Eileen R. Martin

Publications Research CV Teaching Prospective Students Outreach

Bio

I am an assistant professor at Virginia Tech in the math department and program in computational modeling and data analytics (CMDA), and a Luther and Alice Hamlett Junior Faculty Fellow in Virginia Tech’s Academy of Integrated Science. I earned my PhD from the Institute for Computational and Mathematical Engineering (ICME) at Stanford in 2018, 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

Email (preferred): eileenrmartin AT vt DOT edu

Office (won’t be there during social distancing): McBryde 474

Office phone (won’t answer during social distancing): 540-231-6397

Announcements

• Upcoming presentations:
  • Seminar July 29 for Argonne National Laboratory, “Scalable algorithms for signal processing and imaging with vibration data”
  • Seminar August 5 for Applied Geophysics Research Seminar at ExxonMobil, “Passive seismic processing with scalable algorithms and artificial intelligence”

• Upcoming Virtual DAS Workshop and Tutorial August 10, 12 and 17 is being co-led by Eileen Martin and Nate Lindsey, along with Scott Tyler, Dante Fratta, Herb Wang, Kasey Aderhold and Bob Woodward. Registration and more information

• Teaching in ‘20-‘21:
  • Fall 2020, CMDA 3634 (2 sections, online)
  • New hands-on introductory math research course, MATH 2984, in Spring 2021 “BEPUR: Broadening Engagement and Participation in Undergraduate Research” is being supported in part by a MAA Tensor Women and Mathematics Grant. More info on course website.
• Recent preprints and publications:
  • (Submitted, preprint available soon): N.J. Lindsey and E.R. Martin, “Fiber-optic Seismology”
  • Brief review of recent advances in DAS for urban geophysics in The Leading Edge June 2020 issue, “Research Committee Update: Shining a light on cities with seismic data”
  • Paper recently accepted: S. Jakkampudi, J. Shen, W. Li, A. Dev, T. Zhu and E.R. Martin, “Footstep Detection in Urban Seismic Data with a Convolutional Neural Network”, to appear in The Leading Edge in Sep. 2020
  • Preprint on EarthArxiv: T. Zhu, J. Shen and E.R. Martin, “Sensing earth and environment dynamics by telecommunication fiber-optic sensors: An urban experiment in Pennsylvania USA”, under open review in Solid Earth
  • Preprint on ArXiV: J. Kump and E.R. Martin, “Multichannel Analysis of Surface Waves Accelerated (MASWAccelerate): Software for Efficient Surface Wave Inversion Using MPI and GPUs”
  • Paper recently accepted to Geophysical Research Letters: G. Fang, Y.E. Li, Y. Zhao, E.R. Martin, “Urban Near-surface Seismic Monitoring Using Distributed Acoustic Sensing,” Preprint on EarthArXiv
  • Paper recently accepted to Journal of Geophysical Research Solid Earth: Z. Spica, M. Perton, E.R. Martin, B. Biondi, G. Beroza, “Urban Seismic Site Characterization by Fiber-Optic Seismology,” doi:10.1029/2019JB018656, version on JGR, preprint on EarthArXiV
  • Preprint on VTechWorks: E.R. Martin, “A Linear Algorithm for Ambient Seismic Noise Double Beamforming Without Crosscorrelations”
  • Conference paper preprint: T. Zhu, E.R. Martin, J. Shen, “New Signals in Massive Data Acquired by Fiber Optic Seismic Monitoring Under Pennsylvania State University”
  • This preprint on EarthArXiv describes “A Scalable Algorithm for Cross-correlations of Compressed Ambient Seismic Noise,” was in the 2019 SEG Annual Meeting Expanded Abstracts.
  • E. Martin, N. Lindsey, J. Ajo-Franklin, B. Biondi, “Introduction to Interferometry of Fiber Optic Strain Measurements,” chapter accepted to the upcoming AGU book on DAS, preprint on EarthArXiV.
  • B. Biondi, S. Yuan, E.R. Martin, F. Huot, R.G. Clapp, “Using telecommunication fiber infrastructure for earthquake monitoring and near-surface characterization,” chapter accepted to the upcoming AGU book on DAS.
• Recent research funding:
  • The project “Fast Comparative Algorithms for Sensor Array Summaries” is being funded through a subcontract with UT-Batelle, LLC (operating Oak Ridge National Laboratory)
  • The project “EAGER: Exploration of an Interdisciplinary Approach to Resolving a Critical Issue in Evaluating Liquefaction Hazard of Challenging Soil Sites” with A. Yerro Colom and R. Green (Virginia Tech Civil & Environmental Engineering) is being funded by the NSF Engineering for Civil Infrastructure program.
  • The project “Fully Distributed Acoustic and Magnetic Field Monitoring via a Single Fiber Line for Optimized Production of Unconventional Resource Plays,” was recently selected for funding by the DOE Office of Fossil Energy. This will be a collaboration with Virginia Tech’s Center for Photonics Technology and Sentek Instrument LLC.
  • We recently wrapped up Phase I of “Advanced Computational Methods towards High-Resolution Fiber Optic Distributed Acoustic Sensing,” a collaboration with Luna funded through a Phase I STTR from DOE Geothermal Technologies Office.
• At the AGU Fall meeting in December, Nate Lindsey and I presented a tutorial on “Distributed Fiber-Optic Seismology in Theory and Practice,” and we’ve turned that material into a YouTube video so it’s easy to watch at your own pace. We also include many references at the end if you would like to find out more about some of the recent advances in this area.