Jungyoon Song
E-mail : song0326@snu.ac.kr
Introduction
I am a Ph.D candidate at Seoul National University. My research interests and specialties are focused on DATA-DRIVEN ANALYTICS with emphasis on the Time series forecasting with deep learning, Econophysics, financial-engineering and applications of these areas in “Crisis management, Trend prediction, Financial market volatility and other topics related to business analytics”.
Education
Ph.D : Department of Industrial Engineering, Seoul national University, 2019.03~present
M.S : Department of Industrial Engineering, Seoul national University, 2017.03~2019.02
B.S : Department of Industrial and Management Engineering, Korea University, 2011.03~2017.02
Publication
Song, J. Y., Chang, W., & Song, J. W. (2019). Cluster analysis on the structure of the cryptocurrency market via Bitcoin–Ethereum filtering. Physica A: Statistical Mechanics and its Applications, 527, 121339. <Link>