植被生态与海岸带遥感

2010. 09 – 2014. 12 北京师范大学 地图学与地理信息系统 博士学位
2003. 09 – 2005. 12 美国南达科他州州立大学 地理学 硕士学位
1994.09 – 1998.06 武汉测绘科技大学
（现武汉大学） 计算机图形图像 学士学位

2019. 03 – 至今 中科院空天信息创新研究院 中科院数字地球重点实验室 副主任
2015. 02 – 至今 中科院遥感与数字地球研究所（现中科院空天信息创新研究院） 研究员
2014. 11 – 至今 海南省地球观测重点实验室 副主任
2008.01 – 2015.01 中科院对地观测与数字地球科学中心，遥感与数字地球研究所 副研究员
2005.10 – 2007.12 美国地质调查局（USGS）地球资源观测与科学中心（EROS） Environmental Scientist
1998.07 – 2003.06 中国测绘科学研究院 助理研究员

1. 2013.01–2016.12  国家自然科学基金面上项目“基于多源遥感协同的草原生物量动态预测模型研究”   项目负责人
2. 2014.01–2016.12  国土资源部公益行业专项“山海原一体化立体规划与优化配置技术研究”   课题负责人
3. 2015.01–2016.12  海南省科技合作专项资金项目“运用遥感和空间模型监测和模拟海南省城市化进程”   项目负责人
4. 2016.01–2017.12  海南省重点研发计划“多源遥感协同的海南海岸带生态环境监测与预警一体化服务信息平台开发”   项目负责人
5. 2016.01–2018.12  海南省重大科技计划项目“海南省资源环境遥感动态监测应用示范”  课题负责人
6. 2016.01–2020.12  中科院国际合作局对外合作重点项目“泛第三极环境一带一路协同发展”之“‘一带一路’典型海域与海岸带环境变化”   子课题负责人
7. 2017.01–2019.12  国家发改委促进大数据发展重大工程专项“一带一路”遥感专题信息产品和系统开发   课题负责人
8. 2018.01–2021.12  国家自然科学基金面上项目“欧亚干旱区碳水通量多模式动态模拟及分析研究”   项目负责人
9. 2018.01–2022.12  中国科学院战略性先导科技专项子课题“海上丝绸之路海岸带生态环境监测与评估”   子课题负责人
10. 2019.01-2022.12  海南省重大科技计划项目“基于天基大数据的海南省生态资源监管关键技术与应用”课题负责人
11. 2020.08-2020.12  中国国土勘测规划院“三江源及三江平原湿地遥感动态监测研究”   项目负责人
12. 2020.05-2020.11  自然资源部国土卫星遥感应用中心项目“定量遥感本底支撑数据集采购-典型内陆湖库及植被历史实测光谱数据采购”   项目负责人
13. 2021.01-2024.12  国家自然科学基金面上项目“基于陆海协同作用的红树林生产力遥感模型研究”   项目负责人

1.  2014.09 “对地观测大数据应对气候变化”，联合国“全球脉动”奖    团队奖
2.  2015.06 “全球地表碳水通量和大气CO2浓度遥感时空模拟”项目，获得2015年测绘科技进步奖一等奖   排名第1

专著：
1. 蒋金豹，陈云浩，李京，张丽，何汝艳，乔小军. 胁迫条件下的植物高光谱遥感实验研究——以条锈病、水浸与CO2泄漏胁迫为例. 科学出版社，北京, 2016.
2. 张丽，蒋金豹，李通. 建设用地空间拓展规划与优化配置. 科学出版社，北京，2018
3. 张丽, 廖静娟, 白林燕，朱岚巍，薛存金，程博. 海南海岸带变迁遥感监测. 海南出版社, 海南. 2019.
4. 张丽, 李通，叶回春，廖静娟, 白林燕，薛存金. 海南海岸带资源与环境遥感监测与分析. 海南出版社, 海南. 2021.
5. 张丽, 闫敏，陈博伟. 陆地生态系统通量模拟原理和方法. 科学出版社，北京，2021.

