이창용 (Changyong Lee), 李昌庸
- Position
- Professor
- Phone Number
- 02-3290-2278
- Research Areas
- Policy informatics, digital transformation, technology management and policy, and applied machine and deep learning
- Office
- Room 309, College of Political Science and Economics
- Degree
- Ph.D. in Industrial Engineering, Seoul National University
- changyonglee@korea.ac.kr
Education
-
2011. 08.: Ph.D. in Industrial Engineering, Seoul National University, Korea 2005. 02.: B.A. in Computer Science, KAIST, Korea
Professional Experience and Awards
-
<Professional Experience> 2022. 09. – Present: Professor, Department of Public Administration, Korea University, Korea. 2020. 03. – 2022. 08.: Associate Professor, Professor, Graduate School of Management of Technology, Sogang University, Korea 2013. 07. – 2020. 02.: Assistant Professor, Associate Professor, School of Business Administration, Ulsan National Institute of Science and Technology, Korea 2013. 01. – 2013. 06.: Senior Researcher, Korea Institute of Science and Technology Information, Korea 2011. 11. – 2012. 10.: Visiting Researcher, University of Cambridge, United Kingdom <Technology Transfer> 2021. 06.: System for assessing the novelty and value of technological ideas using machine learning models, PatMonster, Korea 2021. 09.: System for identifying potential areas for concentric diversification using machine learning models, Seed & Partners, Korea <Research Projects> 2022. 01. – 2022. 10.: Development of deep learning models for abnormality detection in power distribution lines, NemoSys, Korea 2021. 04. – 2022. 04.: Development of deep learning models for establishing market-making strategies, Hanwha Investment and Securities Co., Korea 2021. 06. – 2021. 12.: Development of machine learning models for detecting defective products using noise sensor data, LG Electronics, Korea 2021. 06. – 2021. 11.: Development of a concordance table for integrated IP analytics: Linkages among patent, trademark, and design classification codes, Korean Intellectual Property Office, Korea 2021. 01. – 2021. 02.: Development of deep learning models for product classification using online shopping data, KTH, Korea 2020. 12 – 2021. 02.: Identification of external databases for technology valuation, Korea Technology Finance Corporation, Korea 2020. 03. – 2020. 09.: Capacity-fading behavior analysis for early detection of unhealthy batteries, Hyundai NGV, Korea <Patents> Lee, C., Park, Y., and Song, B., Apparatus and method for assessing patent infringement risks based on semantic patent claim analysis, Korea Patent Office, 1012694410000. Lee, C., Park, Y., and Cho, Y., Apparatus and method for assessing future technological impacts of patents based on stochastic patent citation analysis, Korea Patent Office, 1012781350000. Lee, C., New service opportunity analysis system and method thereof, Korea Patent Office, 1016180570000. Kwon, O., Lee, C., Kim, J., Noh, K., Apparatus for technology life analysis using multiple patent indicators, Korea Patent Office, 1016291780000. Lee, C., Kim, J., and Kim, S., Method for prediction of converging technologies using link analysis, Korea Patent Office, 1020322580000. Lee, C. and Kim, Y., An electronic device including evaluation operation of university-originated technology, Korea Patent Office, 1020200004962. Lee, C. and Ahn, J., Analysis method and device for each product of patent documents, Korea Patent Office, 1020210001395.
