Eileen R. Martin

Publications Research CV Teaching Prospective Students

Bio

I am an assistant professor at Virginia Tech in the math department and program in computational modeling and data analytics (CMDA). I recently earned my PhD from the Institute for Computational and Mathematical Engineering (ICME) at Stanford, where I was a member of the Stanford Exploration Project (SEP) seismic imaging group. I am an affiliate in the geophysics department at Lawrence Berkeley National Lab. I hold an MS in geophysics from Stanford, and a BS with a double-major in math and computational physics from UT-Austin.

Contact

eileenrmartin AT vt DOT edu

Announcements, upcoming talks and papers

• At the upcoming SEG Annual Meeting in Anaheim:
  • I’ll give two talks:
    • “Eighteen months of continuous near-surface monitoring with DAS data collected under Stanford University” in the session on VSP, Advanced Processing, and Imaging Approaches for DAS on Oct. 17
    • “Beyond cosine squared: understanding trends in passive DAS data” in the DAS post-convention workshop on Oct. 19
  • And several of my collaborators will present:
    • Siyuan Yuan (PhD student of B. Biondi) will present a poster about his work monitoring two years of earthquakes recorded by the Stanford Fiber Optic Seismic Observatory in the DAS post-convention workshop on Oct. 19
    • Fantine Huot (PhD student of B. Biondi) will present a talk on Oct. 18 on “Automated ambient noise processing applied to fiber-optic acquisition (DAS)”
    • Gang Fang (postdoc with Y.E. Li) will present a talk on Oct. 18 on “Near-surface monitoring enabled by distributed acoustic sensing: an example of the Stanford Array Data” which investigate detecting subsurface changes with mine blasts as sources
• At the AGU Fall Meeting in D.C.:
  • I will give an invited talk on “Continuous near-surface imaging with a fiber-optic array beneath Stanford University” in the session on Waveform and Tomographic Inversion for Natural and Induced Seismic Events
  • Nate Lindsey and I will give a tutorial on “Distributed Fiber-Optic Seismology in Theory and Practice”
  • Nate Lindsey will present on “Time-lapse imaging of a controlled permafrost thaw experiment with strongly non-stationary vehicle noise and a 4,000 component distributed acoustic sensing (DAS) array”

• I was awarded the 2018 Gene Golub Dissertation Award by Stanford’s Institute for Computational and Mathematical Engineering. A copy of my dissertation can be found here.

• “A Seismic Shift in Scalable Acquisition Demands New Processing: Fiber-Optic Seismic Signal Retrieval in Urban Areas with Unsupervised Learning for Coherent Noise Removal” was published in the Mar. 2018 IEEE Signal Processing Magazine special issue on subsurface exploration.

• “Fiber-optic network observations of earthquake wavefields” is on the cover of the Dec. 2017 issue of GRL.