Project Grant 2502132
- The National Science Foundation (NSF) awarded a $500,000 Project Grant under the Engineering program (CFDA 47.041) to Wayne State University, located in Detroit, Michigan. The goal of this 5-year research project, which commenced on October 1, 2025, is to investigate fundamental limits and algorithmic principles for trustworthy sequential decision-making in artificial intelligence and machine learning (AI/ML) systems, particularly those powered by reinforcement learning. The research focuses...
- The National Science Foundation (NSF) awarded a $174,608 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to the University of North Dakota (UND) for the project "CRII: SATC: TOWARDS SUSTAINABLE INTRUSION DETECTION FOR EDGE VIA SPATIAL COLLABORATION AND TEMPORAL KNOWLEDGE RETENTION." The project aims to develop effective and adaptive intrusion detection systems (IDS) for edge computing environments, which are critical for sectors...
- This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) aims to transform the way artificial intelligence (AI) transfers learned knowledge from simulated environments to real-world applications. The $249,999 project, awarded on June 1, 2025, with a completion date of May 31, 2028, will develop a novel neuro-symbolic framework that integrates advanced hyperdimensional computing and symbolic reasoning. This approach will enable transparent and...
- The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $200,000 Project Grant to Temple University to develop transformative machine learning and data analytics technologies for enabling AI-based applications on resource-constrained edge computing devices. The project aims to address gaps between the complexity of data and the limited computing resources on edge devices, as well as the need for robust predictive models across heterogeneous edge...
- This National Science Foundation (NSF) Project Grant award, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $159,979 to the New York Institute of Technology (NYIT) from September 1, 2023 to August 31, 2026. The grant supports the development of transformative machine learning and data analytics technologies to enable efficient and robust artificial intelligence (AI)-based applications on resource-constrained edge computing devices such as IoT sensors,...
- The National Science Foundation (NSF) awarded a $549,999 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of North Texas (UNT). The grant, with an award period of July 1, 2025 to June 30, 2030, will support the development of a time-sensitive large model training platform for dynamic data analytics. This research aims to create methods to dynamically refine and adapt existing large-scale deep learning models, enabling real-time...
- The National Science Foundation (NSF) awarded a $299,998 Project Grant to Oklahoma State University under the NSF Directorate for Engineering (CFDA 47.041) program. This grant supports fundamental research to enhance the efficiency, robustness, and privacy of decentralized machine learning algorithms for processing distributed datasets. The project aims to develop a theoretical framework for efficient and private decentralized Bayesian learning methods that can produce accurate and reliable...
- The National Science Foundation (NSF) awarded a $119,876 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to the Regents of the University of Minnesota to design, develop, and sustain FLTEST, an interdisciplinary testbed that automates privacy and robustness evaluations in federated learning systems. This project aims to address challenges in existing privacy-preserving AI systems by developing comprehensive testing tools that can verify the...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Engineering program (CFDA 47.041) to the Regents of the University of Minnesota for the project "Collaborative Research: Multi-Modal Sensing with Robust, Unified, and Scalable Diffractive Optical Neural Networks." This project explores a transformative computing paradigm based on photonic-driven, rather than electronic-based, information processing. The researchers will develop specialized, ultrathin...
- The National Science Foundation (NSF) awarded a $343,340.00 Project Grant to North Carolina State University (NC State) under the Engineering program (CFDA 47.041). The purpose of this award is to advance the science of learning-based sensing and processing technologies by developing an adaptive, task-oriented, and physics-aware data-to-decision pipeline. This will involve three interconnected objectives: (1) developing learning-based physics-aware multi-dimensional signal reconstruction...
The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $199,993 project grant to the University of North Dakota (UND) to develop a novel data synthesis framework for edge-based artificial intelligence (AI) applications in network measurement. The grant, awarded from October 1, 2025 to September 30, 2027, aims to address the challenge of providing accurate and up-to-date data to edge AI applications while preserving user privacy and minimizing communication overhead. The project will create a staleness-resilient, privacy-aware data synthesis framework that combines quality-controlled synthetic data generation with decentralized collaboration among edge devices. This research is expected to improve real-time performance and reliability in edge applications like anomaly detection and traffic classification, with broader impacts including enhanced security and efficiency in edge-based systems across sectors such as healthcare, industrial control, and mobile communications.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 7/31/25 |