Assistant Professor
Creative Technology Management, Underwood International College, Yonsei University, South Korea
keeheon@yonsei.ac.kr
+82-32-749-3610
Skills
Java
Python
R
Others
Languages
Korean
English
French
Tutored by students from Yonsei Data Science Academia
Taught and Supervised by Keeheon Lee
Sponsored by Yonsei Center for Social Innovation
Taught by CTM juniors and seniors
Supervised by Keeheon Lee
Sponsored by Data Science Academia
Taught by Junghoo Lee and Keeheon Lee
Sponsored by Yonsei Center for Social Innovation
UCS1001-08-00
Read news articles on data science and discuss the current state and the potential issues
CTM1003-01-00
Learn how computers are organized, how computers work, how computers learn; learn algorithms in IT using excel; analyze the cutting edge technologiesin IT
CTM1002-01-00
Learn Python programming to understand linear programming, linear algebra, internet, machine learning
CTM2011-01-00
Learn network analysis used in social network, organizational network, trade network, bibliographic network, and informetric network
CTM2014-01-00
Learn algorithms used in data science with Python
CTM3014-01-00
Develop a service system that utilizes machine learning
Sponsored by Yonsei Center for Social Innovation
CTM4003-01-00
Taught by Junghoon Lee, Keeheon Lee
Sponsored by Yonsei Center for Social Innovation
Arduino, Raspberry Pi, AndroidThings...
Network analysis group: Jaekeun Lee, Saeyan Park, Jinwoo Han
Deep learning group: Dongkyu Lee, Jeongwon Jo, Sooan Han
Digital humanities group: Jiyeon Kim, Soyeon Kim, Chaeun Lee
Business analytics group: Jaeyi Joo
Financial data science group: Bokyung Kwon, Phil Hwang, Eun Seong Lee, Heekyung Kim, Minsun Kim
Data science education group: Chaewon Kim, Daehan Kim
Supervised by Keeheon Lee
Sponsored by Creative Technology Management
Hoyeop Lee, Jong Su Im, Keeheon Lee, Chang Ouk Kim. Agent simulation based ordinal optimization for new product design.
Sangyup Lee, Keeheon Lee. Factors that influence an individual¡¯s intention to adopt a wearable healthcare device: the case of a wearable fitness tracker
Sukwoong Choi, Keeheon Lee, Wonjoon Kim. A Topic-based quantitative historical approach to entrepreneurship research between 1985 and 2015.
Social sustainability
Song, M., Kim, S., & Lee, K. (2017). Ensemble analysis of topical journal ranking in bioinformatics. Journal of the Association for Information Science and Technology, 68(6), 1564-1583.
Lee, K., Kim, S., Kim, E. H. J., & Song, M. (2017). Comparative evaluation of bibliometric content networks by tomographic content analysis: An application to Parkinson's disease. Journal of the Association for Information Science and Technology, 68(5), 1295-1307.
Lee, K., Jung, H., & Song, M. (2016). Subject–method topic network analysis in communication studies. Scientometrics, 109(3), 1761-1787.
Jung, H., Lee, K., & Song, M. (2016). Examining Characteristics of Traditional and Twitter Citation. Frontiers in Research Metrics and Analytics, 1, 6.
Keeheon Lee, Hyo Jung Jung, Min Song (2015). Weighted Subject-Method Network Analysis of Library and Information Science Studies, Journal of the Korean Library and Information Science Society, 49(3), 457-488. (Korean)
Keeheon Lee, Go Eun Heo, Min Song (2015). Biomedical text mining: A trend in Biomedical Knowledge Discovery Based on Text Mining, The Korean Institute of Information Scientists and Engineers, 33(4), 30-38. (Korean)
Keeheon Lee (2015). Comparing Network Structures of Different Versions of a Book: A Case Study of the Bible. In Digital Libraries: Providing Quality Information (pp. 142-152). Springer International Publishing.
Keeheon Lee, Ho Yeop Lee, Chang Ouk Kim (2014). Pricing and timing strategies for new product using agent-based simulation of behavioural consumers, Journal of Artificial Societies and Social Simulation, 17(2),1.
Keeheon Lee, Shintae Kim, Chang Ouk Kim, Taeho Park (2013). An agent-based competitive product diffusion model for the estimation and sensitivity analysis of social network structure and purchase time distribution, Journal of Artificial Societies and Social Simulation, 16(1),3.
Keeheon Lee, Chang Ouk Kim (2012). Artificial Disaster: a trend of agent-based simulation models for disaster response, Information and Communications Magazine, 29(5), 27-36. (Korean)
Shintae Kim, Keeheon Lee, Jangkyun Cho, Chang Ouk Kim (2011). Agent-based diffusion model for an automobile market with fuzzy TOPSIS-based product adoption process, Expert Systems with Applications, 38(6), 7270-7276.
Jong-Myung Ko, Jihoon Sohn, Young-Duk Ahn, Keeheon Lee, Seung-Hwan Yang, Seung-Ho Kim, Yu-Suk Park, Young Hoon Lee (2009). The development of customized overcrowding index for an emergency department, Journal of Korean Society of Emergency Medicine, 20(4), 435-444. (Korean)
Keeheon Lee (2015). Science & Technology Analysis CODEC: A Study on the Framework of Data-driven Futurology, Korea Institute of Industrial Engineering Conference.
Keeheon Lee (2015). Subject-Method Relational Network Community Analysis: An Application to Communication Studies, Korea Institute of Industrial Engineering Conference.