SCI论文:
1. Wang, Cuizhen, Raymond Hunt, Li Zhang, and Huadong Guo. Phenology-assisted classification of C-3 and C-4 grasses in the US Great Plains and their climate dependency with MODIS time series. Remote Sensing of Environment, 2013,138:90-101.
2. Wang, C., Guo, H., Zhang, L., Qiu, Y., Sun, Z., Liao, J., and Zhang, Y. Improved alpine grassland mapping in the Tibetan Plateau with MODIS time series: a phenology perspective. International Journal of Digital Earth, 2015: 8(2): 131-150. DOI: 10.1080/17538947.2013.860198.
3. Feng Tian, Yunjia Wang, Rasmus Fensholt, Kun Wang, Li Zhang, and Yi Huang. Mapping and Evaluation of NDVI Trends from Synthetic Time Series obtained by Blending Landsat and MODIS Data around a Coalfield on the Loess Plateau. Remote Sens , 2013,5:4255-4279. DOI 10.3390/rs5094255.
4. Rigge, M.B., Wylie, B.K., Zhang, L., and Boyte, S.P. Influence of management and precipitation on carbon fluxes in Great Plains grasslands. Ecological Indicators, 2013,34,:590-599.
5. Zhang, L., Guo, H., Ji, L., Lei, L., Wang, C., Yan, D., Li, B., and Li, J. Vegetation greenness trend (2000 to 2009) and the climate controls in the Qinghai-Tibetan Plateau. Journal of Applied Remote Sensing, 2013, 7(1). DOI 10.1117/1.JRS.7.073572.
6. Y.J. Xue, S.G. Liu, L. Zhang, &Y.M. Hu. Integrating Fuzzy Logic with Piecewise Linear Regression for Detecting Vegetation Greenness Change in the Yukon River Basin. Alaska International Journal of Remote Sensing. 2013,34(12):4242–4263.
7. Z. C. Zeng, L. P. Lei, L. J. Guo, L. Zhang, &B. Zhang. Incorporating temporal variability to improve geostatistical analysis of satellite-observed CO2 in China. Chinese Sci Bull, 2013;58(16):1948. DOI 10.1007/s11434-012-5652-7.
8. Zhang, L., Guo, H., Jia, G., Wylie, B.K., Gilmanov, T.G., Howard, D.M., Ji, L., Xiao, J., Li, J., Yuan, W., Zhao, T., Chen, S., Zhou, G., and Kato, T. Net ecosystem productivity of temperate grasslands in northern China—an upscaling study. Agricultural and Forest Meteorology, 2014,184:71-81.
9. Zhang, L., Guo, H., Wang, C., Ji, L., Li, J., Wang, K., and Dai, L. The long-term trends (1982-2006) in vegetation greenness of the alpine ecosystem in the Qinghai-Tibetan Plateau. Environmental Earth Sciences, 2014,72:1827-1841.
10. Li Zhang, Jingfeng Xiao, Li Li, Liping Lei, Jing Li. China’s sizeable and   uncertain carbon sink. A perspective from GOSAT. Chin. Sci. Bull, 2014,59(14):1547-1555. DOI 10.1007/s11434-014-0260-3.
11. Zhang, B., Zhang, L.*, Guo, H., Leinenkugel, P., Zhou, Y., Li, L., and Shen, Q. Drought impact on vegetation productivity in the Lower Mekong Baisn. International Journal of Remote Sensing, 2014,35: 2835-2856. (*Corresponding author)
12. Y. Zhou, L. Zhang*, J.F. Xiao, S.P. Chen, &Kato, T. A comparsion of satellite-derived vegetation indices for approximating gross primary productivity of grasslands. Rangeland Ecology & Management. 2014, 67(1): 9 -18.
13. B. Li, L. Zhang*, Q. Yan, &Y.J. Xue. Application of piecewise linear regression in the detection of vegetation greenness trends in the Tibetan Plateau. International Journal of Remote Sensing, 2014, 35(4):1526-1539. DOI 10.1080/01431161.2013.878066.
14. Lei Ji, Li Zhang, Jennifer Rover, Bruce Wylie, Xuexia Chen. Geostatistical estimation of signal-to-noise ratios for spectral vegetation indices. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 96: 20-27.
