· 学习经历

2005.09 - 2009.07，山东科技大学，地球物理学，本科/学士
2009.09 - 2012.07，山东科技大学，地球探测与信息技术，研究生/硕士
2012.09 – 2013.06，中国地质大学（北京），地球探测与信息技术，研究生/博士
2013.09 – 2018.05，加拿大卡尔加里大学，地质学与地球物理学，研究生/博士

· 工作简历

2018.06 - 2019.01，加拿大卡尔加里大学，博士后
2019.01 - 2021.07，美国宾西法尼亚州立大学，博士后
2021.09 - 至今，中国海洋大学，副教授

· 现今学术兼职

国际地球物理学会（SEG）会员
加拿大地球物理学会（CSEG）会员
美国地球物理学会（AGU）会员
欧洲地质学家与工程师学会（EAGE）会员
《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

· 获奖情况

Distinguished Postdoc (Facilitated Innovation Collaboration Award)，2019
加拿大地球物理学会TGLS Scholarship，2017
加拿大卡尔加里大学Travel Award，2016
加拿大卡尔加里大学CREWES Fellowship，2013-2018

· 学科方向

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

· 近期研究兴趣

物理驱动的深度学习波场模拟、介质成像与反演
深度学习噪音压制与有效信号提取
逆散射理论与层间多次波压制
海洋甚低频地震信号传播理论与成像

近5年代表性期刊论文：
[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)
近5年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.
[11]. Jian Sun and Kristopher A. Innanen, 2017. Multicomponent inverse scattering series internal multiple prediction in the tau-p domain. SEG Technical Program Expanded Abstracts, 2491-2496.
[12]. Jian Sun, Kristopher A. Innanen, 2017. Literature review and discussion of inverse scattering series on internal multiple prediction. CSEG Expanded Abstracts.
[13]. Jian Sun and Kristopher A. Innanen, 2016. Inverse scattering series internal multiple prediction in the double plane wave domain. SEG Technical Program Expanded Abstracts, 4555-4560.
[14]. Jian Sun, Kristopher A. Innanen, 2016. Extension of internal multiple prediction from 1.5D to 2D in the double plane-wave domain. CSEG Expanded Abstracts.
[15]. Scott Keating, Jian Sun, Pan Pan, Kristopher A. Innanen, 2016. Nonstationary L1 adaptive subtrraction with application to internal multiple attenuation. CSEG Expanded Abstracts.