Shuhao Song

Welcome!

I’m Shuhao SONG (宋舒昊), a PhD student specializing in Geophysics at Yale University. I have a strong interest and aptitude for applying mathematics, physics, and computer science to solve real-world problems. My research interest focuses on seismic tomography, using advanced surface wave method, normal mode, and receiver functions. I am also interested in exploring advanced techniques for imaging complex subsurface features, such as attenuation analysis, H/V spectral ratios, seismicity, and dv/v monitoring with dataset of dense arrays, Das, and geodetic data. Additionally, I want to integrate Artificial Intelligence to streamline geophysical data processing and minimize redundant manual tasks.

During my academic journey under the guidance of Prof. Xiaofei CHEN, I have focused on enhancing the Frequency-Bessel Transform method (F-J method) for multimodal surface wave tomography, specifically by: (a) integrating non-linear cross-correlation stacking methods , and (b) developing a quantitative subarray selection strategy based on the similarity of dispersion curves. These techniques were applied to refine the Vs structure of the Sagebrush Flat Basin at the San Jacinto Fault Zone . Currently, I am working on developing new cross-correlation correction strategy to enhance overtone surface wave tomography, aiming to boost the energy of the multimodal surface wave signals.

Beyond my research, I am passionate about both sports and education. I enjoy playing badminton (proficient) and volleyball (conversant), and have earned a series of championships in both sports.