Cooperative Agreement 90FPSG0033

This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $117,090 to New York University (NYU) to advance the mathematical foundations of robust finance and decision-making under uncertainty. The project has two key focus areas: 1) Developing a systematic framework to quantify divergences between stochastic models, with the goal of uncovering the underlying geometric structure of stochastic processes to facilitate...

This Cooperative Agreement award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program provides $1,250,000 in funding to Space Balloon Technologies Corp (Spaceloon) to develop a mesospheric sub-orbital ballooning system. The goal is to create a market-ready ballooning platform that can reliably and cost-effectively access the mesosphere to provide long-duration (>1 hour) sub-orbital testing services for satellites and space payloads....

This $304,963 SBIR Phase I project, awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, aims to develop a constellation of small, high-altitude balloons for improved atmospheric data collection. The key product is a global network of long-duration, low-cost, lightweight weather balloons that can significantly reduce weather forecast uncertainty by filling data gaps over oceans and undersampled regions. The project's broader...

This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $299,990.00 to Rensselaer Polytechnic Institute (RPI) to investigate a novel algorithm called the Linked Ensemble Aggregation Procedure (LEAP) for optimizing chaotic dynamical systems. The research objectives are to: I) investigate LEAP's accuracy, parameters, and limitations; II) seek to improve LEAP's robustness; and III) generate a solution algorithm suitable for large-scale...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $300,000 to Purdue University from October 1, 2023 to September 30, 2026. The project aims to develop advanced machine learning and optimization techniques to enable autonomous resource management in next-generation wireless networks, with a focus on improving quality-of-experience for augmented reality applications. Key objectives...

This one-year, $150,000 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program, will support research into real-time strategies and synchronized time distribution mechanisms to improve exascale performance, portability, and predictability in high performance computing. The grantee, Trustees of Boston University, will conduct five tasks: demonstrating accurate clock distribution...

This $500,000 National Science Foundation Project Grant supports research at the University of North Carolina at Chapel Hill to develop efficient implementations of multi-level budget enforcement in complex multithreaded real-time systems running on multicore computers. The research will identify the levels at which budgets must be enforced, examine implications for safety certification of such enforcement, and produce efficient enforcement mechanisms. This work aligns with the goals of the...

This $350,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at North Carolina State University (NC State) to develop a unified optimization design framework for human-energy storage system (ESS) interactions. The overarching goal is to create a synergistic framework that optimizes system-level performance and affordability of ESS-powered applications by accounting for dynamic user behaviors. Key research objectives include:...

This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program provides $250,000 to the College of William and Mary to support research and education activities under the EASER framework from June 2022 through May 2025. The award will fund the development of an integrated paradigm for application execution on heterogeneous high-performance computing clusters. Key products and services include compiler-driven performance prediction models, an...

This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program totaling $187,180 will support research into hybrid switching in data center networks from October 1, 2022 through July 31, 2023. The grant recipient, Princeton University, will develop systems-driven modeling and principled algorithms to address the challenges of fast, dynamic switching capabilities needed to meet rapidly growing and changing traffic demand patterns in...