Undergraduate/Graduate Courses
-
Introduction to Porgramming for Policy Informatics, Machine Learning Technology and Administrative Innovation, Data analytics and Public Decision Making, Policy Informatics
Journal Articles
-
Google Scholar (https://scholar.google.com/citations?user=RjoAf88AAAAJ&hl=ko&oi=ao) <국제학술지> * Corresponding author - Jeon, D., Lee, J., Ahn, J., and Lee, C.* (2023), Measuring the novelty of scientific publications: A fastText and local outlier factor approach, Journal of Informetrics, 17(4), 101450. (SSCI) - Lee, G., Lee, S., and Lee, C.* (2023), Inventor-licensee matchmaking for university technology licensing: A fastText approach, Technovation, 125, 102765. (SSCI) - Lee, G., Kwon, D., and Lee, C.* (2023), A convolutional neural network model for SOH estimation of Li-ion Batteries with Physical Interpretability, Mechanical Systems and Signal Processing, 188, 110004. (SCI) - 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.* (forthcoming), Effective indexes and classification algorithms for supervised link prediction approach to anticipating technology convergence: A comparative study, IEEE Transactions on Engineering Management. (SSCI) - Kim, J., Hong, S., Kang, Y., and Lee, C.* (forthcoming), Domain-specific valuation of university technologies using bibliometrics, Jonckheere-Terpstra tests, and data envelopment analysis, Technovation. (SSCI) - Lee, G., Kwon, D., and Lee, C.* (forthcoming), A convolutional neural network model for SOH estimation of Li-ion Batteries with Physical Interpretability, Mechanical Systems and Signal Processing. (SCI) - Choi, J., Lee, C., and Yoon, J.* (2023), Exploring a technology ecology for technology opportunity discovery: A link prediction approach using heterogeneous knowledge graphs, Technological Forecasting and Social Change, 186, 122161. (SSCI) - Kim, J., Lee, G., Lee, S., and Lee, C.* (2022), Towards successful expert-machine collaborations for technology valuation: An interpretable machine learning approach, Technological Forecasting and Social Change, 183, 121940. (SSCI) - Min, K., Lee, C., and Kim, Y.* (2022), The impact of the timing of patent allowance on technology licensing performance: Evidence from university invention commercialization, R&D Management, 52(4), 633–649. (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, G., Kim, J., and Lee, C.* (2022), State of health estimation of Li-ion batteries in the early phase of qualification tests: An interpretable machine learning approach, Expert Systems with Applications, 197, 116817. (SCI) - Jeon, D., Ahn, J., Kim, J.*, and Lee, C.* (2022), A doc2vec and local outlier factor approach to measuring the novelty of patents, Technological Forecasting and Social Change, 174, 121294. (SSCI) - Kim, Y., Ahn, J.M., Kwon, O., and Lee, C.* (2021), Valuation of university-originated technologies: A predictive analytics approach, IEEE Transactions on Engineering Management, 68(6), 1813–1825. (SSCI) - Lee, C.* (2021), A review of data analytics in technological forecasting, Technological Forecasting and Social Change, 166, 120646. (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) - Lee, G., Lee, S.*, and Lee, C.* (2021), A convolutional neural network model for abnormality diagnosis in a nuclear power plant, Applied Soft Computing, 99, 106874. (SCI) - Lee, C., Jo, S., Kwon, D*, and Pecht, M. (2021), Capacity-fading behavior analysis for early detection of unhealthy Li-ion batteries, IEEE Transactions on Industrial Electronics, 68(3), 2659–2666. (SCI) - Yoon, J., Kim, M., Jeong, B., and Lee, C.* (2021), An information entropy and latent Dirichlet allocation approach to noise patent filtering, Advanced Engineering Informatics, 45, 121243. (SCI) - Lee, C.*, Jeon, D., Ahn, J., and Kwon, O. (2020), Navigating a product landscape for technology opportunity analysis: A word2vec approach using an integrated patent-product database, Technovation, 96–97, 102140. (SSCI) - Kim, J.M., Lee, G., Lee, C.*, and Lee, S.J.* (2020), Abnormality diagnosis model for nuclear power plants using two-stage gated recurrent units, Nuclear Engineering and Technology, 52(9), 2009–2016. (SCIE) - Lee, G., Kim, D., and Lee, C.