Project Grant N629092012078

This $818,396 Project Grant awarded by the National Science Foundation (NSF) under the Integrative Activities program (CFDA 47.083) will develop a multi-agent AI system of three bio-inspired underwater vessels and a control buoy. The goal is to enhance understanding of hydrodynamics and control of multi-swimmer systems, advance the theory and practice of programmable underwater networks, and enable effective survey of coastal zones. Key deliverables include: (A) three bio-inspired robotic fish...

This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $400,000 over 3 years to the Regents of the University of Michigan to develop a novel self-powered multimodal MEMS sensor system that can simultaneously detect pH, pressure, and temperature in marine environments. The researchers aim to create an innovative, highly sensitive, and energy-efficient sensor to support marine carbon dioxide removal (MCDR) efforts by providing uninterrupted,...

The U.S. Department of Energy's Advanced Research Projects Agency-Energy (ARPA-E) awarded a $3,904,266 Cooperative Agreement to the Woods Hole Oceanographic Institution (WHOI) to develop small, low-cost, multiparameter carbon sensors that can be fabricated at scale. The 3-year project, starting on June 7, 2024, aims to create sensor "motes" that can cost-effectively monitor the evolution and fate of marine carbon dioxide across broad spatial and temporal scales. The sensors will...

This Project Grant award from the National Science Foundation's (NSF) Division of Environmental Biology, under CFDA Program 47.074 Biological Sciences, is providing $103,398 to Florida International University (FIU) to develop a novel seafloor sensor/sampler system and associated machine learning control systems. The goal is to better understand how tidal pumping and subsurface currents influence seafloor oxygenation and sedimentary carbon cycling. The project will provide mentoring and field...

The National Science Foundation (NSF) awarded a $600,000 Project Grant to the Massachusetts Institute of Technology (MIT) under the CFDA program "Computer and Information Science and Engineering" to develop fundamental technologies that advance the ability for scalable ocean sensing. The goal of this 3-year project is to design, build, and evaluate a low-power, long-range underwater backscatter communication network. The proposed research seeks to overcome the range limitations of...

This $304,999 SBIR Phase I grant awarded by the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of a high-frequency multiple-input multiple-output (MIMO) underwater acoustic communication system. The project aims to create a real-time, high-data-rate wireless communication technology that minimizes noise pollution and interference with marine life, enabling improved environmental monitoring and safer underwater operations....

This $199,976.00 Project Grant, awarded by the National Science Foundation (NSF) under the Engineering federal grant program (CFDA 47.041), aims to develop an AI-defined high-speed underwater optical networking system that integrates sensing and communication capabilities. The project, titled "Towards an AI-Defined Integrated Sensing and Communication Underwater Optical Networking System," will address limitations in existing underwater communication methods by designing novel...

This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $1,354,056 to the University of California San Diego Scripps Institution of Oceanography to jointly implement a new measurement technique called distributed acoustic sensing. This technique will generate high-resolution (10 m in space, minutes in time) images of ocean temperature and current velocity fields above a 34-km cable laid on the seafloor off the Azores islands. The goal is to...

The Tampa Deep Sea Xplorers LLC (TDSX) will develop a compact underwater light detection and ranging (LIDAR) system for integration into small remotely operated vehicles (ROVs) and autonomous underwater vehicles (AUVs) under a $128,918 Phase I Small Business Innovation Research (SBIR) project grant from the National Oceanic and Atmospheric Administration (NOAA). The Phase I SBIR project will prove the feasibility of reducing the size and weight of a LIDAR system for internal installation in...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $187,492 to the Woods Hole Oceanographic Institution (WHOI) to design a cyber-physical system (CPS) comprising networked autonomous underwater vehicles (AUVs) for machine learning-assisted identification and mapping of marine plumes. The project aims to develop an adaptive and intelligent network of heterogeneous AUVs to enable...