王坤喜，博士，講師，校青年拔尖人才。主要從事智能地球物理信號(hào)處理、地震多次波智能化衰減、地震外源噪聲衰減、地震面波衰減、混疊數(shù)據(jù)波場(chǎng)分離等方面的研究工作。以第一作者在IEEE Transactions on Geoscience and Remote Sensing、Geophysics、Geophysical Journal International、 Geophysical Prospecting、地球物理學(xué)報(bào)等期刊發(fā)表SCI論文14篇，獲授權(quán)國(guó)家發(fā)明專利3項(xiàng)。
郵箱：wangkunxi@cup.edu.cn
教育經(jīng)歷：
2020-09至2024-07，北京大學(xué)，固體地球物理學(xué)，博士研究生
2017-09至2020-07，中國(guó)科學(xué)院測(cè)量與地球物理研究所，固體地球物理學(xué)，碩士研究生
2013-09至2017-07，太原理工大學(xué)，勘查技術(shù)與工程，大學(xué)本科
部分期刊論文：
[1] Kunxi Wang, Tianyue Hu, Bangliu Zhao, and Shangxu Wang. Surface-related multiple attenuation based on a self-supervised deep neural network with local wavefield characteristics. Geophysics, 2023, 88(5): V387-V402.
[2] Kunxi Wang, Tianyue Hu, and Shangxu Wang. Iterative deblending using unsupervised learning with double-deep neural networks. Geophysics, 2023, 88(3): V187-V205.
[3] Kunxi Wang, Tianyue Hu, Shangxu Wang, and Jianxin Wei. Seismic multiple suppression based on a deep neural network method for marine data. Geophysics, 2022, 87(4): V341-V365.
[4] Kunxi Wang, Tianyue Hu, and Bangliu Zhao. An unsupervised deep neural network approach based on ensemble learning to suppress seismic surface-related multiples. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-14. Art. no. 5924514.
[5] Kunxi Wang, and Tianyue Hu. Deblending of seismic data based on neural network trained in the CSG. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-12. Art. no. 5907712.
