My Education

  • Ph.D. in Statistics, Korea University, Seoul, Korea (2024)
  • M.A. in Applied Statistics, Korea University, Seoul, Korea (2020)
  • B.A. in Applied Statistics, Korea University, Seoul, Korea (2018)
Project 1

Publications

  • Kang Kyung Tae, Sung Jae Kim and CHO YONGBOK. (2025). GDP Nowcasting Using Real-Time Port Traffic Data. The Journal of Information Systems, 34(3), 51-77.
  • Sungjae Kim, Jinsoo Park and CHO YONGBOK. (2025). A Study on Offline Channel Strategies of Banks Considering the Characteristics of Senior Customers: The Case of Busan Metropolitan City. Information Systems Review, 27(3), 425-439
  • Kyungtae Kang, Sungjae Kim and CHO YONGBOK. (2025). Imbalanced Data Augmentation Based on Semi-Hard Example Mining for Financial Fraud Detection Systems. Information Systems Review, 27(3), 375-397
  • Kim, S. J., & Cho, Y. (2025). Enhancing environmental monitoring of harmful algal blooms with ConvLSTM image prediction. Environmental Research Communications, 7(2), 025012
  • Sung Jae Kim and Min Ho Ryu. (2024). Analysis of customer characteristics according to the bank’s new customer inflow channel. Information Society & Media, 25(2), 47-74
  • Lee, S., Choi, B., Kim, S.J. et al. Relationship between freshwater harmful algal blooms and neurodegenerative disease incidence rates in South Korea. Environ Health 21, 116 (2022). https://doi.org/10.1186/s12940-022-00935-y
  • [Dissertation] Comparison Research for Spatio-Temoporal Data Analysis: Methods, Applications, and Implications
  • [Thesis] Statistical Method for cross-section time series model in gridded population