Faculty Research Profile
Chiehyeon Lim
학력
· 2014: Ph.D. in Industrial and Management Engineering, POSTECH
· 2009: B.S. in Industrial and Management Engineering, POSTECH
주요 경력
· 2017~Present: Associate Professor, Assistant Professor, UNIST
· 2021~Present: Editorial Board Member, Journal of Service Management
· 2015~2017: Project Scientist and Lecturer, California Center for Service Science, University of California, Merced
· 2014~2015: Post-doctoral Researcher, POSTECH Information Research Laboratories
수상/학회/외부활동
· 2023: 2022 UNIST Outstanding Faculty Award (Industry-University Collaboration)
· 2021: Most Cited Award, Cities
· 2021: 2020 UNIST Outstanding Faculty Award (Research)
· 2019: Best Paper in 2018, Journal of Service Theory and Practice
· 2019: 2018 UNIST Outstanding Faculty Award (Education)
· 2018: Award from the Minister of Science and ICT, Best Work of the KIST CRPC Fellowship
· 2016: Best Paper, SERVSIG
· 2009: Best Paper, APIEMS
서비스지능 연구실
Service Intelligence Lab
We develop data science methods and solve service problems in industry/society.
We develop data science methods and solve service problems in industry/society.
연구분야
We focus on data science research for real-world service impacts.
We focus on data science research for real-world service impacts.
연구 희망분야
We focus on data science research for real-world service impacts.
We focus on data science research for real-world service impacts.
연구주제
Knowledge Discovery, Data Science, Service Intelligence
Knowledge Discovery, Data Science, Service Intelligence
논문
· Cho, H., Kim, K., Yoon, K., Chun, J., Kim, J., Lee, K., Lee, J. and Lim, C., "MMP Net: A Feed Forward Neural Network Model with Sequential Inputs to Represent Continuous Multistage Manufacturing Processes without Intermediate Outputs," IISE Transactions, 2023.
· Kim, Y., Lim, C., Lee, J., Kim, S., Kim, S. and Seo, D., "Chemistry-informed Machine Learning: Using Chemical Property Features to Improve the Performance of Gas Classification," Chemometrics and Intelligent Laboratory Systems, Vol. 237, 104808, 2023.
· Seo, H., Shin, J., Kim, K., Lim, C. and Bae, J., “Driving Risk Assessment using Nonnegative Matrix Factorization with Driving Behavior Records,” IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No. 11, 20398-20412, 2022.