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

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。
在以上两个领域的实践中，会涉及到大量算法设计、神经网络模型构建、全自动化软件研发、智能体搭建等。

2024年8月至今：中国科学技术大学，地球和空间科学学院，特任教授
2020年9月-2024年7月：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

2025年 中国科学院优秀导师
2023年 教育部“长江学者奖励计划”青年学者
2023年 中国科学院百人计划青年项目择优支持
2023年 李善邦青年优秀地震科技论文奖二等奖
2022年 Earthquake Science优秀青年专家论文、优秀编委
2021年 2021中国光学十大社会影响力事件
2020年 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
2009-2011年 中国科学技术大学优秀学生奖学金

[7] 中华人民共和国科学技术部, 国家重点研发计划课题, 2022YFC3005602, 分布式光纤声波探测方法与衍生灾害监测技术, 2022-11至2025-10, 主持
[6] 国家自然科学基金委员会, 面上项目, 42274063, 基于高精度地震检测的复杂断层余震精细特征研究,2023-01-01至2026-12-31, 主持
[5] 安徽蒙城地球物理国家野外科学观测研究站开放基金, MENGO-202202, 基于全台阵的人工智能地震监测方法和应用, 2023-1至2023-12, 主持. [结题]
[4] 中华人民共和国科学技术部, 国家重点研发计划子课题, 2021YFC3000704-01, 地震数据自动处理系统研发及波速各向异性自动测定, 2021-12至2024-11, 主持
[3] 安徽省科技厅, 安徽省重点研发计划课题, 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, 2023-2025，主持
[2] 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. [结题]
[1] 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,  参与. [结题]

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[47] Hu, Y., Cui, X., and Li, Z.* (2026). Mainshock‐induced stress changes modulate initial aftershocks on complex branching faults of the 2019 Ridgecrest earthquake. Geophysical Research Letters, 53, e2026GL122144. [LINK]

[46] Yang, J., H. Zhang*, S. Ni, Z. Li, and X. Bao (2025). Lithosphere Tectonic Regionalization of China and Surrounding Regions from Unsupervised Learning Analysis of Surface Wave Dispersion Data, Seismol. Res. Lett., accepted. [LINK]

[45] Zhao, K., L. Fu*, J. Guo, Y. Hu, Z. Li. K. Lu, R. Wang, X. Hu (2025). Unsupervised Deep Clustering of Microseismic Signals from the Dalk Glacier in East Antarctica, Seismol. Res. Lett., 97 (1): 425–438. [LINK]

[44] 胡敏哲#, 李泽峰* (2025). 基于分布式光纤振动传感的陆地和海底断层快速探测, 科学通报, 70: 5538–5550.[LINK]

[43] Ma, S.#, Z. Li*, D. Sun, Y. Su, J. Li, X. Si, and J. Zhu# (2025). Global Search of PKP Precursors with Graph Neural Network: Implications for Scatterers in the Lowermost mantle, Geophys. Res. Lett., 52, e2025GL115952.[LINK]

[42] Zhao, L., F. Cheng*, J. Xia, Z. Li (2025). Multi-stage Deep Clustering of Urban Ambient Noise for Seismic Imaging,Geophys. J. Int., 242(3), ggaf273. [LINK]

[41] Cui, X.#, Z. Li*, J.-P. Ampuero and L. De Barros (2025). Does foreshock identification depend on seismic monitoring capability?, Geophys. Res. Lett., 52, e2025GL115394. [LINK][AGU公众号]

[40] Ni HY, Li JL*, Yao HJ, Huang XL, Li LL, Zhou DR, Wang XL, Yu SY, Lu YC, Yu JF, Zheng HG, Zhou GL, Zou HW, Yang W, Zhang M, Chen GY, Lin Y, Peng GL, Li ZF and Li HP (2025). Preliminary study of the tectonic structure and seismogenic environment of the M4.7 Feidong earthquake sequence on September 18, 2024 in Hefei. Earthq Sci, 38(3): 234–252. [LINK]

[39] Zhang, J.*, H. Zhu, Z. Li, X. Wu, and J. Zhang (2025). Multi-Station Seismic Location via Machine Learning: Application to Oklahoma and Southern California, Geophys. J. Int.,  241(3), 1853–1867. [LINK]

[38] Sun, H., F. Cheng*, J. Xia, J. Guan, Z. Li, and J. Ajo-Franklin (2025). Unveiling Cryosphere Dynamics by Distributed Acoustic Sensing and Data-driven Hydro-thermal Coupling Simulation, Geophys. Res. Lett., 52, e2024GL111188.[LINK]

