This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $350,000 to North Carolina State University (NC State) will develop an efficient human-in-the-loop learning framework for human-centric cyber-physical systems (CPS). The project aims to create a learning approach that incorporates a human subject to monitor the learning agent and intervene when unsafe behavior occurs, demonstrating the correct actions....
The National Science Foundation (NSF) awarded a $188,410 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of California, Berkeley. This 18-month grant, which began on January 1, 2024, supports the development of risk-aware interactive control and planning algorithms to achieve safe cyber-physical-human (CPS-H) systems.
The key objectives of this research project are: (i) creating computationally-tractable risk-aware trajectory planning...
The National Science Foundation (NSF) awarded a $213,679 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to the University of California, Berkeley. This grant, titled "CAREER: HIGH-ASSURANCE DESIGN OF LEARNING-ENABLED CYBER-PHYSICAL SYSTEMS WITH DEEP CONTRACTS", aims to develop a novel methodology for the design and verification of learning-enabled cyber-physical systems (CPS). The project will pursue a compositional...
This three-year Project Grant from the National Science Foundation's Division of Computer and Network Systems and Computer and Information Science and Engineering program (CFDA 47.070) provides $500,000 to Stanford University to develop risk-aware planning and control strategies for safe human-cyber physical system interactions. The award will advance the state-of-the-art in cyber-physical-human system planning and control through computationally tractable risk-aware trajectory planning...
This $395,927 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop theoretical and algorithmic foundations for building a safe, long-term human-AI ecosystem. The project will:
Develop an analytical framework to characterize human-AI interactions and embed safety components for both the AI learner and human agents.
Examine feedback effects between agents and the ML system, and develop...
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...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program award of $114,727 to the University of California Irvine (UC Irvine) supports research to develop psychology-aware decision-making algorithms for cyber-physical systems (CPS) that integrate social-psychological dynamics. The goal is to enable harmonious interactions, foster equity, and optimize overall system performance in CPS applications involving multiple humans, such as...
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'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 $200,000 Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports a planning project to develop a multi-university consortium that will advance the state of the art in cyber-physical systems (CPS) research. The project takes a multidisciplinary approach to addressing fundamental challenges in learning, estimation, and control of complex CPS, with the goal of creating new monitoring and...