M.S. STUDENT

Chaerin Kang, Master Course.

Research Interest

Chaerin Kang is a M.S. student at Kyungpook National University, advised by Prof. Hyun-Chul Kim. Her research focuses on EEG foundation models that generalize across heterogeneous datasets, channel configurations, and BCI paradigms. She is currently exploring how to adapt pretrained EEG models efficiently to downstream tasks and how modular architectures can handle diversity across EEG data. Her research interests include:

• EEG Foundation Models

• Cross-Dataset Generalization and Channel Heterogeneity

• Efficient Adaptation and Fine-Tuning

• Brain-Computer Interfaces

Education

• Mar. 2026 - Present:  M.S., Kyungpook National University, Daegu, Republic of Korea 

Publications

[conference]

• Exploring Channel Gating and Noise Injection in EEG Foundation Model for Motor Imagery Classification, KNU-EERC 2026

• A Preliminary Study on Fine-Tuning Strategies for EEG Foundation Models in Motor Imagery Classification, BESK 2026

Scholarship

• NRF Master’s Student Research Encouragement Grant, 2026