Eileen R. Martin

Research Team CV Teaching Prospective Students

Bio

I am an associate professor at Colorado School of Mines jointly appointed in geophysics and applied math and statistics 60/40%. At Mines I am part of two industry-aligned consortia: Center for Wave Phenomena and Center to Advance the Science of Exploration to Reclamation in Mining . I earned my PhD from the Institute for Computational and Mathematical Engineering at Stanford in 2018, where I was a member of the Stanford Exploration Project group and 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. I have earned an NSF CAREER grant, the SIAM Activity Group on Geosciences Early Career Prize, the SEG J. Clarence Karcher Award, and a Presidential Early Career Award for Science and Engineering (PECASE).

Contact

Email: eileenrmartin AT mines DOT edu

Martin Group Announcements

• Congratulations to the group’s recent graduates! Their theses:
  • G. Brooks, “Singular Value Decomposition of Large Scale Ambient Seismic Noise Data for Estimation of Wave Equation Responses,” M.S. Thesis, Computational and Applied Math, Colorado School of Mines, Aug. 2025.
  • N. Punithan, “Automating Near-surface Characterization Using Ambient Noise Distributed Acoustic Sensing Data,” M.S. Thesis, Geophysics, Colorado School of Mines, May 2025.
  • T. Snyder, “On the Potential for Fiber-optic Distributed Magnetic Sensing in Near-surface Geophysics,” M.S. Thesis, Hydrologic Science and Engineering, Colorado School of Mines, Dec. 2024, link.

• Papers recently submitted or published:

  • R. Willis, J. Grimm, F. Stanek, P. Edme, A. Fichtner, B. Lipovsky, P. Paitz, F. Water, M.R. Siegfried, E.R. Martin, 2025, “Creating a Comprehensive Cryoseismic Catalog at Rhonegletscher: A Scalable Approach Using Distributed Acoustic Sensing and Machine Learning,” recently submitted, preprint.
  • L. Gou, M. Xiao, T. Zhu, E.R. Martin, Z. Wang, G. Rocha dos Santos, D. Nicolsky, X. Ji, 2025, “A Digital Twin Based on Differentiable Modeling for Predicting Permafrost Thermodynamic Characteristics Under an Embankment Road in Utqiagvik, Alaska,” recently submitted.
  • J.J. McGuire, A.J. Barbour, Z.J. Spica, V. Rodríguez Tribaldos, Z. Zhan, B.P. Lipovsky, R.J. Mellors, E. Biondi, C. Yoon, M. Karrenbach, A.T. Ringler, J. Atterholt, A. Nayak, T. Sawi, L. Viens, E.R. Martin, A.L. Husker, P. Bodin, M.P. Moschetti, Q. Shi, N.C. Miller, P. Puri, 2025, “Fiber Optic Sensing for Earthquake Hazards Research, Monitoring and Early Warning,” recently submitted.
  • S. Yuan, F. Bernauer, C.M. Liao, E. Niederleithinger, E.R. Martin, C. Hadziioannou, J. Wassermann, H. Igel, 2024, “Bridge monitoring using six-component ground motion measurements,” recently submitted, preprint.
  • S. Yuan, F. Bernauer, J. Wassermann, E.R. Martin, H. Igel, 2024, “Tracking vehicle sources using six-component seismic point measurements,” recently accepted to Seismica, [preprint.] (https://eartharxiv.org/repository/view/7869/)
  • D.J.A. Chambers, A. Tourei, E.R. Martin, J. Shragge, A.T. Ankamah, J.A. Hole, R. Czarny, J. du Toit, G. Goldswain, T. Dean, J. McGuiness, 2025, “Distributed acoustic sensing deployment strategies for longwall mines,” International Journal of Rock Mechanics and Mining Sciences, 189, article no. 106090, preprint.
  • Z. Dejneka, D. Homa, J. Buontempo, G. Crawford, E.R. Martin, L. Theis, A. Wang, G. Pickrell, 2024, “Magnetic Field Sensing via Acoustic Sensing Fiber with Metglas 2605SC Cladding Wires,” Photonics, 11(4), article no. 348.
  • A. Tourei, X. Ji, G.F. Rocha dos Santos, R. Czarny, S. Rybakov, Z. Wang, M. Hallissey, E.R. Martin, M. Xiao, T. Zhu, D. Nicolsky, A. Jensen, 2024, “Mapping Permafrost Variability and Degradation Using Seismic Surface Waves, Electrical Resistivity and Temperature Sensing: A Case Study in Arctic Alaska,” JGR: Earth Surface, 129(3), article no. e2023JF007352, preprint.
  • J.M. Manos, D. Graff, E.R. Martin, P. Paitz, F. Walter, A. Fichtner, B.P. Lipovsky, 2024, “DAS to Discharge: Using Distributed Acoustic Sensing (DAS) to infer glacier runoff,” Journal of Glaciology, 70, article no. e67, preprint.
  • D. Chambers, G. Jin, A. Tourei, A.H.S. Issah, A. Lellouch, E.R. Martin, D. Zhu, A. Girard, S. Yuan, T. Cullison, T. Snyder, S. Kim, N. Danes, N. Punithan, S. Boltz, M.M. Mendoza, 2024, “DASCore: a Python Library for Distributed Fiber Optic Sensing,” Seismica, 3(2), preprint.
  • A.H. Issah, E.R. Martin, 2024, “Impact of Lossy Compression Errors on Passive Seismic Data Analyses,” Seismological Research Letters, 95(3), pp. 1675-1686, preprint:, code link:
  • K.M. Yost, A. Yerro, E.R. Martin, R.A. Green, 2024, “A CPT Database for Multiple Thin-Layer Correction Procedure Development,” Earthquake Spectra, 40(1), pp. 803-827, database and code link.
  • X. Ji, M. Xiao, E.R. Martin, T. Zhu, 2024, “Statistical Evaluation of Seismic Wave Velocity Models of Permafrost,” Journal of Cold Regions Engineering, 38(3), article no. 04024021, preprint.