[37] 吴鹤帅#, 李泽峰*, 朱俊# (2025). 基于SKS深度学习识别的河北省上地幔各向异性研究, 地球物理学报, 68(4): 1246-1257.[LINK]

[36] Han, X.#, Z. Li*, F. Liu, J. Li, and H. Yao (2025). Real-time local shear-wave splitting measurement: Application to the vicinity of the Bihetan hydropower plant, Bull. Seismol. Soc. Am., 115 (2): 505–515. [LINK]

[35] Liu, G., D. Sun*, and Z. Li (2024). Constraining the geometry of the Northwest Pacific slab using deep clustering of slab guided waves, Seismo. Res. Lett., 96 (1): 310–323. [LINK]

[34] Hu, M.#, and Z. Li* (2024). DASPy: A Python Toolbox for DAS Seismology, Seismo. Res. Lett., 95 (5): 3055–3066. [LINK]

[33] Hu, Y. #, Z. Li*, F. Lei*, X. Liu (2024), Environment-modulated glacial seismicity near Dalk Glacier in East Antarctica revealed by deep clustering, J. Geophys. Res.: Earth Surface, 129, e2023JF007593. [LINK][AGU公众号]

[32] Dong, S., L. Fu*, X. Tang*, Z. Li, and X. Chen (2024). Deep clustering in radar subglacial reflector reveals new subglacial lakes, The Cryosphere, 18, 1241–1257. [LINK]

[31] X. Si, X. Wu*, H. Sheng, J. Zhu#, Z. Li (2024). SeisCLIP: A seismology foundation model pre-trained by multi-modal data for multi-purpose seismic feature extraction, IEEE Transactions on Geoscience and Remote Sensing, 62, 1-13, 5903713. [LINK]

[30] X. Si, X. Wu*, Z. Li*, S. Wang, and J. Zhu# (2024),  An all-in-one seismic Phase picking, Location, and Association Network for multi-task multi-station earthquake monitoring, Communications Earth & Environment, 5, 22. [LINK]

[29] Cui, X.#, Y. Hu#, S. Ma#, Z. Li*, G. Liu, and H. Huang (2024). Bridging supervised and unsupervised learning to build volcano-seismicity classifiers in Kilauea, Hawaii, Seismo. Res. Lett., 95 (3), 1849–1857. [LINK]

[28] Zhu, J.#, L. Fang, F. Miao, L. Fan, J. Zhang, Z. Li* (2024), Deep learning and transfer learning of earthquake and quarry-blast discrimination: Applications to southern California and eastern Kentucky, Geophys. J. Int., 236, 979–993. [LINK]

[27] Cui, X.#, Z. Li*, Y. Hu (2023), Similar seismic moment release process for shallow and deep earthquakes, Nature Geoscience, 16, 454–460. [LINK][科大新闻][科技日报][中国科学报]

[26] Zhang, J., Z. Li, J. Zhang* (2023), Simultaneous Seismic Phase Picking and Polarity Determination with an Attention-based Neural Network, Seismo. Res. Lett., 94 (2A), 813–828. [LINK]

[25] Zhu, J.#, Z. Li*, L. Fang (2023), USTC-Pickers: a Unified Set of seismic phase pickers Transfer learned for China, Earthquake Science, 36(2): 95–112. [LINK]

[24] Ma, S.#, Z. Li*, W. Wang (2022), Machine learning of source spectra for large earthquakes, Geophys. J. Int., 231(1), 692–702.[LINK]

[23]Li, Z.* (2022), A generic model of global earthquake ruptre characteristics revealed by machine learning, Geophys. Res. Lett., 49(8), e2021GL096464.[LINK][AGU公众号][科大新闻][科技日报(头版)][中国科学报(头版)][人民日报客户端][安徽日报][中国新闻网][中安在线][澎湃新闻]

[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. [LINK]

[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. [LINK][Companion paper with #18]

[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. [LINK][AGU公众号]

[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.[LINK][EosHighlight][AGU公众号][科技日报][科学网][2021Light10][科大新闻][AGU Advances Top Cited Paper]

[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. [LINK][EQS公众号][EQS优秀青年专家论文]

[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. [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: 10.1785/0220200134. [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: 10.1785/0120190019. [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: 10.1785/0220180331. [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: 10.1785/02201080081. [LINK]

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[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]