Guangyao Cai | Planetary Sciences | Best Researcher Award

Dr. Guangyao Cai | Planetary Sciences | Best Researcher Award

Dr. Guangyao Cai, Geophysical Exploration Center, China Earthquake Administration, China

Dr. Guangyao Cai, an engineer at the Geophysical Exploration Center, China Earthquake Administration, earned his Ph.D. in Solid Earth Geophysics in 2024. His expertise includes seismic tomography, earthquake location, and utilizing machine learning to develop high-precision seismic catalogs after major earthquakes. Dr. Cai’s innovative work has enhanced real-time seismic catalog construction and provided insights into seismogenic faults and earthquake mechanisms. With over 10 SCI publications, including four as the first author, his research significantly advances understanding of deep crustal structures and strong earthquake phenomena. 🌎📊

 

Publication Profile

Orcid

Academic and Professional Background 🌏📚

Dr. Guangyao Cai earned his Ph.D. in Solid Earth Geophysics in 2024 and currently serves as an engineer at the Geophysical Exploration Center, China Earthquake Administration (CEA). His research focuses on seismic tomography, earthquake location, and utilizing machine learning to construct high-precision and high-resolution seismic catalogs after major earthquakes. Dr. Cai’s innovative work delves into profiling seismogenic faults and uncovering the mechanisms behind major earthquakes. His expertise contributes to advancing geophysical exploration and improving our understanding of earthquake dynamics. 🌎🔬

 

Areas of Research 🌋📊

Dr. Guangyao Cai’s research focuses on seismic tomography and earthquake location, with an emphasis on advancing methodologies for rapid construction of high-precision and high-resolution seismic catalogs. By leveraging machine learning techniques, he has developed innovative approaches to analyze seismic data following major earthquakes. His work extends to profiling seismogenic faults and uncovering the mechanisms driving significant seismic events. Dr. Cai’s contributions enhance the understanding of earthquake dynamics and improve the accuracy of seismic monitoring systems, offering critical insights into the processes shaping Earth’s geophysical behavior. 🌍🔬

 

Publication Top Notes  

  • 📖 Three-dimensional velocity structure of the MS 6.0 Luxian earthquake source region2024, cited by Physics of the Earth and Planetary Interiors, DOI: 10.1016/j.pepi.2024.107281.
  • 🌏 Three-dimensional S-wave velocity structure beneath the Yinchuan Basin2023, cited by Science China Earth Sciences, DOI: 10.1007/s11430-022-1059-y.
  • 🌐 Spatial–Temporal Distribution and Focal Mechanisms in Rongchang-Luxian Region2023, cited by Seismological Research Letters, DOI: 10.1785/0220220339.
  • 🌋 Two Unconnected Low-Velocity Zones in the Sichuan-Yunnan Block2023, cited by Pure and Applied Geophysics, DOI: 10.1007/s00024-023-03245-7.
  • 🌊 Three-dimensional body wave velocity for the 2022 MS 6.8 Luding earthquake2023, cited by Frontiers in Earth Science, DOI: 10.3389/feart.2023.1099744.
  • 🗻 S-wave velocity structure beneath NE Tibetan Plateau2023, cited by Frontiers in Earth Science, DOI: 10.3389/feart.2022.1066265.
  • 📉 Ambient Noise Level in Eastern North China and COVID-19 Response2021, cited by Seismological Research Letters, DOI: 10.1785/0220200261.
  • 🧭 2023 Gansu Jishishan MS 6.2 earthquake 3D velocity structure2023, cited by Chinese Journal of Geophysics, DOI: 10.6038/cjg2024S0094.
  • 🌍 Surface wave tomography of the North China Craton2023, cited by Chinese Journal of Geophysics, DOI: 10.6038/cjg2023Q0966.
  • 🧱 Crustal thickness and Poisson ratio in Tanlu Fault Zone2023, cited by Chinese Journal of Geophysics.