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 and next positions:
  • A. Tourei, “Integrated Seismic Monitoring Techniques for Scalable and High-resolution Permafrost Characterization,” Ph.D. Thesis, Hydrologic Science and Engineering, Colorado School of Mines, Dec. 2025, next position: Geocomp, Inc.
  • 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, next position: Cadmus.
  • N. Punithan, “Automating Near-surface Characterization Using Ambient Noise Distributed Acoustic Sensing Data,” M.S. Thesis, Geophysics, Colorado School of Mines, May 2025, next position: Ph.D. student in Geophysics at Mines.
• Papers recently accepted or published:
  • L. Gou, M. Xiao, T. Zhu, E.R. Martin, Z. Wang, G. Rocha dos Santos, D. Nicolsky, X. Ji, 2026, “Physics-Informed Digital Twin for Predicting Permafrost Thermodynamic Characteristics Under an Embankment Road in Utqiaġvik, Alaska,” recently accepted to JGR: Earth Surface.
  • 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 accepted to Machine Learning: Earth, preprint.
  • S. Yuan, F. Bernauer, J. Wassermann, E.R. Martin, H. Igel, 2025, “Tracking vehicle sources using six-component seismic point measurements,” Seismica, 4(2), preprint.
  • 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 accepted to Seismological Research Letters.
  • 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.
• Papers recently submitted and currently under review:
  • A.H.S. Issah, E.R. Martin, L. Tenorio, 2026, “QR-Based Coherence Analysis for Seismic Signal Detection in Dense Arrays,” under review currently.
  • X. Ji, E.R. Martin, M. Xiao, A. Tourei, D. Nicolsky, A. Jensen, 2026, “Kilometer-scale distributed temperature sensing reveals heterogeneous permafrost warming near Arctic infrastructure,” under review currently.
  • N. Punithan, E.R. Martin, J. Shragge, A. Tourei, I. Lim Chen Ning, 2026, “Automating Near-surface Seismic Characterization Using Ambient Dark Fiber Analysis: Challenges and Opportunities,” under review currently.
  • A. Tourei, A. Ankamah, J. Hole, G. Rocha dos Santos, M. Xiao, E.R. Martin, 2026, “Finding Needles in the Haystack: Unsupervised Anomaly Detection in Large-Scale Distributed Acoustic Sensing Data,” under review currently.
  • S. Yuan, E.R. Martin, C.B. Kratt, S. Sayyadi, 2025, “Potential Higher-mode Bias in DAS-based MASW for Near-surface Characterization,” under review currently.