Project Grant 2532643
- This Project Grant award of $160,000 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports collaborative research on developing new analytical and computational methods to establish a theoretical and algorithmic foundation for fusing unregistered spectral images from remote sensing applications. The research aims to enable performance-guaranteed fusion of spatially misaligned hyperspectral and multispectral images, which is a long-standing and practically...
- This $192,164 National Science Foundation project grant, awarded under the Engineering program (CFDA 47.041), will support the development of a highly compact mid-infrared spectrometer based on a single tunable van der Waals heterostructure photodetector. The University of Massachusetts will investigate light-matter interactions in emerging 2D materials and demonstrate tunable photoresponse in van der Waals heterostructures. Researchers will characterize response matrices under bias and...
- This $287,836 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041) will fund the development of a highly compact mid-infrared spectrometer based on a single, tunable van der Waals heterostructure photodetector at Yale University from October 1, 2022 to September 30, 2025. The research aims to advance on-chip mid-infrared spectroscopy through investigating light-matter interactions in emerging...
- This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, titled "ACED: REVOLUTIONIZING INSTRUMENTAL ANALYSIS USING FOUNDATION MODELS," aims to revolutionize spectral analysis through the development of a novel, AI-powered framework. The $500,000 award, with a performance period from July 1, 2025 to June 30, 2027, will enable the University of Massachusetts to create advanced language translation...
- This $200,000 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research to develop advanced analog circuits and systems for dense, in-situ spectrum monitoring. The key products and services to be delivered include: (1) Ultra-efficient, single-shot analog cross-correlators capable of rapidly computing cross-correlations between input signals and template waveforms. This enables low-latency spectrum sensing...
- This $300,000 federal Project Grant award was provided by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) to New York University (NYU). The grant will support the "HS-SPECTRA" project, which aims to develop and extend community involvement in hyperspectral remote sensing technology for analyzing and studying urban landscapes. Key products and services to be delivered include: Developing a metadata architecture tailored to longitudinal urban field campaigns...
- The National Science Foundation (NSF) awarded a $500,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program to the Regents of the University of Michigan. The grant, titled "ACED: A UNIFIED FRAMEWORK OF PHYSICS-INFORMED AND DOMAIN-ADAPTED GENERATIVE DIFFUSION MODEL FOR EFFICIENT AND RELIABLE NANOPHOTONICS INVERSE DESIGN", aims to develop an innovative deep learning framework that combines physics-informed principles with...
- This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) will provide $402,134 from September 1, 2024 to August 31, 2027 to support research and development of a novel class of semiconductor nanostructures called non-Hermitian topological photonic crystals. The key products and services to be delivered include: Designing, fabricating, and characterizing the optical properties and optoelectronic device applications of these photonic crystal slabs,...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Engineering program (CFDA 47.041) to the Regents of the University of Minnesota for the project "Collaborative Research: Multi-Modal Sensing with Robust, Unified, and Scalable Diffractive Optical Neural Networks." This project explores a transformative computing paradigm based on photonic-driven, rather than electronic-based, information processing. The researchers will develop specialized, ultrathin...
- This $600,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to support research that develops a novel approach to metamaterials engineering and manufacturing for emerging optoelectronics. The project at the University of Michigan will utilize a combination of advanced manufacturing tools and focused-ion-beam-assisted molecular-beam epitaxy to pattern and integrate high-purity non-precious metals with high-quality semiconductors. The...
This federal Project Grant award, provided by the National Science Foundation's Engineering program (CFDA 47.041), is funding the development of an ultra-compact, chip-scale spectrometer with high reconstruction accuracy through the integrated co-design of hardware and modern machine learning algorithms. The $644,407 award, effective from October 15, 2025 to September 30, 2028, aims to overcome challenges of limited labeled experimental data and measurement noise for training machine learning models by pursuing two synergistic strategies: (1) training on simulated data calibrated to device-specific characteristics to bridge the simulation-to-real gap via in-context learning, and (2) co-designing the spectrometer and learning framework to jointly optimize hardware and software for accurate, miniaturized spectral analysis. This project, led by the Regents of the University of Michigan, seeks to demonstrate the efficacy of the on-chip spectrometer across a diverse range of scientific applications, such as chemical process analysis, material identification, and fluorescence detection, by pioneering training methodologies that utilize realistic simulations.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $644.4k | 8/18/25 |