2022.02. Ph.D. in Department of Industrial and Management Engineering, POSTECH (Pohang University of Science and Technology)
2015.08. B.S. in Department of Industrial and Management Engineering, POSTECH (Pohang University of Science and Technology)

2023.03. ~ 2025.02.: Postdoctoral Fellow, Institute of Engineering Research, Seoul National University
2022.02. ~ 2023.02.: Postdoctoral Researcher, Department of Industrial and Management Engineering, POSTECH (Pohang University of Science and Technology)

Data Mining, AI applications, Federated Learning

Introduction to Data Mining, Introduction to Management Science

◾ A graph convolutional network for time series classification using recurrence plots, Applied Intelligence, vol. 55, 2025
◾ TMF-GNN: Temporal Matrix Factorization-based Graph Neural Network for multivariate time series forecasting with missing values, Expert Systems with Applications, vol. 275, 2025
◾ HarmoSATE: Harmonized embedding-based Self-ATtentive Encoder to improve accuracy of privacy-preserving federated predictive analysis, Information Sciences, vol. 662, 2024
◾ Word2Vec-based efficient privacy-preserving shared representation learning for federated recommendation system in a cross-device setting, Information Sciences, vol. 651, 2023
◾ Bilingual autoencoder-based efficient harmonization of multi-source private data for accurate predictive modeling, Information Sciences, vol. 568, 2021
◾ Hybrid data stream clustering by controlling decision error, Intelligent Data Analysis, vol. 23 No.3, 2019

◾ Dae-Young Park, In-Young Ko, Taek-Ho Lee, and Junghye Lee, Federated gradient boosting for financial fraud detection: An empirical study in the banking sector, The 34th ACM International Conference on Information and Knowledge Management (CIKM), 2025