Brain Science and Engineering using Neuroimaging Modality and Computational Models
Our main research theme is to investigate brain functions (a) measured by various neuroimaging (NI) modalities such as magnetic resonance imaging (MRI) and electroencephalography (EEG) and (b) analyzed by various machine learning and deep learning (ML/DL) techniques. We believe that the corresponding findings can be gainfully applied to potential applications such as health care systems and enhancement of human performance.
Brain engineering in healthcare applications and enhancement of human performance via NI modalities and M / DL techniques are possible?
If you are interested in joining our lab, please send your bio/personal statement and/or CV to PI.
BSPL 연구실에서는 이러한 연구들에 관심있는 석사, 석-박통합, 박사과정 학생 및 연구원을 모집하고 있습니다. 관심있는 분은 간단한 자기소개와 CV 등을 이메일로 보내주시고, 추가적으로 궁금한 사항을 문의하기 위한 면담을 요청해 주시기 바랍니다.
HC Kim, JH Lee
Electronics Letters, accepted