15. Xiao, J., Zhou, Y., Zhang, L. Contributions of natural and human factors to increases in vegetation productivity in China. Ecosphere, 2015, 6(11), 233. http://dx.doi.org/10.1890/ES14-00394.1.
16. Zhou, Y., Zhang, L. *, Fensholt, R., Wang, K., Vitkovskaya, I., and Tian F. Climate
Contributions to Vegetation Variations in Central Asian Drylands: Pre- and Post-USSR
Collapse. Remote Sensing. 2015, 7, 2449-2470. doi:10.3390/rs70302449. 
17. Wang, K., Zhang, L.*, Qiu, Y., Ji, L., Tian, F., Wang, C., and Wang, Z.. Snow effects on alpine vegetation in the Qinghai-Tibetan Plateau. International Journal of Digital Earth,
2015, 8(1), 56-73; DOI: 10.1080/17538947.2013.848946. (*Corresponding author)
18. Wang, C., Guo, H., Zhang, L., Liu, S., Qiu, Y., and Sun, Z. Assessing phenological change and climatic control of alpine grasslands in the Tibetan Plateau with MODIS time series. International journal of biometeorology, 2015, 59(1), 11-23. DOI: 10.1007/s00484-014-0817-5.
19. Zhang, L., J. Xiao, Y. Zhou, Y. Zheng, J. Li, and H. Xiao. 2016. Drought events and their effects on vegetation productivity in China. Ecosphere 7(12):e01591. 10.1002/ecs2.1591
20. Zhang, B., Zhang, L.*, Xie, D., Yin, X., Liu, C., Liu, G. Application of Synthetic NDVI Time Series Blended from Landsat and MODIS Data for Grasslands Biomass Estimation. Remote Sensing, 2016, 8,10; doi:10.3390/rs8010010.
21. Bruce Wylie, Daniel Howard , Devendra Dahal, Tagir Gilmanov, Lei Ji, Li Zhang, Kelcy Smith. Grassland and Cropland Net Ecosystem Production of the U.S. Great Plains: Regression Tree Model Development and Comparative Analysis. Remote Sens. 2016, 8, 944; doi:10.3390/rs8110944.
22. Ma, R., Zhang, L.*, Tian, X., Zhang, J., Yuan, W., Zheng, Y., Zhao, X., Kato, T. Assimilation of remotely sensed leaf area index into a dynamic vegetation model for gross primary productivity estimation. Remote Sensing, 2017, 9(188): 1~21
23. Zheng, Y., Zhang, L.*, Xiao, J., Yuan, W., Yan, M, Li, T., Zhang, Z. Sources of uncertainty in gross primary productivity simulated by light use efficiency models: Model structure, parameters, input data, and spatial resolution. Agricultural and Forest Meteorology, 2018, 263, 242-257.
24. Guo Huadong,Jie Liu, Qiu Yubao, Massimo Menenti, Fang Chen, Paul F. Uhlir, Zhang Li, et al. The Digital Belt and Road program in support of regional sustainability [J]. International Journal of Digital Earth, 2018, 11(7): 657-669.
25. Zhou Y., Zhang L.*, Xiao J, Williams CA, Vitkovskaya I, Bao A. Spatiotemporal Transition of Institutional and Socioeconomic Impacts on Vegetation Productivity in Central Asia over Last Three Decades. Science of the Total Environment, 2019, 658, 922-935.
26. Yan, M., Li, Z., Tian, X., Zhang, L.*, Zhou, Y. Improved simulation of carbon and water fluxes by assimilating multi-layer soil temperature and moisture into process-based biogeochemical model. Forest Ecosystems, 2019, 6(1):12.
27. Jingjuan Liao, Jianing Zhen, Li Zhang, Graciela Metternicht. Understanding dynamics of mangrove forest on protected areas of Hainan Island, China: 30 years of evidence from Remote Sensing. Sustainability. 2019, 11, 5356; doi:10.3390/su11195356.
28. Li, T., Guo, H. D., Zhang, L., Nie C. W., Liao J. J., Liu, G. Simulation of Moon-Based Earth Observation Optical Imaging Mode for Global Change Study. Froniter of Earth Science, 2019.
29. Mahmood R., Ahmed N., Zhang L., Li G. Coastal Vulnerability Assessment of Meghna Estuary of Bangladesh using Integrated Geospatial Techniques. International Journal of Disaster Risk Reduction, 2019.
