Project Grant 2531574
- This federal Project Grant award in the amount of $200,000 was issued on September 15, 2023 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA #47.070). The grant supports the development and deployment of a multi-hazard monitoring and detection system combining the University of Hawaii's climate mesonet infrastructure with Northwestern University's artificial intelligence-enhanced sensor platform. This system is being...
- The University of Hawaii (UH) was awarded a $299,943 Project Grant from the National Science Foundation's (NSF) Integrative Activities Program (CFDA 47.083) to enhance flood detection and mapping capabilities. The project aims to develop state-of-the-art computational tools using polarimetric synthetic aperture radar (PolSAR) data, metaheuristic algorithms, and deep learning techniques to rapidly and accurately map flooded areas. This research will help improve disaster response, water...
- This Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will support the development of machine learning methods for estimating the risk of adverse weather and climate events, such as rapid changes in solar power generation and flooding. The University of Hawaii at Manoa, as the prime contractor, will apply advances in generative artificial intelligence...
- This $165,000 Project Grant award from the National Science Foundation (NSF) Engineering (CFDA 47.041) program supports the development of a novel adaptive data collection framework for automated post-disaster rapid damage assessment. The project at Arizona State University's Orspa division will create a Bayesian-based system that analyzes recent observations to dynamically update the trajectories of data collector agents toward areas with the greatest potential for information gain. This will...
- This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program aims to enhance disaster response and recovery through improved capabilities of machine learning and autonomous systems for rapid damage assessment. The $458,784 award to Lehigh University will develop a smart technology that leverages big data, autonomous systems, and physics-informed models to address complex problems of hazard projection and real-time...
- The National Science Foundation (NSF) awarded a $190,402 Project Grant under the Engineering program (CFDA 47.041) to The Trustees of the Stevens Institute of Technology in Hoboken, New Jersey. This collaborative research project develops a novel adaptive data collection framework to enable reliable data collection under severe time and resource constraints for automated post-disaster rapid damage assessment. The system leverages a Bayesian probabilistic modeling approach to dynamically...
- The National Science Foundation awarded a $405,000 Project Grant to the University of Hawaii at Manoa through its Engineering program (CFDA 47.041) to support collaborative research on human-robot sensory transfer for remote undersea inspection and construction tasks. The research aims to improve worker productivity, training, and quality of life for tasks such as undersea infrastructure inspection and maintenance through Dec. 1, 2025. The University of Hawaii Systems will oversee grant...
- This $499,938 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program will support research and development focused on reviving and enhancing traditional Hawaiian fishponds to improve local food production and environmental resilience. The project aims to integrate microbial ecology and community-based knowledge to restore ecosystem function, support regional food security, and develop scalable solutions for...
- The National Science Foundation Division of Computer and Network Systems awarded a $999,699 Project Grant to the University of Hawaii at Manoa under the Computer and Information Science and Engineering program (CFDA 47.070) to support the "SCC-CIVIC-FA Track B: Hoomalu Halelea - Community-led Innovation for Integrated Flood Resilience" project. The grant aims to advance community-led innovation for integrated flood resilience on the island of Kauai through investigator-initiated...
- The National Science Foundation awarded a $500,000 Project Grant from the Geosciences program (CFDA 47.050) to the University of Maryland, College Park. The grant will fund a collaborative research project titled "CAIG: Reliable Generative Downscaling for Geoscience Data" from October 1, 2025 to September 30, 2028. The project aims to develop a transformative AI-based framework for generating high-fidelity, physically consistent, and uncertainty-calibrated geoscience data. This will...
This Project Grant award of $500,000 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports a collaborative research effort led by the University of Hawaii at Manoa. The goal is to develop a novel, low-cost system for localized data acquisition to enable communities in Hawaii and similar remote, rural, and austere regions to actively participate in monitoring their local environments. The project will integrate three core innovations: a 3D-printed, open-source electronics printer for producing high-performance sensors; an AI-enabled edge computing platform for data analysis; and a framework for participant-based co-design. By making these tools more readily available to local communities, the project aims to improve community preparedness and provide valuable data for disaster planning and response. The award has a performance period from January 1, 2026 to December 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.0k | 8/22/25 |