高学静副教授个人资料

1、高学静副教授个人资料1、个人专长：高学静副教授的专长集中在图像处理,模式识别和数据挖掘技术。在新算法的设计和研究上，她成功地运用在多尺度医学图像处理和系统生物信息学领域。她领导并主持开发了世界上第一个四维亚细胞动态跟踪和建模 (ICellDAS, Intracellular Cell Dynamics System)系统. 此系统克服了复杂亚细胞结构的动态分析和定量研究。不同于通常单个亚细胞结构的研究，IcellDAS能有效自动地跟踪多个同类或异类亚细胞结构并提供动态分析和显示。这个研究会推动分子和细胞生物学的发展，从而从应用科学的角度更进一步带动和发展了图像处理技术。由于该创新性研究成果及其

2、运用，她获得了2006年美国自然科学基金的CAREER Award，前称总统奖。 高学静副教授的另一个杰出的贡献是蛋白生物标记信息系统(ProBIS， Proteomics Biomarker Information System)。通过最新模式识别和数据挖掘技术的设计，运用先进的蛋白质谱分析仪， ProBIS 能提供最小微创临床疾病的诊断，治疗愈后和新药靶细胞的设计。此研究成果在2006年获得了美国自然科学基金的赞助。高教授目前正在研究和开发的盲人智能视觉系统集先进的传感器设计，微电子线路设计，和图像信息处理与一体， 已经引起了广泛的反响。除了新闻媒体的报导和工业界的兴趣，美国盲人协会(Am

3、erican Blind Association) 充分赞同此研究的重要性。高学静教授领导的BioVIL实验室与不同的学科和院校广泛合作, 在交叉学科的研究上打造世界领先水平。她曾获得德州大学阿灵顿分校杰出青年教授奖(2007)和卓越研究奖(2008, 2009)。由于高教授在多尺度图像处理和系统生物信息学领域的贡献，2010年她被推荐为美国电气和电子工程师协会 (IEEE) 生物信息委员会 (Bioinformatics Committee)执行委员和秘书长。2、领导（参与）过的主要项目起止时间项目性质和来源经费总额参与人数申报人的具体职位和任务1/1/2006 12/31/2011“Car

4、eer: Four Dimensional Subcellular Structure Tracking and Modeling for Cell Dynamics Study,” 四维亚细胞动态跟踪和建模, 美国国家科学基金会 (National Science Foundation) $564,077 1 主持人 (PI)7/1/2006 6/30/2010“Collaborative: Proteomic Biomarker Information System,” 蛋白生物标记信息系统, 美国国家科学基金会 (National Science Foundation)$364,575

5、3 主持人 (PI)7/1/2010 4/30/2013”Transrectal Imaging of Prostate Cancer using a Globally Convergent Method,” 全局收敛法前列腺癌成像, 国家卫生研究院 (National Institute of Health)$ 958,660 3共同主持人 (co-PI) 9/22/2008 8/31/2012“ Biomaterial-Mediated Fibrotic Responses,” 生物材料纤维化排异研究, 国家卫生研究院 (National Institute of Health)$1,32

6、7,680 3共同主持人 (co-PI)3、发表的主要学术论文Thakoor and J. Gao, “Branch-and-bound for model selection and its computational complexity,” IEEE Transactions on Knowledge and Data Engineering, vol. 23, no. 5, pp. 655-668, 2011.J.H. Oh and J. Gao, “Fast kernel discriminant analysis for classification of liver cancer

7、 mass spectra,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 8, no. g, 1522-1534, 2011.S. Li, J. Nyagilo, D.:w Dave, B. Zhang, and J. Gao, “Eigenspectra, a robust regression method for multiplexed surface enhanced Raman spectra analysis,” International Journal of Data Mini

8、ng & Bioinformatics, in press, 2012.D. Kim, X. Wang, C. Yang, and J. Gao, “Learning biological network using mutual information and conditional independence,” BMC Bioinformatics, vol. 11, Suppl 3, 2010.N. Thakoor, J. Gao, and V. Devragen, “Multibody structure-and-motion segmentation by branch-and-bo

9、und model selection,” IEEE Transactions on Image Processing, vol. 19, no. 6, pp. 1393-1402, 2010.J.H. Oh, Y. Lotan, P. Gurnani, K. Rosenblatt, and J. Gao, ”Prostate cancer biomarker discovery using high performance mass spectral serum profiling,” Computer Methods and Programs in Biomedicine (Elsevie

10、r publisher), vol. 96, no. 1, pp. 33-41, 2009.J.H. Oh and J. Gao, “A kernel-based approach for detecting outliers in high-dimensional biological data,” BMC Bioinformatics (impact factor: 3.49), 10(Suppl 4): S7, April 2009.Y.B. Kim, C.R. Yang, and J. Gao, “Functional proteomic pattern identification

11、under low dose ionization radiation,” Artificial Intelligence in Medicine (Elsevier), vol. 49, no. 3, pp. 177-85,2010. J. Oh, A. Nandi, P. Gurnani, L. Knowles, Jo. Schorge, K. Rosenblatt, and J. Gao, “An extended Markov blanket approach to proteomic biomarker detection from high-resolution mass spec

