Integrated M.S.&Ph.D. STUDENT
Jae-Pil Lee, Integrated M.S.&Ph.D. student
Research interest Jae-Pil Lee is an Integrated MS/Ph.D. student at Kyungpook National University, advised by Prof. Hyun-Chul Kim. His research focuses on developing innovative AI approaches for EEG signal analysis and interpretation. Through his work in artificial intelligence and biomedical signal processing, he explores advanced machine learning methodologies for analyzing brain activity patterns through EEG data. Specifically, his research aims to enable capabilities such as:
Brain-computer interface development
Adaptive EEG feature learning
Real-time EEG processing and analysis
Education
Mar. 2024 - Present: Integrated M.S. and Ph.D., Dept. of Artificial Intelligence, Kyungpook National University, Daegu, Republic of Korea
Mar. 2014 - Feb. 2023: B.S., Electronics Engineering, Yeungnam University, Gyeongsan, Republic of Korea
Publications
[Conference]
Deep Learning Ensemble-Based Asynchronous Classification for RSVP-BCI Systems, BESK 2024
Diffusion-Enhanced Autoencoder for Abnormal EEG Identification, KPK workshop 2024