30. Xiao, J., Chevallier, F., Gomez, C., Guanter, L., Hicke, J.A., Huete, A.R., Ichii, K., Ni, W., Pang, Y., Rahman, F.F., Sun, G., Yuan, W., Zhang, L., Zhang, X. (2019) Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years. Remote Sensing of Environment, 233, 111383. https://doi.org/10.1016/j.rse.2019.111383.
31. Emily A. Smail, Paul M. DiGiacomo, Sophie Seeyave, Samy Djavidnia, Louis Celliers, Pierre-Yves Le Traon, Jeremy Gault, Elva Escobar-Briones, Hans-Peter Plag, Christine
Pequignet, Lenore Bajona, Li Zhang, Jay Pearlman, Andy Steven, Jonathan Hodge, Marie-Fanny Racault, Curt Storlazzi, William Skirving, Ron Hoeke, John Marra, Ap van Dongeren, Frank Muller-Karger, Douglas Cripe & Daniel Takaki (2019): An introduction to the ‘Oceans and Society: Blue Planet’ initiative. Journal of Operational Oceanography, DOI: 10.1080/1755876X.2019.1634959.
32. Li Zhang, Jingfeng Xiao,Yi Zheng, Sinan Li, Yu Zhou. Increased carbon uptake and water use efficiency in global semi-arid ecosystems. Environmental Research Letters. 15 (2020) 034022. 
33. Sinan Li, Li Zhang*, Rui Ma, Min Yan, Xiangjun Tian. Improved ET assimilation through incorporating SMAP soil moisture observations using a coupled process model: A study of U.S. arid and semiarid regions. Journal of Hydrology 590 (2020) 125402.
34. Mahmood R., Ahmed N., Zhang L., Li G. Coastal Vulnerability Assessment of Meghna Estuary of Bangladesh using Integrated Geospatial Techniques. International Journal of Disaster Risk Reduction, 2020, 42, 101374. https://doi.org/10.1016/j.ijdrr.2019.101374.
35. Jia TANG, Jingyu ZENG, Li ZHANG, Rongrong ZHANG, Jinghan LI, Xingrong LI, Jie ZOU, Yue Zeng, Zhanghua Xu, Qianfeng WANG, Qing ZHANG. (2020). A modified flexible spatiotemporal data fusion model. Frontiers of Earth Science, DOI: 10.1007/s11707-019-0800-x.
36. Li, T., Guo, H. D., Zhang, L., Nie C. W., Liao J. J., Liu, G. Simulation of Moon-Based Earth Observation Optical Imaging Mode for Global Change Study. Froniter of Earth Science, 2020, 14：236-250.
37. Luo J, Pu R, Ma R, Wang X, Lai X, Mao Z, Zhang L, Peng Z, Sun Z. Mapping Long-Term Spatiotemporal Dynamics of Pen Aquaculture in a Shallow Lake: Less Aquaculture Coming along Better Water Quality. Remote Sensing. 2020,12, 1866; doi:10.3390/rs12111866
38. Zhe Sun, Juhua Luo, Jingzhicheng Yang, Qiuyan Yu, Li Zhang, Kun Xue and Lirong Lu. Nation-Scale Mapping of Coastal Aquaculture Ponds with Sentinel-1 SAR Data Using Google Earth Engine. Remote Sens. 2020, 12, 3086; doi:10.3390/rs12183086
39. Hasan, M.E.; Nath, B.; Sarker, A.R.; Wang, Z.; Zhang, L.; Yang, X.; Nobi, M.N.; Røskaft, E.; Chivers, D.J.; Suza, M. Applying Multi-Temporal Landsat Satellite Data and Markov-Cellular Automata to Predict Forest Cover Change and Forest Degradation of Sundarban Reserve Forest, Bangladesh. Forests 2020, 11(9), 1016.
40. Hasan, M. E., Zhang, L., Dewan, A., Huadong, G., Mahmood, R. 2020. Spatiotemporal pattern of forest degradation and loss of ecosystem function associated with Rohingya influx: a geospatial approach. Land Degradation and Development. (2020).
41. Zheng, Y., Shen, R., Wang, Y., Li, X., Liu, S., Liang, S., Chen, J.M., Ju, W., Zhang, Li, & Yuan, W. Improved estimate of global gross primary production for reproducing its long-term variation, 1982–2017. Earth System Science Data 12.4 (2020): 2725-2746.

