Project Grant 2548783
- 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...
- 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 (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...
- Federal Grant Award Summary Temple University received a $227,886 Project Grant award from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective June 1, 2025 through July 31, 2026. The project delivers a novel deep sensor array decoding system designed to advance remote health monitoring capabilities for precision medicine applications. The core deliverable addresses signal degradation and...
- The National Science Foundation Division of Graduate Education awarded Temple University $146,450 on August 15, 2026, under the STEM Education program (CFDA 47.076) to develop and validate theory-guided educational materials for AI auditing competency in undergraduate and graduate computing programs. The project will create six modular curriculum units covering AI auditing frameworks, model assessment, and continuous model auditing, accompanied by hands-on labs using real-world datasets and...
- 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 $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...
- The National Science Foundation Division of Information and Intelligent Systems awarded Texas A&M Engineering Experiment Station $250,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research on proactive wireless network control in future broadband systems. The project develops framework and artificial intelligence models for optimal resource management in frequency range 3 (FR3) upper mid-band wireless...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Utah $120,260 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop AI-enhanced reconfigurable terahertz CMOS transceiver panels for next-generation wireless communication systems. The collaborative research effort, which runs through September 30, 2029, and is performed in Salt Lake City, Utah, brings together investigators from...
- 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 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 design a hierarchical artificial intelligence network architecture that integrates generative AI to enable interpretable, multi-step decisions for healthcare monitoring. The work includes developing a multimodal integrated sensing and communication system to address joint self-interference and cross-band interference, with health-centric domain adaptation mechanisms for rapid model adaptation to real-world dynamics, and an application-aware routing layer with agent-driven service mechanisms to optimize distribution across the network. IoT devices and AI-enabled routers will function as health monitors capable of detecting falls, seizures, and other urgent health events and sending instant alerts. The project incorporates curriculum development and student involvement in research on wireless networking and healthcare-related IoT systems.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $110.0k | 8/4/26 |