Project Grant 2542186
- Federal Project Grant Award Summary Carnegie Mellon University received a $348,956 project grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) effective June 15, 2025, with completion targeted for May 31, 2030. This CAREER award supports foundational research to develop perception systems capable of understanding actionable 3D environments from 2D visual input. The project will produce computational approaches and...
- Federal Grant Award Summary Carnegie Mellon University received a $331,723 Project Grant award from the National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070) effective June 1, 2026, through May 31, 2031. This CAREER award funds research into new mathematical and computational approaches for solving large-scale optimization and data analysis problems. The research focuses on two primary technical areas: developing advanced interior point method frameworks...
- Federal Grant Award Summary Carnegie Mellon University received a $500,000 Project Grant from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), awarded July 1, 2025, with completion targeted for June 30, 2030. This CAREER award supports fundamental research on safety, human alignment, and interaction-awareness in autonomous control systems operating across multiple domains including transportation,...
- Federal Grant Award Summary Carnegie Mellon University received a $383,675 Project Grant award on June 15, 2025, from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award supports a five-year research initiative (completion date: May 31, 2030) titled "CAREER: Worker-Centered Design: Building Worker Voice into the Present and Future of Work." The project...
- Federal Grant Award Summary Carnegie Mellon University received a $651,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective October 1, 2025, through September 30, 2028. This collaborative research initiative focuses on developing advanced haptic graphical user interfaces (GUIs) by leveraging the dynamic properties of soft materials to integrate...
- Federal Project Grant Summary Carnegie Mellon University received a $349,005 CAREER (Faculty Early Career Development) Project Grant from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective September 1, 2026 through August 31, 2031. This award supports research to improve how artificial intelligence (AI) agents operating in complex environments—such as code editors...
- Federal Grant Award Summary Carnegie Mellon University received a $367,934 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) effective June 1, 2026, through May 31, 2031. This CAREER award supports research on system-technology co-optimization (STCO) for three-dimensional (3D) integrated circuits designed to enhance semiconductor performance and energy efficiency for advanced computing applications. The research will...
- Federal Grant Award Summary Carnegie Mellon University received a $499,934 Project Grant from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded July 1, 2025, with completion targeted for December 31, 2026. The award funds development of ACED (Accelerated Graph Neural Networks for Decision-Making), a Field-Programmable Gate Array (FPGA)-accelerated Graph Neural Network (GNN) system designed to enable real-time data filtering...
- Federal Grant Award Summary Carnegie Mellon University received a $600,000 project grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective August 1, 2025 through July 31, 2028. This NSF-BSF collaborative award supports the development of computational visual vibrometry technologies that enable scene understanding through the detection and analysis of...
- Federal Project Grant Award Summary Carnegie Mellon University received a $395,936 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective May 1, 2026 through April 30, 2031. This CAREER award supports the development of an automated machine learning (ML) compilation toolchain designed to accelerate and optimize the deployment of artificial...
Carnegie Mellon University received a $467,325 Project Grant award from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on June 15, 2026. The five-year CAREER award, titled "Adaptive XR Interfaces," supports research and development of extended reality (XR) technologies and human-centered interface design methodologies. The project delivers scientific and technical foundations for adaptive XR user interfaces that dynamically adjust content presentation based on contextual factors including physical environment, user activity, and cognitive demands. Key deliverables include design frameworks characterizing optimal application domains for adaptive interfaces, algorithms and software libraries enabling XR systems to modify interface placement and behavior, and human-centered evaluation protocols for assessing interface effectiveness across diverse real-world scenarios. The research addresses critical usability challenges in XR adoption by investigating how intelligent interface adaptation enhances attention, safety, and productivity in applications spanning productivity tools, training programs, educational systems, and maintenance operations. Through systematic analysis of existing XR applications, expert workshops, prototype studies, and empirical evaluations, the project will synthesize actionable design knowledge that enables XR systems to automatically adjust to changing user contexts. This work supports the NSF CISE program's broader mission to advance investigator-initiated research in computing and information science engineering while developing practical technological solutions with significant commercial and societal impact potential.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $467.3k | 5/25/26 |