University of Science and Technology | China
Author Profile
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EARLY ACADEMIC PURSUITS
Zhaoxuan Guan began his academic journey with a Bachelor’s degree in Software Engineering from Changchun University of Science and Technology (2018–2022). During this period, he developed a strong foundation in artificial intelligence (AI) algorithms, which later laid the groundwork for his interdisciplinary research. His early academic years reflect a deep curiosity and adaptability, transitioning seamlessly from software engineering to geophysics in pursuit of real-world applications of AI.
PROFESSIONAL ENDEAVORS
Following his undergraduate studies, Guan pursued a Master’s degree in Resources and Environment at the Institute of Disaster Prevention (2022–2025). His work focused on seismic dynamics and tectonic stress fields, showcasing a strong commitment to advancing earth sciences through technical innovation. Currently, he is enrolled in a Ph.D. program in Geophysics at the prestigious University of Science and Technology of China (2025–present). In recognition of his exceptional performance, he received several academic accolades including the National Graduate Scholarship, 1st rank among 155 peers, Provincial Outstanding Graduate, and University Top Ten Youth award.
CONTRIBUTIONS AND RESEARCH FOCUS ON SEISMOLOGY
Zhaoxuan Guan has made significant contributions to AI-integrated seismology. He developed the GSBBO method, a high-precision stress inversion technique that enhances the accuracy and reliability of focal mechanism data analysis in regions with complex tectonics. His research has successfully explained the mechanical causes of aftershock deflection in the 2021 Maduo earthquake, and identified fluid migration paths in northeastern Noto Peninsula, Japan, linking them with seismic activity. His core research areas include stress field inversion from focal mechanisms, Coulomb stress transfer, and seismic dynamics, aimed at improving the quantitative understanding of earthquake generation and fault mechanics.
IMPACT AND INFLUENCE
Through collaborative projects funded by the National Natural Science Foundation of China, Hebei Key Laboratory of Earthquake Dynamics, and various university programs, Guan’s work has started to influence both national research priorities and methodological standards in seismology. His findings offer valuable insights into earthquake prediction, seismic hazard analysis, and dynamic earthquake modeling, bridging the gap between geophysical theory and practical disaster risk reduction.
ACADEMIC CITES
Zhaoxuan Guan’s emerging influence is reflected in his academic citation metrics, with an H-index of 2 as recorded by Google Scholar and Scopus. Despite being early in his research career, his peer-reviewed publications are being cited in the fields of geophysics and seismological modeling, indicating a growing recognition within the scientific community.
LEGACY AND FUTURE CONTRIBUTIONS
With a firm grasp on both AI algorithm design and geophysical processes, Guan is poised to be a pioneer in interdisciplinary earthquake research. His future work is expected to deepen our understanding of seismic hazards, contribute to the development of predictive models, and support policy frameworks for earthquake-prone regions. His membership in the Chinese Society for Rock Mechanics and Engineering further enhances his ability to influence academic and industry practices in geotechnical research and earthquake engineering.
OTHER RELEVANT INFORMATION
Ongoing and completed research projects under Guan’s portfolio include:
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Science and Technology Innovation Program for Postgraduate Students at IDP (Grant CXZZSS2024159)
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National Natural Science Foundation of China (Grants: 42174074, 42364005, 41674055)
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Hebei Key Laboratory of Earthquake Dynamics (Grant FZ212105)
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Central Universities Fundamental Research Funds (Grant ZY20215117)
His service area is seismology, with an emphasis on integrating machine learning techniques for enhanced geological data interpretation and earthquake risk modeling.
NOTABLE PUBLICATIONS
"Static stress triggering of Morocco M6.9 earthquake on 9 September 2023"
- Author: Wang, R.; Wan, Y.; Guan, Z.; Huang, S.; Gu, P.; Song, Z.; Zhou, M.
- Journal: Journal of Geomechanics
- Year: 2025
"GSBBO: a high-precision method for stress tensor inversion and its application at the great wall station in Antarctica"
- Author: Zhaoxuan Guan; Yongge Wan; Mingyue Zhou; Shaohua Huang
- Journal: Journal of Seismology
- Year: 2024
"Fault geometry and stress field around the 2023 Turkey earthquake doublet"
- Author: Wan, Y.G.; Guan, Z.X.; Liang, W.H.; Dai, X.
- Journal: Acta Geophysica Sinica
- Year: 2024
"Discussion on reason why after shocks of the 2014 Ludian Earthquake occurred on the conjuagated fault based on tectonics stress field."
- Author: Wan, Y.-G.; Song, Z.-Y.; Guan, Z.-X.; Huang, R.-Q.; Gu, P.-Y.; Wang, R.-Y.
- Journal: Dizhen Dizhi
- Year: 2024
"Focal Mechanism and Stress Implication on the Surrounding Region of the Jishishan, Gansu Ms6. 2 Earthquake on December 18, 2023"
- Author: Wang, R.-Y.; Wan, Y.-G.; Song, Z.-Y.; Guan, Z.-X.
- Journal: Earthquake
- Year: 2024