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Junghye Lee Professor

Phone : +82-2-880-8891

Office : 데이터 기반 의사결정 연구실(Data-driven Decision Making Laboratory)/ 37동 306-1호

Website : http://d3mlab.snu.ac.kr/

Email : junghye@snu.ac.kr

• B.S. (2012) Industrial and Management Engineering, POSTECH
• Ph.D. (2017) Industrial and Management Engineering, POSTECH

Fields of Interest

• Machine Learning & Deep Learning
• Privacy-preserving Federated Learning
• Smart Healthcare
• Smart Manufacturing
• Data Analytics for Technology Innovation
• Business Analytics

Work Experience

• · 2023.3 ~ 현재 서울대학교 공학전문대학원 & 공과대학 기술경영경제정책 협동과정 조교수
• · 2022.3 ~ 2023.2 울산과학기술원 산업공학과 (인공지능대학원 겸임) 부교수
• · 2018.3 ~ 2022.2 울산과학기술원 산업공학과 조교수
• · 2017.8 ~ 2018.2 UC San Diego, School of Medicine, Department of Biomedical Informatics 연구원

Publications

1. Seok-Ju Hahn, Suhyeon Kim, Young Sik Choi, Junghye Lee*, and Jihun Kang*, "Prediction of Type 2 diabetes Using Genome-wide Polygenic Risk Score and Metabolic Information: A Machine Learning Analysis of Population-based 10-year Prospective Cohort Study", eBioMedicine, December 2022. (SCI(E))
2. Jae-Young Kim, Eo-Jin Hwang, Junghye Lee, Eunjung Kim*, and Dong-Wook Kim*, "Patient-specific molecular response dynamics can predict the possibility of relapse during the second treatment-free remission attempt in chronic myelogenous leukemia", Neoplasia, October 2022. (SCI(E))
3. Seok-Ju Hahn, Minwoo Jeong, and Junghye Lee*, "Connecting Low-Loss Subspace Learning for Personalized Federated Learning", The 28th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), August 2022. (Top Conference)
4. MyoungHoon Lee, Suhyeon Kim, Hangyeol Kim, and Junghye Lee*, "Technology Opportunity Discovery using Deep Learning-based Text Mining and a Knowledge Graph", Technological Forecasting and Social Change, 180, July 2022. (SSCI)
5. YongKyung Oh, Chiehyeon Lim, Junghye Lee, Sewon Kim, and Sungil Kim*, "Multichannel Convolution Neural Network for Gas Mixture Classification", Annals of Operations Research, April 2022. (SCI(E))
6. Suhyeon Kim, Hangyeol Kim, Eun-Sol Lee, Chiehyeon Lim, and Junghye Lee*, "Risk Score-embedded Deep Learning for Biological Age Estimation: Development and Validation", Information Sciences, 586, 628-643, March 2022. (SCI(E))
7. Dwi Yuli Rakhmawati and Junghye Lee*, "A product acceptance decision-making method based on process capability with considering gauge measurement errors", Communications in Statistics – Theory and Methods, July 2021. (SCI(E))
8. Suhyeon Kim, Wonho Sohn, Dongcheol Lim, and Junghye Lee*, "A multi-stage data mining approach for liquid bulk cargo volume analysis based on bill of lading data", Expert Systems with Applications, 183, November 2021. (SCI(E))
9. Taek-Ho Lee, Junghye Lee*, and Chi-Hyuck Jun*, "Bilingual Autoencoder-based Efficient Harmonization of Multi-source Private Data for Accurate Predictive Modeling", Information Sciences, 568, 403-426, August 2021. (SCI(E))
10. Junghye Lee*, Inyoung Choi, and Chi-Hyuck Jun, "An efficient multivariate feature ranking method for gene selection in high-dimensional data", Expert Systems with Applications, 166, March 2021. (SCI(E))

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