Project Grant 2537321
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded $249,999 to the University of Michigan-Dearborn under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on January 15, 2026, for collaborative research through December 31, 2028. The project will develop a physics-informed probabilistic prognostics platform called Modular Analytics for Prognostics with Small Data (MAPS), designed to enable...
- Federal Grant Award Summary The National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation (Engineering program, CFDA 47.041) awarded $185,000 to the Regents of the University of Michigan (University of Michigan-Dearborn) on September 1, 2025, for a three-year collaborative research project extending through August 31, 2028. The project will develop an intelligent system that leverages textual and image-based engineering knowledge from professional documents to...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a $800,000 Project Grant (CFDA 47.070: Computer and Information Science and Engineering) to the Regents of the University of Michigan, effective September 1, 2026, through August 31, 2030. The project develops a neuro-symbolic reasoning framework for verified hardware-software co-design of specialized computing accelerators. The framework integrates artificial...
- Federal Grant Award Summary The University of Michigan received a $300,000 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), effective August 1, 2025, through July 31, 2029. This collaborative research initiative focuses on enhancing Graph Neural Networks (GNNs) through data-centric improvements rather than model refinement alone. The project delivers three...
- Federal Grant Award Summary The University of Michigan received a $102,399 Project Grant award 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 August 15, 2025, with a completion date of July 31, 2027. This planning grant supports the development of an AI-ready testbed for studying municipal government service delivery at scale. The project will deliver four...
- Federal Project Grant Award Summary The University of Michigan received a $225,000 Project Grant award from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering program (CFDA 47.070), effective August 1, 2025, through July 31, 2028. This collaborative research initiative develops robust-to-early-termination (REAP) optimization techniques and real-time scheduling frameworks designed to improve control quality in...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a five-year CAREER grant totaling $424,806 to the University of Michigan, effective May 1, 2026 through April 30, 2031, under the Computer and Information Science and Engineering program (CFDA 47.070). The project delivers domain-specific programming languages and embedded verification libraries for mathematical proof of correctness and security in parsing systems....
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a $1.0 million Project Grant (CFDA 47.070: Computer and Information Science and Engineering) to the Regents of the University of Michigan, commencing September 1, 2025, and concluding August 31, 2029. This collaborative research initiative develops MemWise, an intelligent tiered memory management system designed to enhance data center efficiency and extend hardware...
- Federal Grant Award Summary The University of Michigan received a $320,000 project grant award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084), with an award date of August 1, 2025, and completion date of July 31, 2026. This Phase 1 POSE (Pathways to Enable Open-Source Ecosystems) grant supports the development and establishment of a sustainable open-source ecosystem around JASECI, a novel artificial intelligence (AI)...
- Federal Grant Award Summary Michigan Technological University received a $178,462 Project Grant from the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070), effective August 1, 2026 through July 31, 2028. This collaborative research initiative develops practical training materials and curricula addressing concurrent and distributed computing in safety-critical cyber-physical systems such as...
The National Science Foundation (NSF), Division of Information and Intelligent Systems, awarded a $600,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of Michigan-Dearborn effective July 1, 2026, through June 30, 2029. This research initiative addresses configuration drift detection in DevOps (Development and Operations) environments—a critical challenge affecting software system reliability across infrastructure-dependent sectors including healthcare, transportation, and technology. The project delivers three integrated research products: (1) large-scale empirical characterization of configuration drift contexts, categories, and impacts through analysis of real-world software repositories; (2) development of a unified representation framework that enables reasoning across heterogeneous configuration artifacts and diverse DevOps tools and domain-specific languages; and (3) automated, artificial intelligence-based detection techniques that identify inconsistencies among configuration files, source code, and execution environments in a scalable, technology-agnostic manner. The award contributes foundational knowledge and practical tools for managing configuration drift at scale, with direct applicability to improving software system reliability and reducing developer maintenance burden. By establishing workflow-agnostic solutions that operate across different DevOps tools, the project advances NSF's broader mission to support investigator-initiated research in computing and information science while delivering tangible benefits to organizations dependent on modern software infrastructure.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 6/30/26 |