Project Grant 2549262
- The National Science Foundation Division of Information and Intelligent Systems awarded $155,000 to The Research Foundation For The State University of New York on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop data-centric artificial intelligence methods for proactive telecommunication network operations. The project runs through September 30, 2029, with performance in Albany, New York. The research organizes around three coordinated...
- The National Science Foundation Division of Information and Intelligent Systems awarded The Washington University $675,000 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to advance technological management of computer networks through research into the safe delegation of network operational tasks to artificial intelligence agents while retaining human governance and accountability. The project develops scientific and technical principles for...
- The National Science Foundation Division of Information and Intelligent Systems awarded Massachusetts Institute of Technology $850,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to investigate whether AI agents can assist in the expert-level design of networked systems. The project studies how large language models and AI systems capable of experimentation, reasoning, and hypothesis formation can participate in the design work currently...
- The National Science Foundation Division of Information and Intelligent Systems awarded George Washington University $380,000 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop artificial intelligence algorithms and specialized hardware for efficient analysis of complex biological networks in molecular biology and genomics. The project runs through June 30, 2030, with performance at Washington, DC. The work addresses scalability...
- The National Science Foundation Division of Information and Intelligent Systems awarded George Washington University $400,256 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research on SensaBridge, a learnable sensor-AI bridge for ubiquitous edge intelligent processing. The project develops an algorithm-hardware co-design framework that enables efficient, scalable, and flexible integration of sensing and artificial...
- The National Science Foundation Division of Information and Intelligent Systems awarded Purdue University $427,000 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop networking algorithms and programmable photonic interconnects for accelerating artificial intelligence training and inference workloads. The project addresses power consumption and bandwidth scaling constraints in existing electrical interconnects as AI models grow in scale...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Texas at Arlington $408,211 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop an artificial intelligence-driven framework for proactive wireless network resource management in next-generation networks. The project creates deep learning models using multi-headed transformer architecture to translate raw sensor data from cameras and...
- This $150,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) funds the development of an innovative computational electromagnetics (CEM) framework that leverages physics-informed artificial intelligence (AI) models. The project aims to enhance the analysis and design of on-chip optical interconnects, which are crucial for achieving ultra-high bandwidth and speeds in modern computing...
- The National Science Foundation Division of Information and Intelligent Systems awarded Wayne State University $357,954 on May 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop GPU-integrated network infrastructure for real-time artificial intelligence inference at the network edge. The research addresses latency constraints in current network architecture by embedding graphics processing units directly into routers, enabling in-network data...
- The National Science Foundation Division of Information and Intelligent Systems awarded North Carolina State University $103,965 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research on LLM-guided adaptive networking with edge intelligence for emergency response. The project develops an intelligent communication network that uses artificial intelligence to understand and predict changes in fire scenes and first responder...
The National Science Foundation Division of Information and Intelligent Systems awarded George Washington University $200,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop AI-integrated architecture and algorithms for next-generation optical networks. The project addresses the integration of artificial intelligence and machine learning into optical network control, management, and failure recovery. Historically, optical network control has relied on rule-based methods and heuristics; this award funds development of a systematic framework to apply AI techniques to resource allocation, performance optimization, and failure management in fiber-optic backbone networks. The research is organized around three thrusts: comprehensive AI-integrated architecture for optical network control and management, investigation of AI capabilities and limits for resource allocation, and design of new algorithms that exploit those capabilities. The work aims to enable faster, more effective network decisions that improve performance, increase utilization, and enhance resilience under normal and failure conditions, addressing the bandwidth demands driven by video-intensive services, online gaming, virtual and augmented reality, and artificial intelligence model training and deployment. Performance is based in Washington, DC 20052. The award period runs from October 1, 2026, through September 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 7/29/26 |