Data Assistant

Sung Chan Jun's Brief CV

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curriculum vitae. For full version, please download it (

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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

Experiences2006. 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 KoreaResearch AreaSource 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.Inverse scattering, Inverse medium

problems.Optimization method, Iterative methodBayesian Probabilistic Approach using MCMC.

Publications

(Recent 5 years)

Recent Journal Papers and Refereed Conference PapersS. 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/0605142S. 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. 51-200*-****-****

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. 47-200*-****-****.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 PreparationCombined MEG and EEG bayesian inference analysis.Combined Bayesian inference Analysis for MEG/fMRI.

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