معرفی
Eileen R. Martin is an Associate Professor at Colorado School of Mines, jointly appointed in Geophysics and Applied Math and Statistics with a 60/40 split. She collaborates with two industry-aligned consortia: the Center for Wave Phenomena (CWP) and the Center to Advance the Science of Exploration to Reclamation in Mining (CASERM).
- PhD, Institute for Computational and Mathematical Engineering, Stanford University (2018)
- MS, Geophysics, Stanford University
- BS, Mathematics and Computational Physics, University of Texas at Austin
Her research bridges computational science and geophysics with applications to subsurface characterization using advanced sensing technologies. She focuses on distributed acoustic sensing (DAS), seismic imaging, inverse problems, and machine learning for geoscientific data analysis. Recent work explores permafrost thaw monitoring, glacier hydrology, and mine seismicity through scalable algorithms.
Selected 2024-2025 Publications:
- Modeling permafrost thermodynamics with differentiable computing
- DAS applications in cryoseismic cataloging and glacier monitoring
- Urban traffic monitoring via multicomponent seismic data
- Open-source DASCore Python library development
- Lossy compression effects on seismic data integrity
Scientific Awards:
- NSF CAREER grant
- SIAM Geosciences Early Career Prize
- SEG J. Clarence Karcher Award
- Presidential Early Career Award for Science and Engineering (PECASE)
Academic Leadership:
- Advising 13 graduate students (MS/PhD) across Geophysics, Applied Math, and Hydrologic Engineering
- Teaching courses in Parallel Scientific Computing, Digital Signal Processing, and Mathematical Geophysics
- Co-leading weekly group meetings with industry consortia integration
Labs & Collaborations:
- Center for Wave Phenomena (CWP) at Mines
- CASERM: Mining Exploration to Reclamation Consortium
- Stanford Exploration Project (alumni)
- Lawrence Berkeley National Lab affiliate
