孙志斌，教授，主要研究方向为数据同化、应用数学、机器学习、卫星遥感应用。曾任SPIE Remote Sensing and Modeling of Ecosystems for Sustainability conference committee (2014-2018)委员会委员，担任Science of the Total Environment和Atmosphere的编委会委员和客座编辑。
教育经历
2002.09-2007.08 |
（USA）University of Maryland，Applied Mathematics，PhD |
1997.09-2000.07 |
（中国）中南大学，应用数学，硕士 |
1993.09-1997.07 |
（中国）中南大学，应用数学，学士 |
工作经历
2022-至今 |
女王调教-女王调教视频-女王 调教小说
，教授 |
2014-2021 |
（USA）Colorado State University，研究员 |
2011-2013 |
（USA）NASA/USRA，研究员 |
2008-2010 |
（USA）Princeton University，博士后 |
研究方向
数据同化、应用数学、机器学习、数值计算、卫星遥感应用。
学术科研成果
代表性论文：
1. Zhibin Sun, Ni-Bin Chang*, Chi-Farn Chen, Wei Gao, Lake algal bloom monitoring via remote sensing with biomimetic and computational intelligence, International Journal of Applied Earth Observation and Geoinformation, Volume 113, 2022, 102991, ISSN 1569-8432,//doi.org/10.1016/j.jag.2022.102991.
2. Sun Z, Qian W, Huang Q, Lv H, Yu D, Ou Q, Lu H, Tang X*. Use Remote Sensing and Machine Learning to Study the Changes of Broad-Leaved Forest Biomass and Their Climate Driving Forces in Nature Reserves of Northern Subtropics. Remote Sensing. 2022; 14(5):1066.//doi.org/10.3390/rs14051066
3. Sun, Z., Chang, N.B.*, Chen, C.F., Mostafiz, C. and Gao, W., 2021. Ensemble Learning via Higher Order Singular Value Decomposition for Integrating Data and Classifier Fusion in Water Quality Monitoring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, pp.3345-3360.
4. Liu, Y.*, Tang, A., Sun, Z.*, Tang, W., Cai, F. and Wang, C., 2020. An Integrated Retrieval Framework for Similar Questions: Word-semantic Embedded Label Clustering-LDA with Question Life Cycle. Information Sciences.//doi.org/10.1016/j.ins.2020.05.014
5. Mao, W., Zhao, X., Zhang, T., Sun, Z.*, Li, Y. and Smith, M.D., 2020. Divergent interactive impacts on productivity and functional diversity from fluctuated snowfall and continuous nitrogen pollution within Inner Mongolian. Science of The Total Environment, 704, p.135443.
6. Chen, M.*, Sun, Z.*, Davis, J.M., Liu, Y.A.*, Corr, C.A. and Gao, W., 2019. Improving the mean and uncertainty of ultraviolet multi-filter rotating shadowband radiometer in situ calibration factors: utilizing Gaussian process regression with a new method to estimate dynamic input uncertainty. Atmospheric Measurement Techniques, 12(2), pp.935-953.
7. Sun, Z.*, Davis, J. and Gao, W., 2018. Estimating error covariance and correlation region in UV irradiance data fusion by combining TOMS-OMI and UVMRP ground observations. IEEE Transactions on Geoscience and Remote Sensing, 56(1), pp.355-370.
8. Mao, W., Zhao, X., Sun, Z.*, Felton, A.J., Zhang, T., Li, Y. and Smith, M.D., 2018. Limiting similarity mediates plant community niche hypervolume across a desert-steppe ecotone of Inner Mongolia. Environmental and Experimental Botany, 153, pp.320-326.
9. Liu, Yan-An, Zhibin Sun*, Maosi Chen, Hung-Lung Allen Huang, and Wei Gao*. "Assimilation of atmospheric infrared sounder radiances with WRF-GSI for improving typhoon forecast." Frontiers of Earth Science (2018): 1-11.
10. Sun, Z.* and W. Kuang, An ensemble algorithm based component for geomagnetic data assimilation. Terr. Atmos. Ocean. Sci., 26, 53-61, doi: 10.3319/TAO.2014.08.19.05(GRT), 2015.
11. Sun, Z.*, L.-Y. Oey and Y.-H. Zhou, Skill-Assessments of Statistical and Ensemble Kalman-Filter Data Assimilative Analyses using Surface and Deep Observations in the Gulf of Mexico, Frontiers of Earth Science, 7, 271-281, doi:10.1007/s11707-013-0377-8, 2013.
12. Sun, Z., A. Tangborn* and W. Kuang, Data Assimilation in a Sparsely Observed MHD System, Nonlinear Processes in Geophysics, 14, 1-12, 2007.
