邮箱： zefengli@ustc.edu.cn

科研领域： 1. 人工智能地震学；2.分布式光纤技术；3.地震监测和震源物理；4.断层精细结构




个人简介
李泽峰，中国科学技术大学特任研究员，入选中国科学院****青年项目。2012年中国科学技术大学本科毕业，2017年美国佐治亚理工学院获得博士学位，2017-2020年在美国加州理工学院地震学实验室从事博士后研究。研究兴趣包括人工智能地震学，分布式光纤技术，地震监测和预警，断层结构等。至今在GRL, EPSL和JGR等国际SCI期刊发表论文十余篇。从2019年开始任美国地震学会学术期刊SRL副主编，从2021年起担任Earthquake Science编委。担任GRL, JGR-Solid Earth, GJI, SRL, BSSA, Geophysics等期刊审稿人，主持过AGU和SSA等多个国际会议相关分会和研习班。



学术经历
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
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


发表论文


#student advised/co-advised, *Corresponding author
Li, Z.^*, Recent Advances in Earthquake Monitoring: I - Development of Seismic Instrumentation (invited review), submitted toEarthquake Science.
Cui, X^#, Z. Li^*, and H. Huang,Subdivision of seismicity beneath the summit region of Kilauea volcano: Implication for the preparation process of the 2018 eruption,Geophys. Res. Lett.,in revision.
Li Z.^*, Z. Shen, Y. Yang, E. Williams, X. Wang, and Z. Zhan, Rapid Response to the 2019 Ridgecrest Earthquake with Distributed Acoustic Sensing, AGU Advances, under review.
17. Yin, J., Z. Li^*, M. Denolle (2021), Source time function clustering reveals patterns in earthquake dynamics, Seismo. Res. Lett., in press. [LINK]
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/. [LINK]
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/. [LINK]
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. [LINK]
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/. [LINK]
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. [LINK]
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. [LINK]
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/. [LINK]
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. [LINK]
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. [LINK]
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. [LINK]
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/. [LINK]
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. [LINK]
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. [LINK]
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. [LINK]
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. [LINK]
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. [LINK]

Non-peer-reviewed:
1. Bergen, K., T. Yang, and Z. Li (2019), Preface to the Focus Section on Machine Learning in Seismology. Seismological Research Letters, 90 (2A): 477–480. doi: https://doi.org/10.1785/ [LINK]
2. Li, Z. (2017), Fault zone imaging and earthquake detection with dense seismic arrays, PhD Thesis at Georgia Institute of Technology. [LINK]