, and assessing the standardization policy). Prior to joining GWNU, he gained both field and research experiences at NHN Insightlab, SK Telecom, and Yonsei University (Information, ICT etc.), respectively. He taught data analytics and machine learnig to companies.
He published several articles in Journals such as Technovation, Technological Forecasting and Social Change, PLoS One, Computers and Security, and domestic journals. He also served as Reviewer for TFSC, RP, and more. His pioneering framework for identifying and predicting technology convergence has been being frequently cited by following researches. His current research interests include Technometrics and Infometrics. Major teaching areas are Machine/Deep Learning, Data Mining, and Data Analysis related courses. Areas of his current research interests include QML applicable to Data Analytics.
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Researcher
Kim, Ah-Kyung
Graduate Student (Smart Infra Program / Data Science )
Interest: AI education / AI driven marketing
Wah Wah Maw
Graduate Student
Interest: AI education / AI driven marketing
Intern
TBD
Undergraduate Research Intern (2026)
Alumni
Hak Gyoun Oh
Undergraduate Research Intern (2025)
Jiho Kim
Undergraduate Research Intern (2025)
Park, Jeongin
Undergraduate Research Intern (2025)
NaHyeon Kim
Undergraduate Research Intern (2025)
Choi, Leejeong
Undergraduate Research Intern (2024)
Namgung, Shin
Undergraduate Research Intern (2024)
Kim, Ji Min
Undergraduate Research Intern (2022)
Lee, Seo Yeon
Undergraduate Research Intern (2022)