Xu Si 司旭

Postdoctoral Researcher in Geophysics

School of Earth and Atmospheric Sciences
Georgia Institute of Technology
ES&T Building, Rm. 2128
311 Ferst Drive, Atlanta, GA

Email: xsi33 at gatech dot edu

Biography [CV]

I am a Postdoctoral Researcher in the School of Earth and Atmospheric Sciences at Georgia Institute of Technology, where I work with Prof. Zhigang Peng. My research bridges observational seismology and artificial intelligence to improve how we detect, characterize, and interpret signals generated by earthquakes, the environment, and human activity.

My current work spans earthquake monitoring and source processes, environmental and urban seismology, and AI-enabled geophysical analysis. I develop graph neural networks, foundation models, multimodal learning methods, and physics-informed workflows for phase picking, association, location, seismic interpretation, and high-resolution earthquake catalogs.

I received my Ph.D. in Geophysics from the University of Science and Technology of China in 2024 under the supervision of Prof. Xinming Wu, in collaboration with Prof. Zefeng Li. I earned an M.Sc. in Geophysics from China University of Geosciences (Beijing) in 2020 and a B.Eng. in Geophysics from China University of Geosciences in 2017.

Research interests: earthquake monitoring; environmental and anthropogenic seismology; earthquake source processes; graph neural networks; foundation models; multimodal geophysical learning.

News

[05/2026] Our study of semi-repeating tremor generated by water-hammer effects in municipal infrastructure was published in Seismological Research Letters.
[03/2026] Our study of foreshock behavior and rupture processes during the 2025 M_w 8.8 Kamchatka earthquake sequence was published in Earthquake Research Advances.
[06/2024] I completed my Ph.D. at USTC and joined Georgia Tech as a Postdoctoral Researcher.
[01/2024] Our all-in-one network for earthquake monitoring was published in Communications Earth & Environment.
[01/2024] SeisCLIP, our seismology foundation model, was published in IEEE Transactions on Geoscience and Remote Sensing.

Experience

Georgia Institute of Technology, Atlanta, Georgia, USA

Sep. 2024 – Present

Postdoctoral Research Fellow
Advisor: Prof. Zhigang Peng
University of Science and Technology of China, Hefei, Anhui, China

Sep. 2020 – Jun. 2024

Research Assistant
Advisor: Prof. Xinming Wu

Selected Publications [Google Scholar]

^* Corresponding author. For a complete and current record, please see Google Scholar.

2026

Extremely shallow semi-repeating tremor caused by water hammers in a sewer pipe in Social Circle, Georgia.
Xu Si*, Zhigang Peng.
Seismological Research Letters, 97(4), 2356–2368, 2026. [paper]
Foreshock behaviors and mainshock rupture properties associated with the 2025 M_w 8.8 Kamchatka earthquake sequence.
Phuc Mach, Xu Si, Dun Wang, Robert Shcherbakov, Ping He, Tuncay Taymaz, Chang Ding, Zhigang Peng.
Earthquake Research Advances, 100457, 2026. [paper]
A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys.
Hang Gao, Xinming Wu*, Luming Liang, Hanlin Sheng, Xu Si, Hui Gao, Yaxing Li.
Information Fusion, 125, 103437, 2026. [paper]
Sea ice edge constraint improves Antarctic sea ice seasonal prediction in deep learning models.
Hui Wang, Shuanglin Li, Fangyuan Ping, Xu Si, Chao Zhang.
Advances in Atmospheric Sciences, 43(3), 578–590, 2026. [paper]

2025

Mainshock rupture properties, aftershock activities and remotely triggered seismicity associated with the 2025 M_w 7.7 Sagaing Fault earthquake in Myanmar.
Zhigang Peng, Xinglin Lei, Dun Wang, Xu Si, Phuc Mach, Qiu Zhong, Chang Ding, Yangfan Deng, Min Qin, Suqiu Miao.
Earthquake Research Advances, 5(4), 100413, 2025. [paper]
Global search of PKP precursors with graph neural network: Implications for scatterers in the lowermost mantle.
Shang Ma, Zefeng Li, Daoyuan Sun, Yulong Su, Jiewen Li, Xu Si, Jun Zhu.
Geophysical Research Letters, 52(17), e2025GL115952, 2025. [paper]
Earthquake prediction in the Sichuan–Yunnan region based on graph neural networks and multi-modal data.
Xu Si, Xinming Wu*, Feng Hu, Lei Tian, Yang Zang, Lingyuan Meng.
Chinese Science Bulletin, 2025. [paper]
Seismic foundation model: A next generation deep-learning model in geophysics.
Hanlin Sheng, Xinming Wu*, Xu Si, Jintao Li, Sibo Zhang, Xudong Duan.
Geophysics, 90(2), IM59–IM79, 2025. [paper] [code]
On the workflow, opportunities and challenges of developing foundation models in geophysics.
Hanlin Sheng, Xinming Wu*, Hang Gao, Haibin Di, Sergey Fomel, Jintao Li, Xu Si.
arXiv, arXiv:2504.17384, 2025. [preprint]

