Education
2017
- Ph.D. (2017) Industrial and Management Engineering, Pohang University of Science and Technology
2012
- B.S. (2012) Industrial and Management Engineering, Pohang University of Science and Technology
Career
2023. 03 ~ present
Assistant Professor, Joint Faculty of Technology Management, Economics & Policy Program (TEMEP) & College of Liberal Studies, Seoul National University
2022. 03 ~ 2023. 02
Associate Professor, Joint Faculty of Department of Industrial Engineering & Artificial Intelligence Graduate School, Ulsan National Institute of Science and Technology
2018. 03 ~ 2022. 02
Assistant Professor, Department of Industrial Engineering, Ulsan National Institute of Science and Technology
2017. 08 ~ 2018. 02
- Postdoctoral Researcher, Department of Biomedical Informatics, UC San Diego
Research Interests
- Machine Learning & Deep Learning
- Privacy-preserving Federated Learning
- Graph-based Representation Learning
- Artificial Intelligence in Healthcare
- Smart Manufacturing
- Data Analytics for Technology Innovation
- Business Analytics
Publication
Since 2021
- 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))
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
