金沙所有游戏网站:王凯
王凯，1991年出生，湖北广水人。现任金沙所有游戏网站特任教授、博士生导师。2012年本科毕业于中国地质大学（武汉）地球物理实验班，2019年博士毕业于澳大利亚麦考瑞大学地球与行星科学系，先后在加拿大多伦多大学，麦考瑞大学和新加坡南洋理工大学从事博士后研究工作。2023年2月受国家海外高层次人才计划青年项目资助，全职回国工作。主要从事地震全波形反演方法研发以及其在壳幔结构成像中的应用，在GRL，JGR:Solid Earth，EPSL，GJI等发表论文14篇，其中第一或通讯作者9篇，担任GRL，JGR:Solid Earth，SRL，GJI等多个国际学术期刊审稿人。
2023.02-至今 金沙所有游戏网站，金沙所有游戏网站，特任教授
2021.10-2023.01 新加坡南洋理工大学，数理学院，Research Fellow
2020.02-2021.10 澳大利亚麦考瑞大学，地球与行星科学系，博士后
2018.12-2019.12 加拿大多伦多大学，物理学院，博士后
2015.4-2018.12 澳大利亚麦考瑞大学，地球与行星科学系，地球物理学博士
2012.9-2015.4 中国地质大学（武汉），地球物理与空间信息学院，地球物理学研究生
2008.9-2012.7 中国地质大学（武汉），地球物理与空间信息学院，地球物理学学士
基于波动方程和伴随法的地震全波形反演方法与程序研发；多分量背景噪声全波形反演；基于密集台阵的远震全波形反演；密集台阵与噪声成像；地震各向异性研究岩石圈形变；火山区地震层析成像；多数据联合反演
课题组目前拟招收1-2名特任副研、博士后，2-3名博士、硕士研究生，欢迎对地震波数值模拟、全波形反演、背景噪声成像、各向异性等方向感兴趣的同学加入我们的团队！请直接发送邮件与本人联系：wangk@ustc.edu.cn
（1）建立了多分量噪声全波形反演方法体系，为研究壳幔精细结构及形变机制提供了关键的技术支撑（GJI 2018; JGR:Solid Earth 2019;GRL 2020）
（2）发展了基于密集台阵观测的远震全波形反演技术,极大地提高了岩石圈结构成像的分辨率(GJI 2019; BSSA 2021)
（3）提出了噪声和远震数据的三维全波形联合反演新方法，可提升模型的分辨率和可靠性，揭示了加州中部俯冲带动力学过程 (JGR:Solid Earth 2021)
2023.2-2026.2 国家海外高层次人才计划青年项目，主持
2022, Feb: “Multiparameter adjoint tomography of ambient noise and earthquake data to image the finite-scale structure of the Earth’s lithosphere”, School of Earth and Space Sciences, University of Science and Technology of China.
2021, Apr: “Unveiling fine-scale structures of the Earth's lithosphere by full wave seismic tomography”, School of Earth and Space Sciences, University of Science and Technology of China.
2020, Jan: “Unveiling the fine structure of the Earth's lithosphere by full wave seismic tomography”，Department of Ocean Science and Engineering, Southern University of Science and Technology.
2019, Oct: “Full wave ambient noise tomography of the southern California plate boundary region”, Rockfest Seminar, Department of Earth Sciences, University of Toronto.
2019, Oct: “Unveiling the fine structure of the Earth’s lithosphere by full wave seismic tomography”, Brewer-Wilson Seminar, Department of Physics, University of Toronto.
2019, Apr: “Multi-component Full Wave Ambient Noise Tomography: Adjoint method and its Applications in Southern California”, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan.
2018, Nov: “Multi-component ambient noise adjoint tomography: methodology and its applications in southern California”, Division of Mathematical Sciences, School of Physical & Mathematical Sciences, Nanyang Technological University.