核心论文:
1. 李斌，燕琴，张丽，梁勇. 长江中游洪涝灾害特征的MODIS时序监测与分析 [J]. 武汉大学学报(信息科学版),2013,38(7):789-793.
2. 闫敏，张丽*，燕琴，闫冬梅，尤淑撑. 国产卫星数据在土地利用现状宏观监测中的应用评价[J]. 国土资源遥感,2013,25(1):137-142.
3. 王昆，张丽，王志勇，田丰. 基于半方差函数的STARFM改进模型[J]. 测绘科学,2013,38(3):140-142.
4. 尹晓利，张丽，许君一，刘良云. 融合数据在草地生物量估算中的应用[J]. 国土资源遥感,2013, 25(4) : 147-154.
5. 李娜，张丽，闫冬梅，张增祥，杨林平. 基于CLUE-S模型的天津滨海新区土地利用变化情景模拟[J]. 遥感信息,2013,28(4) : 62-74.
6. 李亚楠，张丽*，廖静娟，王翠珍. 藏北中部地区草地退化遥感监测[J]. 遥感技术与应用,2013,28(6):1069-1075.
7. 周玲，张丽*，许君一，闫敏，李通. 漓江流域土地利用变化分析及预测[J]. 水土保持研究,2013, 20(6):218-223.
8. 刘双俞, 张丽, 王翠珍, 闫敏, 周宇, 鹿琳琳. 基于MODIS数据的青藏高原植被物候变化趋势研究(2000年～2010年), 遥感信息, 2014, 29(6):25-30
9. 闫敏，张丽*，燕琴，高莉.特定目标识别技术在土地核查中的应用研究[J]. 测绘科学, 2014,39(010):71-75.
10. 戴琳,张丽*,王昆,王仁礼. 蒙古高原植被变化趋势及其影响因素[J]. 水土保持通报, 2014, 34(5) , 218-225.
11. 李丽，张丽*， 燕琴，梁勇.基于GOSAT数据集的全球碳通量分析[J]. 地理与地理信息科学. 2014, 30(1): 91-96. (*通讯作者).
12. 黄登成,张丽*,尹晓利,王昆.数据融合技术在提高NPP估算精度中的应用.计算机工程与应用, 2014, 50(22): 193-198.
13. GUO Hua-Dong, ZHANG Li, ZHU Lan-Wei. Earth observation big data for climate change research. Advances in Climate Change Research, 2015, 6(2): 108-117.
14. 张建财, 张丽*, 郑艺, 田向军, 周宇. 基于LPJ模型的中亚地区植被净初级生产力与蒸散模拟和分析.草业科学, 2015, 32(11): 1721-1729.
15. 周玲,张丽,许君一,刘广.基于SEBAL模型的漓江流域蒸散量变化分析[J],水土保持研究,2015,22(4):332-337.
16. 李新武,张丽,郭华东,傅文学,鹿琳琳,邱玉宝,王心源,贾根锁.“丝绸之路经济带”干旱-半干旱区生态环境全球变化响应的空间认知[J].中国科学院院刊,2016,(5):559-566.
17. 李通，张丽*，申茜，张炳华. 湄公河下游洪灾淹没面积多源遥感时序监测分析.应用科学学报,2016,34(1)：75-83.
18. 刘春静,张丽*,周宇,张炳华,侯小丽.中国新疆及中亚五国干旱区草地覆盖度反演与分析.草业科学,2016,33(5):861-870.
19. 张丽,林珲,Mazlan bin Hashim, Dewayany Sutrisno, Myint Myint Khaing, Mohamad S. Hossain, Zin Mar Lwin,张鸿生,朱岚巍.空间观测海上丝绸之路沿线海岸带资源环境格局[J]. 中国科学院院刊, 2017, 32(Z1): 26-33
20. 郭华东, 邱玉宝, Massimo Menenti,陈方,张丽, John van Genderen, Ishwaran Natarajan, Simon Hodson, Paul Uhlir, 刘洁, 梁栋. “数字丝路”国际科学计划 —— 护航“一带一路”可持续发展[J]. 中国科学院院刊, 2017 32(Z1): 2-9
21. 郑艺, 张丽*, 周宇, 张炳华. 1982—2012年全球干旱区植被变化及驱动因子分析. 干旱区研究, 2017, 34(1): 59-66.
22. 韩瑞丹，张丽*，郑艺，王恒，张静 . 曼谷城市扩张生态环境效应研究. 生态学报，2017, 37（19）.
