中國海洋大學信息科學與工程學院導師：孫民貴 正文

　　孫民貴客座教授，美國匹茲堡大學電子工程系教授，美國匹茲堡大學醫(yī)學院神經(jīng)外科系教授，神經(jīng)外科系臨床神經(jīng)生理學研究中心 副主任，臨床神經(jīng)生理學研究中心計算神經(jīng)學研究室 主任。2006至今 匹茲堡市匹茲堡大學神經(jīng)外科系教授，2006至今 匹茲堡大學工程學院電子與計算機工程系 教授（聯(lián)合聘任），2006至今 匹茲堡大學工程學院生物工程系 教授（聯(lián)合聘任）。

　　社會兼職：
　　IEEE高級會員
　　IEEE電路與系統(tǒng)會多媒體系統(tǒng)與應用技術委員會技術委員會成員
　　IEEE計算智能會醫(yī)學計算智能與應急技術委員會執(zhí)行主席
　　IEEE電路與系統(tǒng)會生命科學系統(tǒng)和應用委員會技術委員會成員
　　
　　1989年10月 匹茲堡大學電子工程系 研究生講座“離散偽Wigner分布:計算和跨組件淘汰”
　　1991年2月-3月匹茲堡大學電子工程系 研究生課程EE3893講座：小波變換
　　1991年12月至今：匹茲堡大學神經(jīng)外科系 同Robert J. Sclabassi一同組織“生物醫(yī)學工程和計算神經(jīng)生理學”每周講座；
　　2000年9月 匹茲堡大學電子工程系 研究生講座“高分辨率腦電波掃描儀信號處理方法——從腦理解信息”
　　2003年1月-4月 匹茲堡大學生物工程系 課程BioE1010：“生物醫(yī)學儀器”（40學生，52學時加試驗）
　　2004年1月-4月 匹茲堡大學生物工程系 課程BioE1010：“生物醫(yī)學儀器”（40學生，52學時加試驗）
　　2005年1月-4月 匹茲堡大學生物工程系 課程BioE1010：“生物醫(yī)學儀器”（40學生，52學時加試驗）
　　2006年1月-4月 匹茲堡大學生物工程系 課程BioE1010和BioE1310：“生物醫(yī)學儀器”（80學生，95學時加試驗）

