Project Grant 2626386
- Federal Grant Award Summary This Project Grant, awarded by the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), provides $199,904 in funding to Santa Clara University to develop advanced analytical methods for designing agile radio-frequency (RF) resonators. The project, which commenced October 1, 2025 and concludes September 30, 2027, aims to advance the mathematical and theoretical tools available to RF...
- Federal Grant Award Summary Award Overview and Research Objectives The National Science Foundation's Engineering program (CFDA 47.041) awarded $595,000 to the University of California, Berkeley on October 1, 2025, for a three-year project (completion September 30, 2028) focused on developing fundamental techniques for three-dimensional (3D) heterogeneous-integrated radio-frequency integrated circuits (RFICs) for next-generation phased-array systems. The primary deliverable is the development and...
- Grant Award Summary The National Science Foundation's Directorate for Engineering (CFDA 47.041) awarded $210,000 to the University of California, Merced as prime recipient for a collaborative research project initiated January 1, 2026, and scheduled for completion December 31, 2028. The project develops an innovative radio frequency (RF) signal propagation modeling framework utilizing neural radiance fields to synthesize high-fidelity received signals at arbitrary transmitter and receiver...
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded a $400,000 Project Grant to the University of Maryland, College Park on February 1, 2026, under the Computer and Information Science and Engineering (CFDA 47.070) program. This collaborative research initiative focuses on developing ultrawideband (UWB) communications and sensing technologies utilizing true time delay arrays operating across the 7-24 GHz upper midband...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded The Leland Stanford Junior University a $352,406 Project Grant (CFDA 47.070, Computer and Information Science and Engineering) effective May 1, 2026, through April 30, 2031, to develop next-generation network scanning tools and methodologies for comprehensive Internet security assessment. The project will deliver three primary technical contributions: (1) advanced network...
- Federal Grant Award Summary The National Science Foundation awarded Stevens Institute of Technology a $600,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program, effective October 1, 2025, through September 30, 2029. This collaborative research initiative, titled "OASIS: An Open-Source AI-Driven EDA Tool for Real-Time Synthesis of Short-Distance Wireless Interconnects on Silicon," develops the first open-source, artificial...
- Federal Grant Award Summary The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded The Leland Stanford Junior University a $300,000 Project Grant effective July 1, 2026, through June 30, 2029, to develop integrated piezoelectric resonator-enabled power converters for electrified transportation applications. The research deliverables include the design and validation of microfabricated piezoelectric resonators that replace traditional magnetic inductors and...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded $200,000 to the University of Massachusetts on June 15, 2025, under the Engineering program (CFDA 47.041) for a project titled "Closed-Loop Hybrid Intelligence with Optogenetic-Neuromorphic Co-Designed Cell Interfaces." The project, scheduled for completion by May 31, 2028, delivers advanced engineering tools and methods that integrate high-resolution...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded the Regents of the University of Michigan a $800,000 Project Grant (CFDA 47.070: Computer and Information Science and Engineering) beginning September 1, 2026, through August 31, 2030. The project develops a neuro-symbolic reasoning framework for hardware-software co-design that integrates artificial intelligence pattern-finding methods with mathematical proof techniques to...
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded a $500,000 Project Grant to The Leland Stanford Junior University, effective August 1, 2025 through July 31, 2028, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This research project develops a formal framework for quantifying the value of information in algorithmic mechanism design, with particular focus on how access to information...
The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded The Leland Stanford Junior University a $222,796 Project Grant (CFDA 47.070: Computer and Information Science and Engineering) effective January 1, 2026, with completion targeted for February 28, 2027. The award funds research and development of an automated synthesis platform for electromagnetic (EM) devices that will streamline the design of antennas, microwave devices, and nanophotonic components used in next-generation technologies including 5G cellular systems and advanced computing applications. The platform will function analogously to digital logic synthesis tools, enabling computer-aided design automation for EM devices across the electromagnetic spectrum—a capability that currently requires manual, time-intensive engineering design. The primary deliverable is the development of a generalized synthesis platform that reduces design time for human engineers while identifying novel, non-intuitive device structures that manual design processes cannot explore given the vast degrees of freedom in EM device optimization. This research addresses a critical gap in hardware design automation, wherein circuit components and EM blocks are currently designed separately by different teams. By automating EM device synthesis, the project aims to unlock performance gains and efficiency improvements essential for emerging 5G and next-generation computing standards. The award is complemented by an educational component, though specific details regarding educational deliverables are not fully provided in the available documentation.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $222.8k | 7/1/26 |