Project Grant 2602962
- The National Science Foundation Office of Integrative Activities awarded Prairie View A&M University $628,653 on September 1, 2026, under the Integrative Activities program (CFDA 47.083) to establish a computational framework translating nature's structural designs into engineering practice through artificial intelligence and machine learning for biomimetic design. The research extracts quantitative, machine-executable design rules linking biological morphology to performance, encodes...
- The National Science Foundation Office of Integrative Activities awarded Prairie View A&M University $900,000 on October 1, 2026, under the Integrative Activities program (CFDA 47.083) to develop an artificial intelligence-powered multi-agent system for real-time quality-of-service anomaly detection and adaptive network optimization in 6G-enabled industrial Internet of Things environments. The research delivers a decentralized multi-agent framework that continuously monitors network...
- The National Science Foundation Office of Integrative Activities awarded Prairie View A&M University $1.220 million on September 1, 2026, under the Integrative Activities program (CFDA 47.083) to develop artificial intelligence-enabled real-time monitoring and process control for reliable additive manufacturing of advanced metal alloys. The project integrates real-time sensing, artificial intelligence, and advanced manufacturing techniques to accelerate material design cycles for...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Texas A&M Engineering Experiment Station five hundred thousand dollars on April 15, 2026, under the Engineering program (CFDA 47.041) to develop AI-enabled autonomous coordination of ultra-large-scale converter-based distributed energy resources in power networks. The project focuses on advancing safe, stable, and economically optimal operation of integrated transmission-distribution power...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded Virginia Polytechnic Institute & State University $1.2 million on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to investigate power-related vulnerabilities in AI data centers and their interactions with power grids. The project characterizes vulnerabilities arising from high-density accelerators and energy-intensive computing in AI facilities, focusing on...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Texas A&M University $120,000 on January 1, 2027, under the Engineering program (CFDA 47.041) to develop a subspace optimization framework for resource-efficient and private fine-tuning of large language models. The research addresses the challenge of adapting general-purpose large language models to specialized tasks without requiring substantial computing resources or access to sensitive...
- This National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) Project Grant award of $397,000.00 to North Carolina State University (NC State) aims to develop an Artificial Intelligence Engineering System Analysis Assistant (AIESAA) to automate the creation of integrated transmission-distribution grid models. Key objectives include: Leveraging advanced machine learning techniques to streamline three crucial modeling tasks: scenario classification, reduced-order model selection and...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded North Carolina State University $300,000 on January 1, 2027, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop and deliver workforce training in artificial intelligence-enabled power grid research. The project, titled POWERCYBER: Scalable Workforce Development for AI-Enabled Power Grids, prepares faculty, postdoctoral researchers, and graduate students to integrate power...
- This federal Project Grant award of $200,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a novel AI-surrogate enhanced cyberinfrastructure to accelerate large-scale power grid simulations. The key products and services to be delivered through this award include: Program-behavior analysis to identify optimal code regions for AI surrogate replacement Semi-automatic AI surrogate construction that...
- The National Science Foundation Office of Integrative Activities awarded Prairie View A&M University $567,512 on August 15, 2026, under the Integrative Activities program (CFDA 47.083) to conduct research on charge transport and electronic coupling in cofacially stacked oligofluorene systems. The project investigates fundamental relationships between molecular structure and electronic properties in organic semiconductors, with three integrated research objectives: synthesis of difluorene...
The National Science Foundation Office of Integrative Activities awarded Prairie View A&M University $699,999 on October 1, 2026, under the Integrative Activities program (CFDA 47.083) to develop an artificial intelligence-assisted high-performance parallel computing framework and computational toolbox for power system optimization. The project will create faster, more reliable, and more adaptable methods for optimal operational decision-making in managing the electric power grid while maintaining its reliability, affordability, and resilience. The framework combines artificial intelligence with high-performance parallel computing to divide, solve, and coordinate large operational problems more effectively. The work will develop intelligent methods that adapt the problem-solving process to changing grid conditions and computing resources while preserving physical feasibility and numerical stability. The project addresses limitations in existing parallel optimization methods that depend on fixed decomposition rules, manually selected algorithm parameters, and static computational task assignments, which can lead to slow convergence, uneven processor workloads, and inconsistent solution quality as system conditions change. Intellectual merit includes new knowledge on how artificial intelligence can guide problem decomposition, improve convergence and solution quality, and manage computing resources within rigorous optimization methods. Broader impacts include strengthening electric-grid reliability and efficiency, supporting national energy security and sustainable energy future, developing educational modules and hands-on training, engaging students, and sharing results through publications, workshops, software tools, and benchmark datasets. Performance occurs in Prairie View, Texas, with a period of performance from October 1, 2026, through September 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $700.0k | 8/11/26 |