中科大先研院研究生校内导师简历

李泽峰 特任研究员

姓名 李泽峰
学位/职称 特任研究员
所属单位 中国科学技术大学地球和空间科学学院
办公室电话 13129612925
Email zefengli@ustc.edu.cn
教育背景
2012年8月-2017年8月:美国佐治亚理工学院,地球和大气科学系,地球物理学博士
2008年8月-2012年6月:中国科学技术大学,地球和空间科学学院,地球物理学本科
研究领域
1. 人工智能地震学,将人工智能应用于地震数据处理、地震科学规律发现,其中包括地震监测、地震预警、震源过程、地球内部结构等; 
2. 分布式光纤地震学,将分布式光纤传感技术应用于地震监测、断层结构探测、浅地表成像、城市地下空间等领域。
任职经历
2020年9月-至今:中国科学技术大学,地球和空间科学学院,特任研究员
2017年9月-2020年8月:美国加州理工学院,地震学实验室,博士后
获得荣誉、奖项
2022年 Earthquake Science优秀青年专家论文
2022年 Earthquake Science优秀编委
2021年 研究成果入选2021中国光学十大社会影响力事件
2020年 入选中国科学院百人计划青年项目
2016年 佐治亚理工学院地球与大气科学系Kurt Frankel Award
主持、参与项目
安徽省科学技术厅,安徽省重点研发计划,2022M07020002,重点地区地震风险预测和震后应急响应综合系统研发和应用,2022-01至2024-12,子课题负责人
中华人民共和国科学技术部, 国家重点研发计划, 2021YFC30007, 基于大数据和人工智能的地震监测预测技术研究, 2021-12至2024-11,在研, 子课题负责人
中国科学技术大学, 青年创新重点基金, YT2080002006, 基于分布式光纤的地震监测系统开发, 2021- 01至2022-12, 主持
中国地震局地球物理研究所, 基本科研业务费专项, DQJB21Z05, 基于人工智能的地震观测台阵数据自动处理系统研发, 2021-01至2021-12, 结题, 参与
论文、著作、成果
24. Ma, S.#, Z. Li*, W. Wang (2022), Machine learning of source spectra for large earthquakes, Geophys. J. Int., 231(1), 692–702. 
23. Li, Z.* (2022), A generic model of global earthquake rupture characteristics revealed by machine learning, Geophys. Res. Lett., 49(8), e2021GL096464. 
22. Atterholt, J.*, Z. Zhan, Z. Shen, Z. Li (2022), A unified wavefield-partitioning approach for distributed acoustic sensing, Geophys. J. Int., 228(2), 1410-1418. 
21. Li, Z.* (2021b), Recent advances in earthquake monitoring II: Emergence of next-generation intelligent systems, Earthquake Science, 34, doi: 10.29382/eqs-2021-0054. 
20. Cui, X#, Z. Li*, and H. Huang (2021), Subdivision of seismicity beneath the summit region of Kilauea volcano: Implications for the preparation process of the 2018 eruption, Geophys. Res. Lett., 48(20), e2021GL094698. 
19. Li, Z.*, Z. Shen, Y. Yang, E. Williams, X. Wang, and Z. Zhan* (2021), Rapid response to the 2019 Ridgecrest earthquake with distributed acoustic sensing, AGU Advances, 2, e2021AV000395, doi: 10.1029/2021AV000395.
18. Li, Z.* (2021a), Recent advances in earthquake monitoring I: Ongoing revolution of seismic instrumentation, Earthquake Science, 34(2), 177-188, doi: 10.29382/eqs-2021-0011.
17. Yin, J., Z. Li*, M. Denolle (2021), Source time function clustering reveals patterns in earthquake dynamics, Seismo. Res. Lett., 92, 2343-2353, doi:10.1785/0220200403.
16. Cheng, Y.*, Y. Ben-Zion, F. Brenguier, C. W. Johnson, Z. Li, P. Share, and F. Vernon (2020), An automated method for developing a catalog of small earthquakes using data of a dense seismic array and nearby stations, Seismo. Res. Lett., 91(5), 2862-2871, doi: 10.1785/0220200134.
15. Li, Z.*, E. Hauksson, and J. Andrews (2019), Methods for amplitude calibration and orientation discrepancy measurement: Comparing co-located sensors of different types in Southern California Seismic Network, Bull. Seismol. Soc. Am., 109(4), 1563–1570, doi: 10.1785/0120190019.
14. Zhu, L.*, Z. Peng, J. McClellan, C. Li, D. Yao, Z. Li., and L. Fang (2019), Deep learning for seismic phase detection and picking in the aftershock zone of the 2008 Mw 7.9 Wenchuan Earthquake, Phys. Earth Planet. Inter., 293, 106261, doi: 10.1016/j.pepi.2019.05.004. 
