SUNG CHAN JUN's Homepage

Sung Chan Jun's Brief CV

This is a brief curriculum vitae. For full version, please download it (postscript or pdf version)

July, 2007 updated

Sung Chan Jun

Technical Staff Member
Applied Modern Physics Group, MS-D454
Los Alamos National Laboratory
Los Alamos, NM 87545
Tel. (505) 667 - 8826
Fax. (505) 665 - 4507

jschan at lanl.gov
http://www-bcl.cs.unm.edu/~junsc

Educational Background

1993. 3 - 1998. 8 Applied Mathematics, Korea Advanced Institute of Science and Technology (Ph.D.)
1991. 3 - 1993. 2 Applied Mathematics, Korea Advanced Institute of Science and Technology (M.S.)
1987. 3 - 1991. 2 Mathematics(major), Computer science(minor), Korea Advanced Institute of Science and Technology, South Korea (B.S.)

Professional Experiences

2006. 6 - Present Technical Staff Member, Applied Modern Physics Group, Los Alamos National Laboratory, Los Alamos, New Mexico, USA
2004. 6 - 2006. 5 Technical Staff Member, Biological and Quantum Physics Group, Los Alamos National Laboratory, Los Alamos, New Mexico, USA
2002. 9 - 2004. 6 Post-doc, Biological and Quantum Physics Group, Los Alamos National Laboratory, Los Alamos, New Mexico, USA
2000. 9 - 2002. 9 Post-doc, Brain and Computation Lab, Department of Computer Science, University of New Mexico, Albuquerque, New Mexico, USA
1998. 9 - 1999. 10 Post-doc, Center for Plasmas and Fusion Studies, Korea Advanced Institute of Science and Technology, Taejeon, South Korea
1999. 10 - 2000. 9 Post-doc, Superconductivity Group, Korea Research Institute of Standards and Science, Taejeon, South Korea
1998. 6 - 1998. 8 Visiting Scholar, Courant Institute of Mathematical Sciences, New York University, USA
1997. 7 - 1997. 8 Visiting Scholar, Courant Institute of Mathematical Sciences, New York University, USA
1991. 3 - 1998. 8 Teaching Assistant, Korea Advanced Institute of Science and Technology, South Korea

Research Area

Biomedical Imaging

Source localization of MEG, MCG, EEG and ECG.

Integration on Brain imaging data : Multimodality of MEG/EEG and fMRI data.
Brain Computer Interface.

Large Computation

Stochastic Closure : Scale-up problem for efficient large computations.

Theoretical Inverse Problem

Inverse scattering, Inverse medium problems.

Scientific Computing

Optimization method, Iterative method
Bayesian Probabilistic Approach using MCMC.

Publications (Recent 5 years)

Recent Journal Papers and Refereed Conference Papers

S. C. Jun (with S. M. Plis, J. S. George, D. M. Ranken, P. Volegov, and D. M. Schmidt), Probabilistic Forward Model for Electroencephalography Source Analysis, (2007) To appear in Physics in Medicine and Biology.
S. C. Jun (with S. M. Plis, J. S. George, J. Pare-Blagoev, D. M. Ranken, D. M. Schmidt, and C. C. Wood), Modeling spatiotmeporal covariance for MEG/EEG source analysis, Physical Review E, Vol. 75 (2007) 011928.
S. C. Jun (with S. M. Plis, D. M. Schmidt, D. M. Ranken), A generalized spatiotemporal covariance model for stationary background in analysis of MEG data, IEEE 2006 International Conference of the Engineering in Medicine and Biology Society. [Online] http://arxiv.org/abs/physics/0605142
S. C. Jun (with S. M. Plis, D. M. Ranken and D. M. Schmidt), Spatiotemporal noise covariance estimation from limited empirical MEG data, Physics in Medicine and Biology, Vol. 51 (2006) 5549–5564.

Sung Chan Jun (with J. S. George, S. M. Plis, D. M. Ranken, D. M. Schmidt, and C. C. Wood), Improving source detection and separation in spatiotemporal Bayesian inference dipole analysis, (2006) Physics in Medicine and Biology, Vol. 51 (2006) 2395-2414

Sung Chan Jun (with J. S. George, S. M. Plis, J. Pare-Blagoev, D. M. Ranken, D. M. Schmidt, and C. C. Wood), Spatiotemporal Bayesian Inference Dipole analysis for MEG Neuroimaging Data, NeuroImage, Vol. 28 (2005) 84-98
Sung Chan Jun (with B. A. Pearlmutter), Fast robust subject-independent MEG source localization using an artificial neural network, Human Brain Mapping, Vol. 25 (2005) 21-34
Sung Chan Jun (with B. A. Pearlmutter), Subject-independent MEG source localization using a multilayer perceptron, Advances in Neural Information Processing System 16 (2004) 741-748.
Sung Chan Jun (with B. A. Pearlmutter and G. Nolte), MEG source localization using a MLP with a Distributed Output Representation, IEEE Trans. Biomedical Engin., Vol. 50 (2003) 786-789.
Sung Chan Jun (with B. A. Pearlmutter and G. Nolte), Fast accurate MEG source localization using a multilayer perceptron trained with real brain noise, Physics in Medicine and Biology, Vol. 47 (2002) 2547-2560.

Invited Presentation

NFSI 2007, symposium session, October, 2007, China.

Applied Inverse Problem 2007, minisymposium session 'Magnetoencephalograph Problmes', June 25-29, 2007, Vancouver, Canada.

SAMSI Workshop on High Dimensional Inference and Random Matrices, Oct. 30 – Nov. 3, 2006, Research Triangle Park, North Carolina, USA.
MEG Center at Seoul National University Hospital on August, 2006, Seoul, South Korea.
Organizing symposium session ‘EEG/MEG Source Imaging’ at World Congress 2006 on Medical Physics and Biomedical Engineering, Aug. 27 – Sep. 1, 2006, Seoul, South Korea.
The Mind Institute, October, 2004, Albuquerque, New Mexico, USA.
Seoul National University on ‘Inverse Problem in Biomagnetism - MEG Source Analysis’, December, 2003, Seoul, South Korea.
Korea Electrotechnology Research Institute on ‘Application of Artiﬁcial Neural Networks to MEG Source Localization Problem’, December, 2003, Euwang, South Korea.
Korea Research Institute of Standards and Science on ‘Probabilistic Approach on Spatiotemporal Analysis Bayesian Inference’, December, 2003, Taejeon, South Korea.
Korea Advanced Institute of Science and Technology on ‘Inverse Problem in Biomedical Imaging’, December, 2003, Taejeon, South Korea.

Manuscripts in Preparation

Combined MEG and EEG bayesian inference analysis.
Combined Bayesian inference Analysis for MEG/fMRI.

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