BioComputing Lab.


Lab Name and Affiliation

BioComputing Lab.

Gwangju Institute of Science and Technology

Lab Director (or Principal Investigator)

Sung Chan Jun, Ph.D.

Sung Chan Jun majored in Mathematics and minored in Computer Science from Korea Advanced Institute of Science and Technology (KAIST), Korea. He received M.S. and Ph.D. in Applied Mathematics at the same institution in 1993 and 1998, respectively. In 1999-2000, he joined in the Korea Research Institute of Standard and Sciences (KRISS) and coordinated softeware development for Korean MEG system.

In 2000-2002, he worked at the Department of Computer Science, University of New Mexico, USA as a post-doctoral researcher. Then he joined in the Biological & Quantum Physics Group, Los Alamos National Laboratory (LANL), USA as a post-doctoral associate in 2002 and he became Technical Staff Member there in 2004. After 5 years work of experience at the LANL, he moved to the Gwangju Institute of Science and Technology (GIST), Korea as a faculty member in 2007. He is currently working at GIST as associate professor and is leading the Biocomputing lab.

His current research interests include biomedical imaging and biosignal processing with MEG/EEG, brain computer interface, computational modeling of electrical brain stimulation, and so on. He is a member of the IEEE, the Society for Neuroscience, the Asia-Pacific Signal and Information Processing Association (APSIPA), and the Organization of Human Brain Mapping (OHBM). He serves as Editorial Board Member in journal Brain Computer Interfaces, guest Associate Editor in Frontiers in Neuroscience, and Reviewer Editor in Frontiers in NeuroRobotics. Also, he serves as an active reviewer for over 10 prestigious international journals including Neuroimage, Human Brain Mapping, Physics in Medicine and Biology, Journal of Neural Engineering, Journal of Neuroscience Methods, and PLoS One.

Lab Introduction

Biocomputing lab (BioComp) has been established in the late of 2007 at GIST. Biocomputing lab has been doing pioneer work on any kinds of computing related scientific real world problems, particularly focusing on neural engineering. Current research areas at this lab are as follows:

Biosignal processing and its applications
- Sleep Quality Monitoring
- AD related Neurophysiological Features
- Multi-modal Signal Processing (MEG/EEG/ECG/EMG/fNIRS)

Brain-computer interfaces
- Motor imagery BCI, P300 Speller

Neuromodulation and Electrical brain stimulation (EBS)
- Brain Stimulation effect prediction
- 3D Realistic Brain Modeling for EBS
- Computation Study on tDCS, ECS, SuCS and TMS

- Estimation of Real-time Mental Load for 3D Audio/Visual Contents
- Drowsiness Monitoring System in the Vehicle
- Various Neuro-friendly techniques

Lab Contact E-mail