Postdoc.

Taek-Ho Lee

Postdoc. (2025)

Current Position: Assistant Professor, Industrial and Information Systems Engineering, Seoul National University of Science and Technology, Korea

ph.D. Course

Seok-Ju Hahn

Ph.D. (2024)

Dissertation Title: Algorithms for Collaborative Machine Learning under Statistical Heterogeneity

Current Position: Postdoctoral Researcher, Seoul National University, Korea

Suhyeon Kim

Ph.D. (2023)

Dissertation Title: Graph Neural Networks for Multivariate Time Series Forecasting with Applications

Current Position: Assistant Professor, Graduate School of Data Science, Kyungpook National University, Korea

M.S. Course

Hyerim Park

M.S. (2025)

Dissertation Title: Development of a Deep Learning-Based Temporal Air-Quality Risk Index: A Case Study on South Korea

Current Position: LG Electronics Inc., Korea

Hyewon Kang

M.S. (2023)

Dissertation Title: A Recurrence Plot based Graph Convolutional Network for Time Series Classification 

Current Position: Ph.D Student

Yejin Kim

M.S. (2023)

Dissertation Title: GC-RED :Graph Convolution-based Recurrent Encoder-Decoder for anomaly diagnosis in multivariate time series 

Current Position: 

Kyeongbin Kim

M.S. (2021)

Dissertation Title: Development of composite indicators for examining the vulnerability of household finance through a Risk Information-adjusted Hierarchical Autoencoder

Current Position: LG Electronics Inc., Korea

Yeongjae Gil

M.S. (2020)

Dissertation Title: Secure and Differentially Private Bayesian Learning via Preconditioned Stochastic Gradient Langevin Dynamics on Distributed Data

Current Position: Hyundai Motor Co., Korea