M.S. STUDENT

SoJung Lee, Master Course.

Research interest

SoJung Lee is a master's student at Kyungpook National University and is under the guidance of Professor Kim Hyun-chul. Her research focuses on developing innovative AI approaches using fMRI, especially on  facial emotion calssification.  Specifically, his research aims to enable capabilities such as: 

• Machine/deep learning

• Brain decoding

• Brain-computer interface, Neurofeedback

Education

• Mar. 2024 - Present: M.S., Dept. of Artificial Intelligence, Kyungpook National University, Daegu, Republic of Korea

• Mar. 2018 - Feb. 2023: B.S., Dept. of Statistics, Youngnam University, Gyeongsan, Republic of Korea

Publications
[Conference]

• Anger Approach-Avoidance Training Modulates Visual Cortex Representations of Emotion and Intensity, OHBM 2025

• Visual Cortex-Based Classification of Facial Expressions and Their Intensities, BESK 2025

• Effects of Anger Approach-Avoidance Modification Training Intervention on Face Perception Using Visual Cortex Activity, KHBM 2024

Awards

• Best Poster award, Brain Engineering Society of Korea (BESK), 2025

Tutorial, invited talk, and seminar

• Sep. 27, 2024, Effective Multi-label Classification of Emotion and Intensity with Multi-task Learning in Visual Cortex, KPK Workshop, Daegu, Republic of Korea