Brain Science and Information Processing for Engineering using Neuroimaging, BioSignals, and Computational Models
Our ultimate goal is to develop practical applications in real-world scenarios using non-invasive neuroimaging modalities, biosignals, and a variety of information and data.
To this end, our main research themes include the investigation of brain functions measured by various neuroimaging modalities such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG), biosignals, and a variety of information and data using various signal processing, machine learning, and AI techniques. We believe that our findings can be gainfully applied to develop important applications in non-clinical and clinical domains.
How can we develop robust and reliable applications in non-clinical and/or clinical domains with real-world scenarios using these dataset by deploying signal processing, machine learning, and AI techniques?
And, which applications will be the most feasible and thus we need to focus on?
If you are interested in joining BSPL, 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.
Yeji Kim; Juhyeon Lee; Marion Tegethoff; Gunther Meinlschmidt; Seung-Schik Yoo; Jong-Hwan Lee
Jinwoo Hong; Jundong Hwang; Jong-Hwan Lee
[PubMed / Google Scholar / Journal Home]
Juhyeon Lee; Minyoung Jung; Niv Lustig; Jong-Hwan Lee
DY Kim, Y Jang, D Heo, S Jo, HC Kim, JH Lee
Frontiers in Human Neuroscience, 16, January 20, 2022, DOI: 10.3389/fnhum.2022.817538
[PubMed / Google Scholar / Journal Home]