2024

An all-in-one seismic phase picking, location, and association network for multi-task multi-station earthquake monitoring.
Xu Si, Xinming Wu*, Zefeng Li*, Shenghou Wang, Jun Zhu.
Commun Earth Environ (CEE), 5(22), 2024. [paper] [code]
SeisCLIP: A seismology foundation model pre-trained by multimodal data for multipurpose seismic feature extraction.
Xu Si, Xinming Wu*, Hanlin Sheng, Jun Zhu, Zefeng Li.
IEEE TGRS, 62, 2024. [paper] [code]
Fast Global Self-Attention for Seismic Image Fault Identification.
Shenghou Wang, Xu Si*, Zhongxian Cai, Leiming Sun, Wei Wang, Zirun Jiang
IEEE TGRS, 62, 2024. [paper]
FlexLogNet: A flexible deep learning-based well-log completion method of adaptively using what you have to predict what you are missing.
Chuanli Dai, Xu Si, Xinming Wu*.
Computers & Geosciences, 191, 2024. [paper]
Filling borehole image gaps with partial convolution neural network.
Lei Jiang, Xu Si, Xinming Wu*.
Geophysics, 89(2), 2024. [paper]
Comparative analysis of TPA‐LSTM and transformer models for forecasting GEO radiation belt electron fluxes.
Mengli Tan, Xu Si, Shangchun Teng, Xinming Wu*, Xin Tao*.
Space Weather, 22(11), 2024. [paper]
Completing any borehole images.
Zhiguo Yang, Xinming Wu*, Xu Pang, Hanlin Sheng, Xu Si, Guangyu Wang, Liu Yang, Chaofeng Wang
IEEE TGRS, 62, 2024. [paper]

2023 and earlier

Sensing prior constraints in deep neural networks for solving exploration geophysical problems.
Xinming Wu, Jianwei Ma*, Xu Si, Zhengfa Bi, Jiarun Yang, Hui Gao, Dongzi Xie, Zhixiang Guo, Jie Zhang*.
Proceedings of the National Academy of Sciences (PNAS), 120(23), 2023. [paper]
A three-dimensional geological structure modeling framework and its application in machine learning.
Shenghou Wang, Zhongxian Cai*, Xu Si, Yatong Cui
Mathematical Geosciences, 2023. [paper] [code]
Structural Augmentation in Seismic Data for Fault Prediction.
Shenghou Wang, Xu Si*, Zhongxian Cai, Yatong Cui
Applied Sciences, 2022. [paper] [code]
Ground roll attenuation using generative adversarial networks.
Yijun Yuan*, Xu Si, Yue Zheng.
Geophysics, 2020. [paper]
Attenuation of random noise using denoising convolutional neural networks.
Xu Si, Yijun Yuan*, Tinghua Si, Shiwen Gao.
Interpretation, 2019. [paper]

Professional Activities

Conference Service:
Session Co-Convener, INFORMS Annual Meeting (Atlanta, GA), 2025
Session Co-Convener, Seismological Society of America Annual Meeting (Baltimore, MD), 2025
Session Co-Convener, Eastern Section, Seismological Society of America (Atlanta, GA), 2024
Field Work:
Seismic field deployment in Summerville, South Carolina, March 2025
Seismic field deployment at Arabia Mountain, Georgia, September 2024–present
Journal Reviews:
Geophysics; Seismica; Surveys in Geophysics; Journal of Geophysical Research; IEEE Geoscience and Remote Sensing Letters; Patterns

Honors & Awards

First Place, Best Student Presentation, 4th Workshop on Artificial Intelligence in Seismology, 2023
First Place, Best Student Presentation, Boao Disaster Prevention and Mitigation Conference, 2023
Outstanding Graduate, China University of Geosciences (Beijing), 2020
National Scholarship, China, 2019
Best Student Poster, SEG IWMG Workshop, 2019

Teaching

2021-2022	Fall	GEPH6401P.01 Artificial Intelligence in Geosciences (Master)
2021-2022	Fall	ESS1502 Artificial Intelligence in Geosciences
2020-2021	Fall	ESS1502 Artificial Intelligence in Geosciences (Head TA)