2026-present

Postdoctoral Fellow

GitHub: jingyang

Email: yangjing0210@ustc.edu.cn

Ph.D.: Structural Geology, Institute of Geology, China Earthquake Administration & TUBAF(Germany), 2023-2026.

Master: Geological Engineering, Shandong University of Science and Technology, 2019-2022.

Undergraduate: Computer Science and Technology, Zaozhuang University, 2015-2019.

Research: Intelligent seismogenic structure interpretation, 3D fault modeling, aftershock forecasting, seismic data processing.

Bio: 杨晶，2026年6月获构造地质学理学博士学位，并于7月以博后研究员身份加入地空学院伍新明教授课题组，主要致力于人工智能与地球物理的交叉应用研究，包括智能化发震构造解释、断层三维建模、余震预测和地震数据处理等，发表数篇论文及国家发明专利。

Honors & awards

2026 北京市优秀毕业生, 北京市教育委员会
2026 国家奖学金, 教育部

Publication

4. J. Yang, Renqi Lu* and Stefan Buske, et al. 2026. Intelligent fault detection in seismic data using U-shaped residual network-temporal-spatial attention mechanism with fourier forward-inverse transform constraints Engineering Applications of Artificial Intelligence, 2026, Volume 166, Part B, doi: https://doi.org/10.1016/j.engappai.2025.113671.

3. J. Yang, Renqi Lu* and Wei Tao, et al. 2025. Intelligent Identification of Sample‐Adaptive Fracture Systems and Seismic Structure Analysis: A Case Study of the Hutubi Gas Storage Field in Xinjiang, China. Seismological Research Letters , vol. 96(3):1937–1952. doi: https://doi.org/10.1785/0220240316.

2. J. Yang, Renqi Lu* and Wei Tao, et al. 2024. MultiURNet for 3D seismic fault attributes fusion detection combined with PCA. Journal of Applied Geophysics , 2024, 105296, ISSN 0926-9851, doi: https://doi.org/10.1016/j.jappgeo.2024.105296.

1. J. Yang, RW*. Ding, Wang, HY. et al. 2022. Intelligent identification method and application of seismic faults based on a balanced classification network. Appl. Geophys , 2022, 19, 209–220, doi: https://doi.org/10.1007/s11770-022-0976-9.

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