14. Wang, K., Wu, S., & Tong, P., 2022. Crustal deformation in the Sierra Nevada and Walker Lane region inferred from P-wave azimuthal anisotropy. Journal of Geophysical Research: Solid Earth, 127, e2022JB024554, doi.org/10.1029/2022JB024554
13. Wang, K., Wang, Y., Song, X., Tong, P., Liu, Q., Yang Y., 2021. Full-Waveform Inversion of High-frequency Teleseismic Body Waves based on Multiple Plane Wave Incidence: Methods and Practical Applications. Bull. Seismol. Soc. Am., 1–15, doi.org/10.1785/0120210094
12. Zhao, Y., Guo, Z., Wang, K., & Yang, Y. J., 2021. A Large Magma Reservoir beneath the Tengchong Volcano Revealed by Ambient Noise Adjoint Tomography. Journal of Geophysical Research: Solid Earth, 126, e2021JB022116. https://doi.org/10.1029/2021JB022116
11. Wang, K., Yang, Y., Jiang, C., Wang, Y., Tong, P., Liu, T., & Liu, Q., 2021. Adjoint tomography of ambient noise data and teleseismic P waves: Methodology And Applications To Central California. Journal of Geophysical Research: Solid Earth, 126, e2021JB021648. https://doi.org/10.1029/2021JB021648
10. Wu S.; J. Yao; S. Wei; J. Hubbard; Y. Wang; Y. Htwe; M. Thant; X. Wang; K. Wang; T. Liu; Q. Liu, 2021. New insights into the structural heterogeneity and geodynamics of the Indo-Burma subduction zone from ambient noise tomography. Earth and Planetary Science Letters, doi.org/10.1016/j.epsl.2021.116856
9. Tong P., J. Yao, Q. Liu, T. Li, K. Wang, S. Liu, Y. Cheng, and S. Wu, 2020. Crustal rotation and fluids: Factors for the 2019 Ridgecrest earthquake sequence? Geophysical Research Letters, https://doi.org/10.1029/2020GL090853
8. Wang K.*, C. Jiang*, Y. Yang, V. Schulte-Pelkum, Q. Liu, 2020. Crustal deformation in southern California constrained by radial anisotropy from ambient noise adjoint tomography. Geophysical Research Letters, https://doi.org/10.1029/2020GL088580
7. Lin C., V. Monteiller, K. Wang*, T. Liu, P. Tong and Q. Liu, 2019. High-frequency seismic wave modeling of the deep Earth based on hybrid methods and spectral-element simulations: a conceptual study. Geophysical Journal International, doi.org/10.1093/gji/ggz413
6. Wang K., Q. Liu, and Y. Yang, 2019. Three-Dimensional Sensitivity Kernels for Multi-component Empirical Green's Functions From Ambient Noise : Methodology and Application to Adjoint Tomography. Journal of Geophysical Research: Solid Earth，https://doi.org/10.1029/2018JB017020
5. Wang K.*, Y. Yang, P. Basini, P. Tong, C. Tape, and Q. Liu, 2018. Refined crustal and uppermost structure of southern California by ambient noise adjoint tomography. Geophysical Journal International, 215(3), 844-863.
4. Guo Z., K. Wang, Y. Yang, Y. Tang, Y, Chen, and S.-H. Hung, 2018. The origin and mantle dynamics of Quaternary intra-plate volcanism in Northeast China from joint inversion of surface wave and body wave. Journal of Geophysical Research: Solid Earth, 123. https://doi.org/10.1002/2017JB014948.
3. Wang K., Y. Luo, Y. Yang., 2016. Correction of phase velocity bias caused by strong directional noise sources in high-frequency ambient noise tomography: a case study in Karamay, China. Geophysical Journal International, 205(2), 715-727.
2. Luo Y., Y. Yang, Y. Xu, H. Xu, K. Zhao, K. Wang, 2015. On the limitations of interstation distances in ambient noise tomography. Geophysical Journal International, 201(2), 652-661.
1. Wang K., Luo Yinhe, Zhao Kaifeng, Zhang Limeng, 2014. Body waves revealed by spatial stacking on long-term cross-correlations of ambient noise, Journal of Earth Science , 25(6): 977-984.