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NSF award 2530787 · University of Texas at El Paso

Collaborative Research: CAIG: Multi-Task and Multi-Scale Deep Learning Inversion for Geophysical Imaging and Monitoring

Final report due

28 January 2027

in 102 days · The award ends on 30 September 2026.

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Dates this award owes

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  • Final report due28 Jan 2027in 102 days

    award ending 2026-09-30 · Research.gov

  • Project outcomes report due28 Jan 2027in 102 days

    award ending 2026-09-30 · Research.gov

  • Award is closed out28 Jan 2027in 102 days

    award ending 2026-09-30 · Research.gov

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How we got this date

  1. NSF lists this award's end date as 30 September 2026.
  2. NSF rules say the final report is due no later than 120 days after that.
  3. So the final report is due by 28 January 2027.

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Award card

Award number
2530787
Period of support
1 Jan 2026 – 30 Sep 2026
Amount
$589,708
Awardee
University of Texas at El Paso, EL Paso, TX
Program
GEO CI - GEO Cyberinfrastrctre
Directorate
GEO

Abstract

Understanding the Earth’s subsurface is essential for society’s ability to monitor natural hazards, manage environmental risks, and support sustainable energy development. Seismic waves generated by earthquakes and other sources can provide clues about underground structures, but interpreting these waves remains complex and computationally intensive. This project will advance artificial intelligence (AI) methods for…

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