个人简介：
孙剑，2009年本科毕业于山东科技大学地球物理学专业，2013年获得中国地质大学（北京）地球探测与信息技术博士学位，2018年获得加拿大卡尔加里大学地质学与地球物理学博士学位；2018-2019年任职于加拿大卡尔加里大学，博士后；2019-2021年任职于美国宾西法尼亚州立大学，博士后；2021年至今任职于中国海洋大学，副教授。
研究方向及成果：
研究领域主要集中在人工智能与地球科学大数据、地球物理勘探、海洋地球物理学三个方面，近期的科研兴趣有：1)物理驱动的深度学习波场模拟、介质成像与反演；2)深度学习噪音压制与有效信号提取；3)逆散射理论与层间多次波压制；4)海洋甚低频地震信号传播理论与成像。
近五年在SPRS Journal of Photogrammetry and Remote Sensing、Journal of Geophysical Research: Solid Earth、Geophysics等国际知名期刊和国际会议发表20余篇论文。在ISPRS Journal of Photogrammetry and Remote Sensing、IEEE Transactions on Geoscience and Remote Sensing、IEEE Transactions on Antennas & Propagation、Geophysics、IEEE Geoscience and Remote Sensing Letters、Geophysical Prospecting、Exploration Geophysics、Pure and Applied Geophysics、Marine Geophysical Research、Studia Geophysica et Geodaetica等二十余个知名国际SCI期刊审稿人。任国际地球物理学会（SEG）、加拿大地球物理学会（CSEG）、美国地球物理学会（AGU）、欧洲地质学家与工程师学会（EAGE）会员。
代表性论著：
代表性期刊论文：
【1】 Jian Sun, Fangcao Xu, Guido Cervone, Melissa Gervais, Christelle Wauthier, and Mark Salvador, 2021. Automatic atmospheric correction for shortwave hyperspectral remote sensing data using a time-dependent deep neural network. ISPRS Journal of Photogrammetry and Remote Sensing, 174, 117-131. (IF:8.979)
【2】Jian Sun, Christelle Wauthier, Kirsten Stephens, Melissa Gervais, Guido Cervone, Peter C La Femina, and Machel Higgins, 2020. Automatic detection of volcanic surface deformation using deep learning. Journal of Geophysical Research: Solid Earth, 125, e2020JB019840. (IF: 3.848)
【3】 Jian Sun, Kristopher A. Innanen, and Chao Huang, 2021. Physics-guided deep learning for seismic inversion with hybrid training and uncertainty analysis, Geophysics, 86(3), pp. R303-R317. (IF: 2.928)
【4】 Jian Sun, Zhan Niu, Kristopher A. Innanen, Junxiao Li, and Daniel Trad, 2020. A theory-guided deep learning formulation and optimization of seismic waveform inversion. Geophysics, 85(2), pp. R87-R99. (IF: 2.928)
【5】 Jian Sun and Kristopher A. Innanen, 2019. A plane-wave formulation and numerical analysis of elastic multicomponent inverse scattering series internal multiple prediction. Geophysics, 84(5), pp. V255-V269. (IF: 2.928)
【6】 Jian Sun and Kristopher A. Innanen, 2018. Multidimensional inverse-scattering series internal multiple prediction in the coupled plane-wave domain. Geophysics, 83(2), pp. V73-V82. (IF: 2.928)
代表性国际会议论文：
【1】Tianze Zhang, Jian Sun, Kristopher Innanen, and Daniel Trad, 2021, A recurrent neural network for ℓ1 anisotropic viscoelastic full waveform inversion with high-order total variation regularization: 91st Annual International Meeting, SEG, Expanded Abstracts.
【2】 Jian Sun, Fangcao Xu, Guido Cervone, Melissa, Gervais, Christelle, Wauthier, and Mark Salvador, 2020. Automatic atmospheric correction for shortwave hyperspectral remote sensing data using a time-dependent deep neural network. 101th AGU Annual Meeting.
【3】 Tianze Zhang, Kristopher A. Innanen, Jian Sun, and Daniel O. Trad, 2020. Numerical analysis of a deep learning formulation of multi-parameter elastic full waveform inversion. SEG Technical Program Expanded Abstracts: 1531-1535.
【4】Jian Sun, Christelle Wauthier, Kirsten Stephens, Melissa Gervais, Guido Cervone, Peter C La Femina, Machel Higgins, 2019, Deep Learning Application on Volcanic Deformation Detection and Blind Source Separation in InSAR Data. 100th AGU Annual Meeting.
【5】Jian Sun, Zhan Niu, Kristopher A. Innanen, Junxiao Li, Daniel Trad, 2019. A theory guided deep learning formation of seismic waveform inversion. SEG Technical Program Expanded Abstracts, 2343–2347.
【6】 Jian Sun, Zhan Niu, Kristopher A. Innanen, Junxiao Li, Daniel Trad, 2019, A deep learning perspective of the forward and inverse problem in exploration geophysics. CSEG Expanded Abstracts.
【7】 Zhan Niu, Jian Sun, Daniel Trad, 2019. Inversion with the Born approximation in a deep learning framework. CSEG Expanded Abstracts.
【8】 Kristopher A. Innanen, Jian Sun, Andy Iverson, 2018. Making Acoustic and Elastic Internal Multiple Prediction Work Efficiently and without Artifacts. EAGE Expanded Abstracts, doi: 10.3997/2214-4609.201801963.
【9】 Jian Sun, Kristopher A. Innanen, Daniel Trad, and Yu Geng, 2018. Multicomponent inverse scattering series internal multiple prediction part I: analysis of input preparation. CSEG Expanded Abstracts.
【10】 Jian Sun, Kristopher A. Innanen, Daniel Trad, and Yu Geng, 2018. Multicomponent inverse scattering series internal multiple prediction part II: domains and implementations. CSEG Expanded Abstracts.
