Project Grant 2548782
- The National Science Foundation Division of Information and Intelligent Systems awarded Temple University $110,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop an agentic AI-powered next-generation wireless network architecture with integrated sensing and communication for real-time healthcare applications. The project runs through September 30, 2029, with place of performance in Philadelphia, Pennsylvania. Temple University will...
- The National Science Foundation Division of Information and Intelligent Systems awarded the New Jersey Institute of Technology $434,844 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop opportunistic and adaptive multi-modal in-sensor computing architectures for artificial intelligence of things applications. The project advances the design of intelligent sensing systems through three interconnected research thrusts. The first develops...
- The National Science Foundation Division of Information and Intelligent Systems awarded North Carolina State University $133,333 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop ARMANI, a collaborative research framework embedding artificial intelligence into the core of next-generation wireless network management and control. ARMANI addresses three critical limitations in open radio access network (O-RAN) management. The framework...
- 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...
- 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 awarded a $240,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to Rutgers, The State University in New Brunswick, NJ. The goal of this 3-year grant is to develop transformative machine-learning and data analytics technologies to enable AI-based applications on resource-constrained edge computing devices like IoT devices, AR/VR headsets, and drones. The project seeks to address the gaps between the data...
- 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's Division of Information and Intelligent Systems awarded a $164,110 Project Grant to the University of Colorado-Denver on July 15, 2025, to develop artificial intelligence-driven radio frequency identification (RFID) sensing systems for smart health monitoring applications. The primary deliverables include the development of novel machine learning and artificial intelligence techniques to address fundamental challenges in RF-based health sensing, specifically...
- 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...
- This $200,000 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program supports research by the New Jersey Institute of Technology (NJIT) to develop novel techniques for analyzing spatial-temporal data in AI-driven Internet of Things (AIoT) systems. The key focus areas of the research include: (i) improving the efficiency of data analysis through novel graph neural network pruning and topology...
The National Science Foundation Division of Information and Intelligent Systems awarded Rutgers, The State University $330,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop an agentic AI-powered next-generation wireless network architecture with integrated sensing and communication for real-time healthcare applications. The project develops a hierarchical AI-enabled network architecture incorporating generative AI for interpretable, multi-step decision-making and a multimodal integrated sensing and communication system designed to address joint self-interference and cross-band interference. IoT devices and AI-enabled routers function as health monitors capable of detecting falls, seizures, and other urgent health events and sending instantaneous alerts. The architecture leverages AI agents working collaboratively across the network to make fast and robust decisions. An application-aware routing layer employs agent-driven service mechanisms to optimize service distribution. The research supports real-time healthcare monitoring systems to enhance public health outcomes, support proactive disease management, and reduce hospitalizations and healthcare costs. The education program includes curriculum development and student involvement in research on wireless networking and healthcare-related IoT systems. Performance occurs in New Brunswick, New Jersey, with a period of performance from October 1, 2026, through September 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $330.0k | 8/4/26 |