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]

• A Diffusion Model Framework for EEG Abnormality Detection: Combining Learnable Spatial Filters and Multi-Scale Attention, BESK 2025

• Diffusion-Enhanced Autoencoder for Abnormal EEG Identification, KPK workshop 2024

• Deep Learning Ensemble-Based Asynchronous Classification for RSVP-BCI Systems, BESK 2024

Awards

• Best Poster Award, Brain Engineering Society of Korea, BESK 2025

Tutorial, Invited talk and Seminar

• Sep. 27, 2024, Diffusion-Enhanced Autoencoder for Abnormal EEG Identification, KPK workshop, Daegu, Republic of Korea