Project Grant 2437375

Award Date 6/15/25
Completion Date 5/31/28
Dollars Obligated $313K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
New Brunswick, NJ 08901, 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: Develop multi-fidelity numerical models of multiphase plumes to enable...
This $100,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at the University of Michigan to develop new capabilities for marine robotic systems to autonomously map, visualize, and navigate underwater environments. The project will leverage innovative machine learning methods to fuse acoustic and visual data from the robots, enabling improved mapping and localization in...
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This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal project grant award (CFDA 47.070) of $312,500 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 the physical underwater sensor network using heterogeneous AUVs, and (3) propose novel machine learning-based methods for collaboration between the AUVs and a land-based computational cluster. The project will verify and quantify the CPS capabilities through hardware-in-the-loop emulations, field tests, and experimentation. This research is expected to improve scientific understanding and forecasting of ocean phenomena, with potential applications in oceanography, environmental monitoring, national defense, and resource exploration/extraction.

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