* (2020), A sequential pattern mining approach to identifying potential areas for business diversification, Asian Journal of Technology Innovation, 28(1), 21–41. (SSCI) - Kwon, O., An, Y., Kim, M., and Lee, C.* (2020), Anticipating technology-driven industry convergence: Evidence from large-scale patent analysis, Technology Analysis and Strategic Management, 32(4), 363–378 (SSCI) - Lee, S., Lee, H., and Lee, C.* (2020), Open innovation at the national level: Towards a global innovation system, Technological Forecasting and Social Change, 151, 119842. (SSCI) - Lee, C.* and Lee, G. (2019), Technology opportunity analysis based on recombinant search: Patent landscape analysis for idea generation, Scientometrics, 121(2), 603–632. (SSCI) - Woo, H., Yum, J., and Lee, C.* (2019), Screening early stage ideas in technology development processes: A text mining and k-nearest neighbours approach using patent information, Technology Analysis and Strategic Management, 31(5), 532–545. (SSCI) - Kim, J., Kim, S., and Lee, C.* (2019), Anticipating technological convergence: Link prediction using Wikipedia hyperlinks, Technovation, 79, 25–34. (SSCI) - Lee, J., Kwon, D.*, Kim, N., and Lee, C. (2019), PHM-based wiring system damage estimation for near zero downtime in manufacturing facilities, Reliability Engineering and System Safety, 184, 213–218. (SCI) - Lee, C. and Kwon, D.* (2018), A similarity based prognostics approach for real time health management of electronics using impedance analysis and SVM regression, Microelectronics Reliability, 83, 77–83. (SCI) - Gang, K., Lee, C., and Woo, H. (2018), The transformation of ownership structure and changes in principal-principal conflicts: Evidence from corporate governance reforms in South Korea, International Journal of Corporate Governance, 8(3/4), 281–301. - Lee, C.*, Kwon, O., Kim, M., and Kwon, D. (2018), Early identification of emerging technologies: A machine learning approach using multiple patent indicators, Technological Forecasting and Social Change, 127, 291–303. (SSCI) - Kim, J. and Lee, C.* (2017), Novelty-focused weak signal detection in futuristic data: Assessing the rarity and paradigm unrelatedness of signals, Technological Forecasting and Social Change, 120, 59–76. (SSCI) - Kim, J. and Lee, C.* (2017), Stochastic service life cycle analysis using customer reviews, Service Industries Journal, 37(5/6), 296–316. (SSCI) - Jang, H., Woo, H., and Lee, C.* (2017), Hawkes process-based technology impact analysis, Journal of Informetrics, 11(2), 511–529. (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) - Lee, C.*, Kim, J., Noh, M., Woo, HG., and Gang, K. (2017), Patterns of technology life cycles: Stochastic analysis based on patent citations, Technology Analysis and Strategic Management, 29(1), 53–67. (SSCI) - Song, B., Yoon, B., Lee, C., Park, Y.* (2017), Development of a service evolution map for service design through application of text mining to service documents, Research in Engineering Design, 28(2), 251–273. (SCIE) - Song, B., Lee, C., Yoon, B., and Park, Y.* (2016), Diagnosing service quality using customer reviews: An index approach based on sentiment and gap analyses, Service Business, 10(4), 775–798. (SSCI) - Lee, C., Kim, J., and Lee, S.* (2016), Towards robust technology roadmapping: How to diagnose the vulnerability of organisational plans, Technological Forecasting and Social Change, 111, 164–175. (SSCI) - Lee, C.*, Kim, J., Kwon, O., and Woo, H. (2016), Stochastic technology life cycle analysis using multiple patent indicators, Technological Forecasting and Social Change, 106, 53–64. (SSCI) - Lee, C. and Lee, H.* (2015), Novelty-focussed document mapping to identify new service opportunities, Service Industries Journal, 35(6) 345–361. (SSCI) - Son, C., Lee, C., Yoon, B., and Park, Y.* (2015), GTM-based service map to identify new service opportunities, International Journal of Mobile Communications, 13(2), 113–135. (SSCI) - Lee, C., Song, B., and Park, Y.* (2015), An instrument for scenario-based technology roadmapping: How to assess the impacts of future changes on organisational plans, Technological Forecasting and Social Change, 90, 285–301. (SSCI) - Lee, C., Kang, B., and Park, Y.