23. 毕森, 王恒, 张丽*, 李通, 刘东, 韩瑞丹. 基于不透水面的海南港口城市扩张分析. 应用科学学报, 2017, 35(3):346-354.
24. 张静，张丽*，韩瑞丹，郑艺. "中东亚干旱区土地覆盖变化和人类占用强度变化特征分析." 草业科学， 2017,34（5）:975-987.
25. 李通,张丽*,韩向旭,肖金华,杨莹.“海—原”建设用地空间一体化拓展与优化配置[J].地理与地理信息科学.2017,03,98-105.
26. 张丽, 王翠珍, 杨昊翔, 等. 2000～2015年青藏高原地区物候、草地覆盖种类、草地生物量数据集（讨论版）[J/OL]. 中国科学数据, 2017. DOI: 10.11922/csdata.170.2017.0132.
27. 隋燕,张丽*，穆晓东，王志勇，李通，王恒，甄佳宁，王萍. 海南岛海岸线变迁遥感监测与分析[J]. 海洋学研究. 2018, 36(2):36-43
28. 王恒，杨昊翔，张丽*. 海上丝绸之路沿线区域植被覆盖变化特征.遥感技术与应用, 2018, 33(4): 703-712.
29. 王恒, 张丽*, 毕森, 韩瑞丹. 海南城市发展进程遥感监测分析与模拟.应用科学学报, 2018, 36(5): 798-807
30. 李通,张丽*,韩向旭,郑艺.福建省建设用地资源“山海原”一体化优化配置.应用科学学报, , 2018, 36(4):655-666.
31. 毕京鹏,张丽*,宋茜茜,隋燕, 温礼. 1987–2017年海南岛海岸线数据集[J/OL]. 中国科学数据, 2019, 4(2). DOI: 10.11922/csdata.2018.0066.zh.
32. 张丽,李国庆,朱岚巍,郭华东. 海南省遥感大数据服务平台建设与应用示范[J]，遥感学报，2019,23(2): 111–121.
33. 宋茜茜，郑艺，李通，薛磊，张丽. 新疆则克台堰塞湖地区生态环境质量变化分析[J]，新疆地质，2019,37(1):134-137.
34. 毕京鹏,张丽*,王萍,隋燕,穆晓东,王萍. 海岸水边线图像分割提取算法的数学形态学改进及其区域适应性分析[J]，地理与地理信息科学，2019, 35(1): 20-29.
35. 宋茜茜, 马芮, 李通, 张丽*, 兰小机. 新疆那拉提镇洪涝灾的快速评估[J]. 测绘科学, 2019(12): 72-78.
36. 毕京鹏，张丽*，王萍，李通，杨昊翔，毕森.基于对象及隶属规则的海岸水边线提取方法[J]. 海岸工程, 2019, 38(4):247-260.
37. 张丽,廖静娟,袁鑫,穆晓东,宋茜茜,毕京鹏.1987—2017年海南岛海岸线变化特征遥感分析[J].热带地理,2020,40(04):659-674.
38. 毕森，张丽*，谷雨，王恒，温礼，李通，毕京鹏. 21世纪海上丝绸之路沿线港口及港城关系变化分析[J].中国科学院大学学报. 2020, 37(1):74-82.
39. 李一琼,白俊武,张丽,穆晓东.海南岛自然保护区地表土地覆盖变化监测[J].测绘科学,2020,45(07):82-90.
40. 张云飞, 杨昊翔, 张丽*, 宋茜茜, 毕京鹏, 李扬. 基于DSAS和GaBor滤波增强的海南人工岛建设对砂质岸线变化的影响分析[J]. 江西理工大学学报,2020,41(1):28-35.
41. 孙喆,罗菊花,杨井志成,张丽，越南近岸水产养殖塘遥感提取及其对近海叶绿素a影响分析，湿地科学，207-217, 2020.

招生方向：植被生态和海岸带遥感

硕士研究生
2023.06 RAZA SYED AHMED（巴基斯坦） ANSO 奖学金

2022.06 付甜梦 
2021.06 李斯楠 
2020.06 杨昊翔 腾讯（产品经理）
2019.06 毕森 枣庄青年人才储备中心
2018.06 马芮 武汉大学（攻博）
2018.06 王恒 华为（产品经理）
2017.06 郑艺 中山大学（攻博）
2016.06 张炳华 中科院地理所（攻博）
2015.06 周宇 美国克拉克大学（攻博）

博士研究生
2021.06 Mohammad Emran Hasan
（孟加拉国） CAS-TWAS奖学金
2022.06 Riffat Mahmood
（孟加拉国） CAS-TWAS奖学金
2025.06 阮琳琳 
2025.06 张博 
2026.06 董宇琪 
2026.06 左键