홍석원 Email & Phone Number

Ph.D. in Management Engineering8+ years of data analytic experience for technology management and business applications using structured and unstructured data sources, such as intellectual property data (patent, trademark, and design), e-commerce product data, and nuclear powerplant data8+ years of research and development experience using machine learning, deep learning, data mining methods8+ years of experience with data analytic programming languages, including Python, R, and ML and DL frameworks (e.g. Pytorch, Scikit-learn, Keras)Interested in exploring business implications and insights via data analysisInterested in developing new analytical frameworks to solve business problems| Publications |- Kim, J., Hong, S., Kang, Y., and Lee, C.* (2023), Domain-specific valuation of university technologies using bibliometrics, Jonckheere-Terpstra tests, and data envelopment analysis, Technovation, 122, 102664. (SSCI)- Hong, S. and Lee, C.* (2023), Effective indexes and classification algorithms for supervised link prediction approach to anticipating technology convergence: A comparative study, IEEE Transactions on Engineering Management, 70(4), 1430–1441. (SSCI)- Hong, S., Kim, J.*, Woo, H., Kim, Y., and Lee, C.* (2022), Screening ideas in the early stages of technology development: A word2vec and convolutional neural network approach, Technovation, 112, 102407. (SSCI)- Lee, C.*, Hong, S., and Kim, J. (2021), Anticipating multi-technology convergence: A machine learning approach using patent information, Scientometrics, 126(3), 1867–1896. (SSCI)- Kim, H., Hong, S., Kwon, O., and Lee, C.* (2017), Concentric diversification based on technological capabilities: Link analysis of products and technologies, Technological Forecasting and Social Change, 118, 246–257. (SSCI)| Projects |- 2023 - : 지정상품간 유사도 측정 방법론 개발, 한국지식재산연구원- 2022 - 2023: 재단 디지털 플랫폼 구축을 위한 핵심 서비스 모형 개발, 한국연구재단- 2021 - 2022: 설명 가능한 인공지능 기반의 유망기술 가치평가 방법론 개발 및 주요 요인 파악- 2021 – 2022: Market-making 전략 수립을 위한 딥러닝 모델 개발, 한화투자증권- 2021 – 2021: 특허, 상표, 디자인을 포함하는 IP 통합 빅데이터 연관 분석 연구, 특허청- 2021 – 2021: 상담 대화 분류 모델 및 쇼핑 상품 분류 모델 개발, KTH- 2018 - 2023: 머신러닝 방법론을 활용한 특허 포트폴리오 관리, 한국연구재단- 2017 - 2018: 인공지능 기반 원전 기동 및 정지 운전지원 기술개발, 한국수력원자력| Awards and Scholarship |- Global Ph.D. Fellowship, National Research Foundation, Korea, 2018| Teaching |Lecturing Data Analytics at Korea University- 모델링 이론 (Graduate, Spring, 2023) - in KoreanLecturing MS offices at Ulsan National Institute of Science and Technology- Business IT (Undergraduate, Spring, 2017) - in English