Cooperative Agreement NNM16AA13A

This $377,694 Project Grant awarded by the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of innovative lightweight simulation techniques to enable faster design and optimization of next-generation, large-scale computing systems. The University of Rochester is leading this collaborative research project, which introduces behavior modeling, sampled simulations, and data-driven simulation approaches to...

This five-year, $323,314 National Science Foundation project grant supports research at The Ohio State University to develop modeling techniques for analyzing and designing collaborative behavior in human-robot teams. The grant falls under the NSF's Computer and Information Science and Engineering program, which aims to advance computing and informatics research. Specifically, the researchers will formalize representations for joint human-robot activity using graph theory and agent-based...

This three-year Project Grant from the National Science Foundation's Computer and Information Science and Engineering program, totaling $998,000, will fund research at Augusta University Research Institute to develop a holistic data-driven design framework for modeling and controlling human-cyber-physical systems. Specific products and services include a new hybrid learning architecture to accurately model human behaviors and decision-making; extended reality-assisted interfaces to enhance...

This Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of an integrated hardware-software architecture to enhance the safety and reliability of autonomous driving systems and other autonomous machines. The $229,303 award to Wayne State University aims to achieve three core objectives: Developing an accelerator-enhanced system-on-a-chip (SoC) that enables real-time...

This National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) Project Grant award of $274,880 aims to develop a digital engineering tool for integrated software and hardware reliability analysis. The key products to be delivered under this 1-year project include: A pioneering system-level reliability model that merges software and hardware reliability, enabling data-driven reliability analysis through automated, collaborative, cloud-based, and...

This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant of $275,000 awarded to Central Casting AI Inc. aims to develop machine learning-powered virtual characters (ML Actors) to facilitate social connections and team building for remote teams and communities in the metaverse. The project seeks to address the challenge of enabling ML Actors to navigate unpredictable user-generated virtual environments by training them on large datasets of...

This Project Grant award from the National Science Foundation Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $174,985 to develop a methodology and software framework for model-based repair of cyber-physical systems to improve resiliency. The University of Dayton Research Institute will utilize formal analysis techniques and develop two main software tools - a model transformation tool...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $598,555 to the College of William & Mary to develop innovative tools and techniques for computer architecture performance analysis. The project, titled "CAREER: Towards Next-Generation Human-in-the-Loop and Human-Over-the-Loop Computer Architecture Performance Analysis Infrastructure," aims to enhance computer architects' ability to identify...

This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund $250,000 to develop automated analyses that improve the security of open-source operating system kernels. The Regents of the University of California at Riverside will receive the award to conduct research from July 1, 2022 to June 30, 2025. A large number of downstream operating system kernels are derived from upstream kernels like Linux to reduce development costs....

This $500,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will support research at The Ohio State University to develop situational awareness strategies for autonomous cyber-physical systems operating in dynamic, uncertain environments. The objectives of the six-month project beginning October 1, 2022 are to analyze environmental observability for multiple autonomous agents, develop on-the-fly adaptation strategies to refine...