Summary
Pengliang Yang is an Associate Professor and applied geophysics scientist with 12 years of experience in electromagnetic and seismic modeling, inversion, and high-performance computing. He has advanced expertise in sparsity-promoting multidimensional data interpolation, time-frequency signal processing, RTM and FWI, and has applied these methods to complex 3D Valhall field data. His background includes a PhD from Xi’an Jiaotong University, a UT Austin visiting year focused on GPU-accelerated RTM/FWI, and a postdoc in Grenoble where he developed low-memory Newton algorithms for viscoelastic waveform inversion. As a developer for the Madagascar reproducible research toolkit, he blends open scientific software practice with industry-driven problems from EMGS. Based in Harbin with ties to Norway, he is comfortable bridging academic research, computational implementation, and industrial deployment of advanced seismic imaging workflows.
12 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering, geophysics, signal and information processing, Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering, geophysics, signal and information processing at Xi'an Jiaotong University
Chinese, English