Keeheon Lee (2015). Multidisciplinary Research Space Model as A Venue for Research Dynamics Analysis, Korea Institute of Industrial Engineering Conference.
Keeheon Lee (2015). Research Map in A Network Representation: the Linked World of OR/MS in Biomedicine, Korea Institute of Industrial Engineering Conference.
Keeheon Lee, Heejune Lim (2015). Event-driven Feature Selection for Technology Road Map: An Application to Automobile Industry, Korea Institute of Industrial Engineering Conference.
Hosang Jung, Seungbae Sim, Keeheon Lee, Myeongki Kim (2015). Unmanned Aerial Vehicle Utilization for Addressing a Logistical Dead-Zone Problem in Remote Areas. In: FAIM 2015: 25th The International Conference on Flexible Automation and Intelligent Manufacturing, Wolverhampton, (United Kingdom).
Keeheon Lee, Yong Hwan Kim, Seung Han Baek, Min Song (2015) Analyzing Subject-Method Network of Bioinformatics and Biology. In Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics (pp. 27-27). ACM.
Hoyeop Lee, Jongsoo Lim, Keeheon Lee, Chang Ouk Kim (2014). A framework for product design by applying ordinal optimization to multi-agent simulation, Korea Institute of Industrial Engineering Conference.
Go Eun Heo, Keeheon Lee, Min Song (2014). Inferring undiscovered public knowledge by using text mining-driven graph model. In: ACM CIKM 2014: 23nd International Conference on Information and Knowledge Management, Shanghai (China).
Keeheon Lee, Chang Ouk Kim (2014). The biasedness in a group decision caused from social network structure. Korean Operations Research and Management Science Conference.
Keeheon Lee, Chang Ouk Kim (2014). Topic recipe based Social Simulation for Research Dynamics Analysis. In: ESSA¡¯14: Tenth Conference of the European Social Simulation Association, Barcelona (Spain).
Keeheon Lee, Hoyeop Lee, Chang Ouk Kim (2013). Extracting paper quality features by sequencing and mining paper, Korea Institute of Industrial Engineering Conference
Hoyeop Lee, Keeheon Lee, Chang Ouk Kim (2012). New product diffusion forecasting model with consideration of quasi-rationality, heterogeneity, and social influence of consumer, Korea Institute of Industrial Engineering Conference
Keeheon Lee, Seong Rok Hong, Chang Ouk Kim (2011). A growth model of new product demand forecast: structural difference evaluation between mathematical model and agent-based model, Korea Institute of Industrial Engineering Conference.
Jisun Kang, Keeheon Lee, Chang Ouk Kim (2011). A method for determination of competitive/complementary product and network externality for effective IT product release strategy, Korea Institute of Industrial Engineering Conference.
Keeheon Lee, Chang Ouk Kim (2010). New product diffusion dynamics forecasting: multi-agent based simulation with psychological bias and dynamic threshold, Korea Institute of Industrial Engineering Conference.
Keeheon Lee, Sang-Min Lee, Hee-Suk Park (2008). Sharing Wealth: CCL based Collective Intelligence on Web 2.0 of cultural diversity, 3rd Complexity Conference, Complexity Research and Education Network.
Keeheon Lee, Chang Ouk Kim (2008). New product diffusion in uncertain market: multi-behavioral consumer network simulation model, Korea Institute of Industrial Engineering Conference.
Positioned as a senior researcher in Innovation Strategy and Policy Research Group, Department of Business and Technology Management & Graduate School of Innovation and Technology Management. Actively participated in research on strategic entity and relation extraction from media data for business performance measure as well as individual research on various topics dealt with data science.
Supervisor: Professor Wonjoon Kim
Positioned as a special researcher in Socio-cultural omics center. Actively participated in research on medical literature-based knowledge discovery, social media mining. Performed individual research as well.
Supervisor: Professor Min Song
Positioned as a research fellow in Big Data-based Future Model of Knowledge Service Team, Department of Library and Information Science. Actively participated in research on medical literature-based knowledge discovery, social media mining. Performed individual research as well.
Supervisor: Professor Min Song
Technology Analysis and Forecasting Using Data Mining and Simulation
New Product Demand Forecast Using Computational Diffusion Model Based on Personality
PI: Keeheon Lee
PI: Keeheon Lee
PI: Whasun Cho Co: Keeheon Lee, Joonsuk Yang, Byung-Jae Lee
Developed a big data based model for public opinion evolution. Raised the main idea that opinion evolves such as biological evolution in gene level. Developing this model as a new perspective of public opinion research.
Developed a new big data analytics framework for public opinion.
Consulted, as an expert, the agent-based modeling of Korean economy built by IIASA and STEPI.
Built scenarios for satellite information application industry of Korea.
Developed a new method for science and technology classification.
Developed big data mining service for logistics and supply chain management.
Raised the core idea and proposed the idea as a research proposal. Developed heterogeneous agent-based simulation for product portfolio optimization.
Raised the whole idea and proposed the idea as a research proposal. Developed agent-based simulation for forecasting a new research area.
Raised the core idea and proposed the idea as a research proposal. Developed a system that has many computers to run agent-based product diffusion models in distributed manner.
Developed an analytical network process for an administrative preliminary assessment.
Developed an agent-based product diffusion model to simulate behavioral consumers and optimize product attributes for the consumers. Guide/assist undergraduate students to participate in a research on product diffusion simulation.
Developed an agent-based product diffusion model and determine the price and the supply volume that maximizes the expected profit.