13. Li, Z.*, E. Hauksson, T. Heaton, L. Rivera, and J. Andrews (2019), Monitoring data quality by comparing co-located broadband and strong-motion waveforms in Southern California Seismic Network, Seismo. Res. Lett. , 90(2A), 699-707, doi: 10.1785/0220180331.
12. Meier, M.-A.*, Z. Ross, A. Ramachandran, A. Balakrishna, S. Nair, P. Kundzicz, Z. Li, E. Hauksson, J. Andrews (2019), Reliable real-time seismic signal/noise discrimination with machine learning, J. Geophys. Res. Solid Earth, 124, 788-800, doi:10.1029/2018JB016661. 
11. Li, Z.*, and Z. Zhan (2018), Pushing the limit of earthquake detection with distributed acoustic sensing and template matching: A case study at the Brady geothermal field, Geophys. J. Int., 215, 1583-1593, doi: 10.1093/gji/ggy359.
10. Li, C.*, Z. Li, Z. Peng, C. Zhang, N. Nakata, and T. Sickbert (2018), Long-period long-duration events detected by the IRIS community wavefield demonstration experiment in Oklahoma: Tremor or train signals?, Seismo. Res. Lett., 89, 1641-1651, doi: 10.1785/02201080081. 
9. Li, Z.*, M.-A. Meier, E. Hauksson, Z. Zhan, and J. Andrews (2018), Machine learning seismic wave discrimination: Application to earthquake early warning, Geophys. Res. Lett., 45, 4773-4779. doi: 10.1029/2018GL077870. 
8. Li, Z.*, Z. Peng, D. Hollis, L. Zhu, J. McClellan (2018), High-resolution seismic event detection using local similarity for Large-N arrays, Sci. Rep., 8, 1646. doi:10.1038/s41598-018-19728-w. 
7. Li, Z.*, and Z. Peng (2017), Stress- and structure-induced anisotropy in Southern California from two-decades of shear-wave splitting measurements, Geophys. Res. Lett., 44, 9607-9614. doi: 10.1002/2017GL075163. 
6. Li, Z.*, and Z. Peng (2016), An automatic phase picker for local earthquakes with predetermined locations: Combining a signal-to-noise ratio detector with 1D velocity model inversion, Seismol. Res. Lett., 87(6), 1397-1405, doi: 10.1785/0220160027.
5. Li, Z.*, and Z. Peng (2016), Automatic identification of fault zone head waves and direct P waves and its application in the Parkfield section of the San Andreas Fault, California, Geophys. J. Int., 250, 1326-1341, doi: 10.1093/gji/ggw082.
4. Li, Z.*, Z. Peng, Y. Ben-Zion, and F. Vernon (2015), Spatial variations of shear-wave anisotropy near the San Jacinto Fault Zone in southern California, J. Geophys. Res. Solid Earth, 120, 8334-8347, doi: 10.1002/2015JB012483. 
3. Yang, W.,* Z. Peng, B. Wang, Z. Li, and S. Yuan (2015), Velocity contrast along the rupture zone of the 2010 Mw6.9 Yushu, China earthquake from systematic analysis of fault zone head waves, Earth Planet. Sci. Lett., 416, 91-97, doi: 10.1016/j.epsl.2015.01.043. 
2. Yang, H.*, Z. Li, Z. Peng, Y. Ben-Zion, and F. Vernon (2014), Low velocity zones along the San Jacinto Fault, Southern California, from body waves recorded in dense linear arrays, J. Geophys. Res. Solid Earth, 119, 8976-8990, doi: 10.1002/2014JB011548. 
1. Li, Z., H. Zhang*, and Z. Peng (2014), Structure-controlled seismic anisotropy along the Karadere-Duzce branch of the north Anatolian fault revealed by shear-wave splitting tomography, Earth Planet. Sci. Lett., 391, 319-326, doi: 10.1016/j.epsl.2014.01.046. 

编辑:徐若兰 2022-10-24 23:31:04