Chenglong Duan

Chenglong Duan is a Researcher in the Department of Earth and Planetary Sciences at the University of New Mexico. His research focuses on geophysics, seismology, and volcanology with a particular emphasis on seismic imaging techniques applied to volcanic systems and induced seismicity. He holds a Ph.D. from the University of Texas at Dallas (2022). His work includes studies on the Yellowstone magma reservoir structure, microseismic monitoring using deep learning, and induced seismicity analysis in energy exploration contexts.

Key research areas include:

• Volcanic magma dynamics and reservoir characterization
• Seismic event discrimination and source localization
• Machine learning applications in geophysical data analysis

Recent publications emphasize innovative methods for subsurface monitoring, including waveform analysis for hydraulic fracturing and wave-equation imaging techniques for earthquake source characterization. His research bridges traditional seismological methods with modern computational approaches.

Professional activities include affiliations with UNM's Earth and Planetary Sciences department and active involvement in collaborative geophysical research projects. Current work continues to advance understanding of crustal processes through advanced imaging and data science methods.