Dr. Daniel Trugman

( University of Nevada, Reno )

  • Institution:University of Nevada, Reno
  • Departments: nevada seismological laboratory
  • Research Fields: Earthquakes, Seismology, Natural Hazards, Machine Learning, Signal Processing, Artificial Intelligence
  • Disciplines: Geophysics and Seismology, Physical Sciences
  • Funding:DoE - Department of Energy, NASA - National Aeronautics and Space Administration, NSF - National Science Foundation, UNR - University of Nevada, Reno, USGS - U.S. Geological Survey


I currently mentor 6 graduate students at UNR, and have also mentored undergraduate researchers at UNR, UT Austin, and Los Alamos National Laboratory.


Dr. Trugman’s research focuses on developing and applying new techniques to analyze large datasets of seismic waveforms in order to better understand earthquake rupture processes and their relation to seismic hazards. His research team at the University is broadly interested in leveraging concepts from big data and scientific machine learning alongside high-fidelity physical modeling in order to advance earthquake science.

Topics of particular interest include to Dr. Trugman’s research team include:
– Nevada seismicity, tectonics, and earthquake sequences
– Earthquake source properties (magnitude, stress drop, and radiated energy estimates)
– Earthquake nucleation and rupture dynamics
– Stress transfer and earthquake triggering
– Earthquake early warning systems
– Ground motion prediction and hazard analysis
– Forensic seismology and nuclear monitoring