* (2015), Novelty-focused patent mapping for technology opportunity analysis, Technological Forecasting and Social Change, 90, 355–365. (SSCI) - Shin, J., Coh, B-Y., and Lee, C.* (2013), Robust future-oriented technology portfolio: Black-Litterman approach, R&D Management, 43(5), 409–419. (SSCI) - Lee, C., Son, C., Yoon, B., and Park, Y.* (2013), An instrument for discovering new mobile service opportunities, International Journal of Mobile Communications, 11(4), 374–392. (SSCI) - Lee, C., Park, H., and Park, Y.* (2013), Keeping abreast of technology-driven business model evolution: A dynamic patent analysis approach, Technology Analysis and Strategic Management, 25(5), 487–505. (SSCI) - Shin, J., Shin, W., and Lee, C.* (2013), An energy security management model using quality function deployment and system dynamics, Energy Policy, 54(1), 72–86. (SSCI) - Lee, C., Song, B., and Park, Y.* (2013), How to assess patent infringement risks: A semantic patent claim analysis using dependency relationships, Technology Analysis and Strategic Management, 25(1), 23–38. (SSCI) - Song, B., Lee, C., and Park, Y.* (2013), Assessing the risks of service failures based on ripple effects: A Bayesian network approach, International Journal of Production Economics, 141(2), 493–504. (SCIE) - Lee, C., Song, B., and Park, Y.* (2012), Design of convergent product concepts using online community information: An association rule mining and decision tree approach, Expert Systems with Applications, 39(10), 9534–9542. (SCIE) - Lee, C., Cho, Y., Seol, H., and Park, Y.* (2012), A stochastic patent citation analysis approach to assessing future technological impacts, Technological Forecasting and Social Change, 79(1), 16–29. (SSCI) - Lee, C., Lee, H., Seol, H., and Park, Y.* (2012), Evaluation of new service concepts using rough set theory and group analytic hierarchy process, Expert Systems with Applications, 39(3), 3404–3412. (SCIE) - Jeon, J., Lee, C., and Park, Y.* (2011), How to use patent information to search potential technology partners in open innovation, Journal of Intellectual Property Rights, 16(5), 385–393. (SSCI) - Kim, C., Lee, H.*, Seol, H., and Lee, C. (2011), Identifying core technologies based on technological cross-impacts: An association rule mining (ARM) and analytic network process (ANP) approach, Expert Systems with Applications, 38(10), 12559–12564. (SCIE) - Lee, C., Jeon, J., and Park, Y.* (2011), Monitoring trends of technological changes based on the dynamic patent lattice: A modified formal concept analysis approach, Technological Forecasting and Social Change, 78(4), 690–702. (SSCI) - Yoon, B.*, Lee, C., Hwang, J. (2011), A framework for impact analysis of the international transfer of marine technology in a climate change era: An input-output analysis and analytic hierarchy process approach, Asian Journal of Technology Innovation, 19(1), 1–20. (SSCI) - Lee, C., Song, B., and Park, Y.* (2009), Generation of new service concepts: A morphology analysis and genetic algorithm approach, Expert Systems with Applications, 36(10), 12454–12460. (SCIE) - Lee, S., Yoon, B.*, Lee, C., and Park, J. (2009), Business planning based on technological capabilities: Patent analysis for technology-driven roadmapping, Technological Forecasting and Social Change, 76(6), 769–786. (SSCI) - Lee, H., Lee, C., Seol, H., and Park, Y.* (2008), On the R&D priority setting in technology foresight: A DEA and ANP approach, International Journal of Innovation and Technology Management, 5(2), 201–220. - Seol, H., Kim, C., Lee, C., and Park, Y.* (2007), Design process modularization: Concept and algorithm, Concurrent Engineering – Research and Applications, 15(2), 175–186. (SCI) <Domestic Journal> * Corresponding author - 이창용 (2023), 인공지능의 개념 및 공공부문 활용 사례: 주요 접근법 소개 및 향후 연구 방향에 대한 제언, 한국행정학보, 57(3), 395-425. (KCI) - 안준모, 문성욱, 이창용* (2022), 인텔리전트 규제: 인공지능을 활용한 산재보험 검증 사례 중심으로, 한국행정연구, 31(4), 28-51. (KCI) - Seol, H., Kim, C., Lee, C.*, and Park, Y. (2009), DSM 기반의 프로세스 구조화 방법론, 품질경영학회지, 37(3), 39–53. (KCI)