Project Grant 2543556
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded a CAREER grant of $357,069 to The Johns Hopkins University (dated August 15, 2026, with completion targeted for July 31, 2031) to develop interpretable, large language model (LLM)-based artificial intelligence systems that enable scientific discovery by identifying structural parallels and cross-cutting connections across scientific literature domains. The primary...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) awarded $358,200 to the University of Maryland, College Park for a CAREER project titled "Approximation-First Telemetry for Hyperscale Networked Systems," effective June 1, 2026, through May 31, 2031. This project delivers a comprehensive telemetry architecture designed to monitor large-scale...
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded The Johns Hopkins University a $441,528 CAREER Project Grant (CFDA 47.070: Computer and Information Science and Engineering) effective April 15, 2026 through March 31, 2031. The award funds the development of a novel computational imaging framework that integrates physical forward models with generative diffusion models to enable probabilistic reconstruction of images from...
- Federal Grant Award Summary The Johns Hopkins University received a $188,168 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 July 1, 2026 through July 31, 2027. This collaborative research award supports the development of comprehensive theory, algorithms, and applications for large-scale bilevel optimization—a nested optimization structure...
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded The Johns Hopkins University $525,000 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for a collaborative research project spanning August 15, 2025 through July 31, 2028. This project grant supports fundamental research in min-max optimization theory and algorithm development, addressing critical gaps in mathematical frameworks and...
- Federal Project Grant Award Summary The Division of Information and Intelligent Systems, operating under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) administered by the National Science Foundation, awarded $447,317 to The Johns Hopkins University on October 1, 2025, for a research project with a completion date of July 31, 2027. The award funds research into causal structure discovery algorithms designed to extract cause-effect relations from diverse,...
- Federal Grant Award Summary The Johns Hopkins University received a $109,930 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 July 1, 2025 through June 30, 2028. This collaborative research initiative develops cyberinfrastructure that integrates Artificial Intelligence (AI) with multimodal space weather data to improve forecasting of extreme space weather...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a five-year CAREER grant totaling $346,590 to the University of Wisconsin–Madison, effective July 1, 2026 through June 30, 2031, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This project develops an artificial intelligence (AI)-native approach to edge network management that enables networks to adapt proactively to heterogeneous...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $600,000 CAREER grant (CFDA 47.041, Engineering program) to the University of Miami effective April 15, 2026, with a completion date of March 31, 2031. This project grant supports the development of an AI-native semantic communication (SC) framework that fundamentally transforms wireless communication systems by shifting from traditional...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Computer and Network Systems awarded the University of Maryland, College Park a Project Grant of $331,428 (CFDA 47.070 – Computer and Information Science and Engineering) commencing October 1, 2025, with a completion date of September 30, 2030. This CAREER award supports research focused on secure code generation with large language models (Code LLMs), addressing critical security vulnerabilities in AI-driven...
The Johns Hopkins University received a $389,092 CAREER Project Grant from the National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) beginning July 1, 2026 through June 30, 2031. This award supports research and development of scalable, observable multicast communication systems designed to enhance efficiency in artificial intelligence (AI) datacenter infrastructure. The project addresses critical bottlenecks in inter-machine communication by implementing multicast technology—enabling single-source transmission to multiple recipients simultaneously—thereby reducing redundant data transmission, energy consumption, and network overhead in large-scale AI computing environments. The research initiative encompasses three integrated technical thrusts: developing a scalable data plane utilizing topology-aware algorithms and memory-efficient network forwarding state compression; creating an introspectable control plane with real-time failure detection and localization through advanced monitoring and machine learning; and integrating findings into university curriculum through hands-on laboratory modules and structured student mentoring. Beyond advancing AI infrastructure reliability and operational efficiency for applications in healthcare and scientific research, the project emphasizes workforce development by embedding research discoveries into educational programming and establishing a mentorship pipeline for students in computing and network systems.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $389.1k | 5/21/26 |