Research Scientist

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Education
•    MSc, CAD/CAM Engineering, Kovrov State Tech Academy
•    MSc, Computer Science, University of New Mexico
•    Ph.D., Computer Science, University of New Mexico
•    Postdoc, Computer Science, University of New Mexico

Positions
•    1998 – 1999     Research Assistant, Kovrov State Tech Academy (Russia)
•    1999 – 2001     Engineer-Programmer, V.A. Degtyarev Plant (Russia)
•    2001 – 2002     Research Assistant, Computer Science Department, UNM (USA)
•    2002 – 2007     Graduate Research Assistant, Los Alamos National Laboratory (USA)
•    2007 – 2009     Postdoctoral Fellow, University of New Mexico (USA)
•    2010-present     Research Scientist, The Mind Research Network (USA)

Honors
•    1999 – 2001     Fellow, V.A. Degtyarev Fellowship
•    2003     Junior Scientist Fellowship Winner, 14th Conference of the International Society for Brain  Electromagnetic Topography (ISBET 2003), Nov. 20 - 23, 2003, Santa Fe, NM, USA.
•    2009     NSF sponsored Post-doctoral Travel Award to attend the SIAM Conference on Data Mining to be held on April 30 - May 2, 2009

Selected Peer-Reviewed Publications (in chronological order).
•    Jun S.C., George J. S., Par'e-Blagoev J., Plis S.M., Ranken D.M., Schmidt D.M., and Wood C.C. Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data, NeuroImage 28(1), 84–98, 2005.
•    Jun S.C., Plis S.M., Ranken D.M., Schmidt D.M. Spatiotemporal noise covariance estimation from limited empirical magnetoencephalographic data, Physics in Medicine and Biology 51(21), 5549–5564, 2006.
•    Jun S.C., George J.S., Plis S.M., Ranken D.M., Schmidt D.M., and Wood, C.C. Improving source detection and separation in a spatiotemporal Bayesian inference dipole analysis., Physics in medicine and biology 51(10), 2395–414, 2006.
•    Plis S.M., Schmidt D.M., Jun S.C., and Ranken D.M. A generalized spatiotemporal covariance model for stationary background in analysis of MEG data, Engineering in Medicine and Biology Society. EMBS ’06. 28th Annual International Conference of the IEEE. 3680-3683, 2006.
•    Plis S.M., George J.S., Jun S.C., Pare-Blagoev J., Ranken D.M., Wood C.C., and Schmidt D.M. Modeling spatiotemporal covariance for magnetoencephalography or electroencephalography source analysis. Physical Review E. 75(1), 2007.
•    Plis S.M., George J.S., Jun S.C., Ranken D.M., Volegov P.L., and Schmidt D.M.  Probabilistic forward model for electroencephalography source analysis. Physics in Medicine and Biology. 52:17, 2007.
•    Jun S.C., George J.S., Kim W., Par'e-Blagoev J., Plis S.M., Ranken D. M., and Schmidt D.M. Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMC, NeuroImage 40(4), 1581–1594, 2008.
•    Potluru V.K., Plis S.M., Morup M., Calhoun V.D., and Lane T. Efficient Multiplicative updates for Support Vector Machines, Proceedings of the 2009 SIAM Conference on Data Mining, 2009.
•    Roy S., Plis S., Werner-Washburne M., Lane T.  Scalable learning of large networks, Systems Biology, IET, 2009.
•    Besada-Portas E., Plis S.M., de la Cruz J., Lane T. Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks, Proceedings of the European Conference n Machine Learning, 2009