ph.D. Course

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

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 

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

Yejin Kim

M.S. (2023)

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

Current Position: 

Hyewon Kang

M.S. (2023)

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

Current Position: Ph.D Student