　　科研課題
　　在研究項目：5個
　　1. “Volume Conduction Invasive Medical Data Communication System,” $750,000, PI forUniversity of Pittsburgh, Brian Errigo, PI, Computational Diagnostics, Inc., Phase II, US ARMY SBIR A2-2094, 20% Salary Support, 1/06-1/08.
　　2. “Conducting polymer/hydrogel skin surface elecrode for high resolutionmultichannel EEG,”$240,000, Co-Investigator, Tracy Cui, PI, Coulter Foundation, 10% Salary Support, 9/05-8/07.
　　3. “Video Compression for Remote Monitoring of Neurosurgery,” $1,146,520, Principal Investigator, NIH 1R01EB002309-01, 20% Salary Support, 9/03-8/07.
　　4. “Video-EEG Data Compression,” $1,262,878, Principal Investigator, NIH 2-R01-NS/MH 38494-04 (Competitive Continuation), 20% Salary Support, 7/02-6/07
　　5. “The John A. Swanson Center for Micro and Nano Systems,” $1,395,000, Co-Investigator;Tom Cain, PI, Dr. and Mrs. John A. Swanson Foundation, 0% Salary Support, 9/02-8/10.
　　完成項目：21個（2007年三月份有兩個完成的）
　　
　　論文(200余篇),著書18本,專利6項, 其他出版物3篇
　　PEER REVIEWED JOURNALS
　　1. M. Sun, L. N. Sekhar, R. J. Sclabassi, J. F. Wasserman, H. B. Blue and K. A. Luyckx,
　　“Recording and Processing of Aneurysmal Vibrational Signals in Dogs,” Journal of Biomedical Engineering, Vol. 10, July 1988, pp. 336-342.
　　2. R. J. Sclabassi, M. Sun, L. N. Sekhar, J. F. Wasserman and H. B. Blue, “An Acoustic
　　Aneurysm-Detector,” Medical Instrumentation, Vol. 21, No.6, 1988, pp. 317-321.
　　3. L. N. Sekhar, R. J. Sclabassi, M. Sun, H. B. Blue and J. F. Wasserman, “Intra-Aneurysmal Pressure Measurements in Experimental Saccular Aneurysms in Dogs,” Stroke, Vol. 19, No. 3, March 1988, pp. 352-356.
　　4. M. Sun, C. C. Li, L. N. Sekhar and R. J. Sclabassi, “Efficient Computation of Discrete
　　Pseudo Wigner Distribution,” IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. ASSP-37, No. 11, November 1989, pp. 1135-1142.
　　5. M. Sun, C. C. Li, L. N. Sekhar and R. J. Sclabassi, “A Wigner Frequency Analyzer for
　　Nonstationary Signals,” IEEE Transactions on Instrumentation and Measurement, Vol. IM-38, No. 5, October 1989, pp. 961-966.
　　6. M. S. Scher, M. Sun, G. M. Hatzilabrou, N. Greenberg, G. Gebulka, and R. J. Sclabassi,
　　“Computer Analyses of EEG Sleep in the Neonate: Methodological Considerations,”
　　Journal of Clinical Neurophysiology, Vol. 7, No. 2, 1990, pp. 417-441.
　　7. L. N Sekhar, M. Sun, D. L. Bonaddio and R J Sclabassi, “Acoustic Recordings from
　　Experimental Saccular Aneurysms in Dogs”, Stroke, Vol. 21, No. 8, August, 1990, pp. 1215- 1221.
　　8. M. Sun, D. L. Bonaddio, Jie Mi and R. J. Sclabassi, “An Analysis of the Effects of Jitter
　　in Data Acquisition on Synchronous Averaging.” IEEE Transactions on Systems, Man, and Cybernetics, Vol. 21, No. 2, March/April 1991, pp. 456-463
　　9. M. Sun and R. J. Sclabassi, “Discrete Instantaneous Frequency and Its Computation,” IEEE Transactions on Signal Processing, Vol. 41, No. 5, May 1993, pp. 1867-1880.
　　10. M. S. Scher, S. G. Dokianakis, M. Sun, D. A. Steppe, R. D. Guthrie, and R. J. Sclabassi, “Rectal Temperature Changes During Sleep State Transitions in Term and Preterm Neonates at Postconceptional Term Ages,” Pediatric Neurology, Vol. 10, No. 3, 1994, pp. 191-194.
　　11. M. S. Scher, M. Sun, D. A. Steppe, D. L. Banks, R. D. Guthrie, and R. J. Sclabassi, “
　　Comparisons of EEG Sleep State-Specific Spectral Values between Healthy Fullterm and
　　Preterm Infants at Comparable Postconceptional Ages,” Sleep Vol. 17, No. 1, 1994, pp. 47-51.
　　12. M. Sun, C-C. Li, H. Szu, Y. Zhang, and R. J. Sclabassi, “Symmetrical Wavelet Transforms for Edge Localization,” Optical Engineering - The Journal of SPIE, Vol. 33, No. 7, 1994, pp. 2272-2281.
　　13. M. S. Scher, M. Sun, D. A. Steppe, R. D. Guthrie, and R. J. Sclabassi, “ Comparisons of EEG Spectral and Correlation Measures in All-Night Recordings between Fullterm and Preterm Infants at Matched Postconceptional Term Ages,” Pediatric Neurology, Vol. 10,pp. 104-108, 1994.
　　14. M. S. Scher, D. A. Steppe, S. G. Dokianakis, M. Sun, R. D. Guthrie, and R. J. Sclabassi,“Cardiorespiratory Behavior During Sleep in Fullterm and Preterm Neonates at Comparable Postconceptional Ages,” Pediatric Research, Vol. 36, No. 6, 1994, pp. 738-744.
　　15. H. Hsin, C. C. Li, M. Sun, and R. J. Sclabassi, “An Adaptive Training Algorithm for Back-Propagation Neural Networks,” IEEE Transactions on Systems, Man, and Cybernetics,Vol. 25, 1995, pp. 512-514.
　　16. M. S. Scher, S. G. Dokianakis, M. Sun, D. A. Steppe, R. D. Guthrie, and R. J.Sclabassi, “Computer Classification of Sleep in Preterm and Fullterm Neonates at SimilarPostconceptional Term Ages,”, Sleep, Vol. 19, No. 1, 1996, pp. 18-25.
　　17. M. Sun, S. Qian, X. Yan, S.B. Baumman, X-G. Xia, R.E. Dahl, N.D. Ryan, and R.J.Sclabassi, ”Localizing functional activity in the brain through time-frequency analysis andsynthesis of the EEG,” Proceedings of the IEEE, Special Issue on time-frequency analysis,Vol. 84, Sept. 1996, pp. 1302-1311.
　　18. F-C. Tsui, C. C. Li, M. Sun and R. J. Sclabassi, “Acquiring, modeling, and predictingintracranial pressure in the intensive care unit,” Biomedical Engineering Journal, specialissue on Applications, Basis, and Communications, Vol. 8, No. 6, 1996, pp. 566-578.
　　19. M. Sun, “An efficient algorithm for computing multishell spherical head models for EEGsource localization,” IEEE Transactions on Biomedical Engineering, Vol. 44, No. 12, 1997,pp.1243-1252.
　　20. Y-T. Wu, M. Sun, and R. J. Sclabassi, “A Comparison of Orthogonal search and canonicalvariate analysis for the identification of neurobiological systems”, Annals of BiomedicalEngineering, Vol. 27, 1999, pp. 592-606.

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