Project Grant 2437376

Award Date 6/15/25
Completion Date 5/31/28
Dollars Obligated $187K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Woods Hole, Falmouth, MA, USA
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This federal Project Grant award, valued at $187,492 and awarded on June 15, 2025, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The award aims to design a cyber-physical system (CPS) comprising networked autonomous underwater vehicles (AUVs) to perform machine learning-assisted identification of marine plumes. The key objectives are to:

  1. Develop multi-fidelity numerical models of multiphase plumes to enable real-time forecasting.
  2. Design a physical underwater sensor network using heterogeneous AUVs as mobile sensor nodes, equipped with plume sensors and communication systems.
  3. Propose novel machine learning-based methods for collaboration between the AUVs and a land-based computational cluster to efficiently manage network resources.

This high-risk, high-reward research project seeks to advance scientific understanding and technological capabilities in underwater CPS, with potential applications in oceanography, environmental monitoring, national defense, and resource exploration. No sub-awards are planned under this grant.

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