12、trometry data,” IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 2, pp.195-206, 2009.N. Thakoor, J. Gao, and V. Devarajan, “Multi-hypothesis prior for segmentation of stereo disparity,” IEEE Signal Processing Letters, vol. 15, pp. 613-616, 2008.J. Oh, Y. Kim, P. Gurnani, K. R

13、osenblatt, and J. Gao, “Biomarker selection and sample prediction in multi-category disease on MALDI-TOF data,” Bioinformatics, (impact factor: 5.039), vol. 24, no. 16, pp. 1812-1818, 2008.Q. Wen, K. Luby-Phelps, and J. Gao, “Tracking multiple subcellular structures using a sequential Monte Carlo ap

14、proach,” International Journal of Data Mining & Bioinformatics, vol. 3, no. 3, pp. 314-332, 2009.N. Thakoor, J. Gao, and V. Devragen, “Multi-stage branch-and-bound merging for planar surface segmentation in disparity space,” IEEE Transactions on Image Processing, vol. 17, no. 11, pp. 2217-2226, 2008

15、.S. Pan, J. Rush, E.R. Peskind, D. Galasko, K. Chung, J. Quinn, J. Jankovic, J.B. Leverenz, C. Zabetian, C. Pan, Y. Wang, J. Oh, J. Gao, J. Zhang, T. Montine and J. Zhang, “Application of targeted quantitative proteomics analysis in human cerebrospinal fluid using an LC MALDI TOF/TOF platform,” Jour

16、nal of Proteome Research, (American Chemical Society, ISI impact factor 5.151), vol. 7, no. 2. pp. 720-730, 2008.N. Thakoor, J. Gao, and S. Jung, “Embedded planar surface segmentation system for stereo images,” Machine Vision and Applications (Springer), vol. 21, no. 2, pp. 189-199, 2010. S. Gopinat

17、h, Q. Wen, N. Thakoor, K. Luby-Phelps, and J. Gao, “A statistical approach for intensity loss compensation of confocal microscopy images,” Journal of Microscopy, vol. 230, pp. 143-159, 2008.N. Thakoor and J. Gao, “Automatic video object extraction with camera in motion,” International Journal of Ima

18、ge and Graphics, vol. 8, no. 4, pp. 573-600, 2008.N. Thakoor, J. Gao, and S. Jung, “Hidden Markov model based weighted likelihood discriminant for 2D shape classification,” IEEE Transactions on Image Processing, vol. 16, no. 11, pp. 2707-2719, 2007.H. Shu, Q. Liang, and J. Gao, “Wireless sensor netw

19、ork lifetime analysis using interval type-2 fuzzy logic systems,” IEEE Transactions on Fuzzy Systems, vol. 16, no. 2, pp. 416-427, 2008. J. Xue, G. Arbique, Michel Saint-Cyr, MD, Spencer Brown, MD, Dan Hatef , and J. Gao, “Four-dimensional vascular tree reconstruction using moving grid deformation,”

20、 Academic Radiology (Elsevier), vol. 14, no. 12, pp. 1540-1553, April 2007.K. Nojima, S. Brown, C. Acikel, J. Janis, G, Arbique, T. Abulezz, J. Gao, Q. Wen, K. Kurihara, R. Rohrich, “Defining vascular supply and territory of thinned perforator flaps: Part II. Superior gluteal artery perforator flap,

21、” Plastic and Reconstructive Surgery, vol. 118, no. 6, pp. 1338-1348, 2006.J. Gao, “New discoveries of image display size on observer performance, Academic Radiology (Elsevier), vol. 13, no. 4, pp.407-408, 2006.J. Oh and J. Gao, “A two-way parallel searching for peptide identification via tandem mas

22、s spectrometry,” Special Issue on Bioinformatics, Engineering Letters, (invited paper), vol. 13, no. 3, pp. 344-354, 2006.J. Oh, A. Nandi, P. Gurnani, L. Knowles, J. Schorge, K. Rosenblatt, and J. Gao, “Identifying biomarkers to predict early relapse in ovarian cancer,” Journal of Bioinformatics and

23、 Computational Biology (JBCB), vol.4, no. 6, pp. 1159-1179, 2006. J. Gao, A. Kosaka, and A. Kak, “A deformable model for human CT liver extraction,” Academic Radiology (Elsevier), vol. 12, no.9, pp. 1178-1189, 2005. J. Gao, A. Kosaka, and A. Kak, “A multi-Kalman filtering approach for video tracking

24、 of human-delineated objects in cluttered environments,” Computer Vision and Image Understanding (CVIU), (Elsevier) vol. 99, no. 1, pp. 1-57, 2005.4、获得的重要奖项、在国际学术组织兼职、在国际学术会议做重要报告等情况CAREER Award, National Science Foundation (NSF), 2006 美国国家科学基金会, 青年教授职业奖Outstanding Young Faculty Award, College of En

25、gineering, University of Texas at Arlington, 2007, 德州大学阿灵顿分校, 杰出青年教授奖Research Excellence Award (department level), College of Engineering, University of Texas at Arlington, 2007, 2008, 2009, 德州大学阿灵顿分校, 计算机与工程系, 卓越研究奖Editorial board member, International Journal of Data Mining and Bioinformatics (2008 - ), 编委, 国际数据挖掘与生物医学期刊.Secretary, IEEE CS Technical Committee on Bioinformatics. NS