当前位置: 网站首页 > 师资队伍 > 研究生导师 > 正文 >

贾卓

贾卓

E-mail: jiazhuo@csust.edu.cn;


个人简介

贾卓,黑龙江大庆人,工学博士,IEEE Member,现为皇冠welcome体育土木工程学院讲师,硕士生导师,主要研究领域涉及深度学习、数字信号处理以及地球物理智能正反演等,作为第一作者/通讯作者已在SCI等学术期刊上发表论文15篇,参与了国家重点研发计划、国家自然科学基金面上项目。

教育背景及工作经历  

2020.09 – 2022.10 清华大学  自动化系     博士后

2016.09 – 2020.06 吉林大学  地球探测与信息技术学院  工学博士

2013.09 – 2015.07 东北大学  资源与土木工程学院   工学硕士

2009.09 – 2013.06 吉林大学  地球探测与信息技术学院  工学学士

主要研究领域  

u [1] 信号处理及应用

u 电磁信号处理;电磁反演成像;

u [2] 图象处理及应用

u 电磁图象增强;电磁图象重构;电磁数据去噪

u [3] 机器学习

u 地球物理数据挖掘;探地雷达方法原理及应用

近两年学术论文  

[1] Z. Jia, Y. Li, W. Lu, L. Zhang and P. Monkam, "EMRNet: End-to-End Electrical Model Restoration Network," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022, Art no. 5917912.

[2] Y. Li, Z. Jia and W. Lu*, "Self-Supervised Deep Learning for 3D Gravity Inversion," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-11, 2022, Art no. 5924311

[3] Z. Jia et al., "Deep Learning for 3-D Magnetic Inversion," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-10, 2023, Art no. 5905410.

[4] Z. Jia, Y. Wang, Y. Li, C. Xu, X. Wang and W. Lu*, "Magnetotelluric Closed-Loop Inversion," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-11, 2023, Art no. 5923511

[5] X. Shi, Z. Jia, H. Geng*, S. Liu and Y. Li, "Deep Learning Inversion for Multivariate Magnetic Data," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-10, 2024, Art no. 5900110.

[6] Y. Wang, Z. Jia and W. Lu*, "SEMI Net: Seismic-Electromagnetic Joint Inversion Network," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-15, 2024, Art no. 5906615.

[7] Y. Li, Z. Jia, W. Lu* and C. Song, "Self-Supervised Knowledge-Driven Method for 3-D Magnetic Inversion," in IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1-5, 2024, Art no. 3000805.

[8] H. Xu, L. Zhao, P. Jing, J. Yan, X. Zhu and Z. Jia*, "Machine Learning-Enhanced Interpolation of Gravity-Assisted Magnetic Data," in IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1-5, 2024, Art no. 7503005.

科研项目经历

u 国家重点研发计划课题:深部矿产资源地球物理综合探测与信息提取,参与人

u 国家自然科学基金面上项目:基于闭环卷积神经网络的测井约束地震反演,参与人

u 国家重点研发计划课题:基于人工智能的多元信息相容性表达研究,参与人


CopyRight © 2022 All Right Reserved 皇冠welcome体育 土木工程学院 版权所有
Baidu
sogou