Aziz Zanjani

Aziz Zanjani is a Postdoctoral Researcher at the Roy M. Huffington Department of Earth Sciences, Southern Methodist University. His research focuses on induced seismicity, seismotectonics, and crustal structure analysis using advanced geophysical techniques. Key areas include spatiotemporal evolution of earthquakes in the Delaware Basin, machine learning applications for seismic event detection, and tomographic imaging of continental rifts.

Research interests emphasize induced seismicity linked to oil/gas activities, subduction zone dynamics, and crustal deformation processes. Methodologies include P-wave tomography, surface-wave analysis, and relocation algorithms to improve earthquake catalog accuracy. He has conducted studies in regions like the Wabash Valley Seismic Zone, Puerto Rico subduction zone, and Iran's North Tehran Fault.

Recent work highlights use of machine learning for seismic event detection in Texas/Oklahoma oil fields and integration of dense seismic array data to resolve complex fault geometries. His portfolio reflects interdisciplinary approaches bridging geophysics, tectonics, and computational methods.

No scientific awards or formal advising roles are explicitly noted in current records. Ongoing projects likely involve real-time seismic monitoring and improved hazard assessment frameworks.