This National Science Foundation Project Grant award of $303,891 supports research at Arizona State University to advance machine learning for human-in-the-loop cyber-physical systems. Under the Computer and Information Science and Engineering program, the award funds development of mixed-initiative solutions to enable accurate learning of human behaviors in uncontrolled environments through mobile and wearable devices. Key objectives include investigating combinatorial approaches to maximize...
The National Science Foundation (NSF) awarded Arizona State University a 5-year, $196,726 CAREER Program grant under the Computer and Information Science and Engineering (CISE) grant program (CFDA 47.070) to support a research and education program focused on accelerating scientific discovery through physics-informed deep learning models. The project aims to develop physically-consistent dynamics models, deep learning-based symbolic regression algorithms, and multimodal deep learning...
Arizona State University received a $300,000 project grant award from the National Science Foundation on May 1, 2021 to develop artificial intelligence tools and resources for cybersecurity education. The funding supports the EAGER: SATC-EDU project to create a machine learning-enabled security knowledge graph for integrating AI into cybersecurity curriculum from April 30, 2023. The grant falls under the National Science Foundation's STEM Education program (CFDA 47.076), which aims to strengthen...
Arizona State University was awarded a $500,000 Project Grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems. The award is part of NSF's Engineering program (CFDA 47.041) to support CAREER: FAITHFUL, REDUCIBLE, AND INVERTIBLE LEARNING IN DISTRIBUTION SYSTEM FOR POWER FLOW. Under this five-year project grant awarded February 1, 2021 with a completion date of January 31, 2026, Arizona State University will conduct research at its Tempe, Arizona campus...
Arizona State University was awarded a $500,000 project grant from the National Science Foundation Division of Computer and Network Systems. The grant falls under the Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. The three-year project award beginning October 1, 2021 will support ASU's "SATC: CORE: SMALL: DECENTRALIZED ATTRIBUTION...
The National Science Foundation awarded a $800,000 Project Grant to the University of Texas at Austin under the Computer and Information Science and Engineering program (CFDA 47.070). The three-year award will support the development of a neurosymbolic program-synthesis framework that closely couples deep learning and classical symbolic methods for program synthesis. Researchers will explore new learning algorithms exposing neural models of code to explicit knowledge about program semantics....
Arizona State University received a $569,413 National Science Foundation Project Grant under the Engineering program (CFDA 47.041) for the period of June 1, 2021 through May 31, 2026. The grant funds the "CAREER: WHEN REALITY FAILS EXPECTATIONS: CONTAINING REFLECTIVE DOMAIN MODELS FOR HUMAN-AWARE PLANNING AND LEARNING OF ROBOTIC TEAMMATES" project. This project aims to develop domain models and learning techniques to help robots better understand human expectations and adapt their...
This Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), supports research to characterize the vulnerabilities of learning-based controllers in networked cyber-physical systems (CPS). The $149,985 award will enable the University of Alabama in Huntsville (UAH) to develop real-time reward manipulation schemes, multi-level attack strategies, and data-enabled detection methods to...
This $750,000 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program to Arizona State University focuses on developing foundational technologies for safe Reinforcement Learning (RL)-enabled systems. The 4-year project aims to establish theories, algorithms, and experiments for distributional RL to enable policy safety, exploration safety, and environmental safety in RL-powered applications like 6G networking,...
This $300,027 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to develop secure and trustworthy learning-based control systems for cyber-physical systems (CPS). The project aims to: a) Develop a real-time reward manipulation scheme for learning-based controllers b) Design multi-level attack schemes on reward signals in a distributed CPS control architecture c) Develop data-enabled strategies for...