Project Grant 2549429
- The National Science Foundation Division of Computer and Network Systems awarded Mississippi State University $899,933 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop trustworthy, resilient, and scalable security techniques for open radio access networks (O-RAN) used in 5G and 6G deployments. The project addresses security risks introduced by disaggregated network architectures where components from multiple vendors interact without...
- This $900,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to enhance the performance, intelligence, and security of Open Radio Access Network (O-RAN) technology. The project, led by Virginia Polytechnic Institute & State University (Virginia Tech), aims to address key challenges in O-RAN across three interconnected research thrusts: Developing a data-driven approach for real-time multi-user...
- The National Science Foundation Division of Information and Intelligent Systems awarded the Board of Regents of the University of Nebraska $433,609 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop trustworthy artificial intelligence frameworks for network autonomy in Open Radio Access Networks (O-RAN) supporting next-generation 6G mobile networks. The research program will design domain-informed AI/ML innovations addressing three...
- 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 Virginia Polytechnic Institute & State University $291,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research establishing a systematic security foundation for next-generation cellular networks. The project develops a data-centric security model for future cellular systems based on named data networking (NDN) to replace current...
- The National Science Foundation Division of Computer and Network Systems awarded Brown University $400,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop methods and tools for verifying the trustworthiness of pre-trained artificial intelligence models before their incorporation into scientific workflows and operational systems. The project addresses three major security vulnerabilities in the machine learning model supply chain....
- This $300,000 federal Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program, supports collaborative research at Michigan State University to enhance the performance, intelligence, and security of O-RAN (Open Radio Access Network) technologies. The project aims to address key challenges in O-RAN by developing data-driven beamforming techniques, machine learning algorithms for multi-user MIMO control, and safeguard...
- The National Science Foundation Division of Computer and Network Systems awarded the University of Illinois $900,000 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop formal verification methods for AI-enabled cyber-physical systems. The project develops a unified framework centered on perception contracts—formal, machine-checkable specifications that relate what an AI perception module delivers to what the surrounding control system...
- This $200,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop new diagnostic testing methods for 5G and beyond mobile network infrastructure, particularly the Radio Access Network (RAN) subsystem. The project aims to address limitations in current RAN testing by: (1) enhancing test coverage through exploiting dependencies across RAN software procedures and interfaces, (2)...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of California, Los Angeles $201,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to establish a systematic security foundation for next-generation cellular networks. The project develops a data-centric trust model for cellular network security based on named data networking, moving away from traditional session-based approaches. The...
The National Science Foundation Division of Information and Intelligent Systems awarded Sri International $252,975 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop formal verification techniques for securing artificial intelligence-native Open Radio Access Network (O-RAN) applications. The project, titled "VERIRAN: Securing AI-Native O-RAN Applications via Formal Invariant Verification," establishes a framework to automatically evaluate whether network control software applications comply with security, safety, and operational requirements before deployment. The work addresses the increasing reliance of modern wireless systems on programmable software that manages network operations, optimizes performance, and supports automated decision-making, where defects or malicious behavior can disrupt services or trigger widespread failures. The effort is organized around three technical thrusts: translating O-RAN security and operational requirements into machine-checkable policies; automatically extracting behavioral models from application source code using static and data-flow analysis, including software containing artificial intelligence-based decision logic; and integrating inferred models with formal policy monitors to verify correctness, detect violations, generate counterexamples, and recommend repairs. The project aims to establish a rigorous and scalable approach for connecting high-level policy intent with low-level software behavior in operational wireless networks. Performance takes place in Menlo Park, California, with a period of performance from August 1, 2026, through July 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $253.0k | 8/9/26 |