Project Grant 2439013
- 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 $100,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support the planning and development of a proposal to study the risks and benefits of generative AI-based systems for security and privacy. The University of Kansas Center for Research Inc., a non-profit subsidiary of the University of Kansas, will lead this planning effort. The goal is to create a fully realized proposal that addresses...
- This $1,200,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program is funding research by the University of Southern California (USC) to advance the safe and reliable deployment of AI-driven autonomous systems. The key products and services to be delivered include: Developing algorithmic frameworks that provide rigorous risk quantification and control for cyber-physical systems (CPS) making decisions based on...
- This $200,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) is for a 2-year planning project to develop a multi-university consortium focused on advancing the state of the art in applied cyber-physical systems (CPS) research. The key activities under this award include: Developing new monitoring and control paradigms for learning, estimation, and control of complex system-of-systems...
- This $374,558 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will support research to develop a methodology for computing safety confidence in cyber-physical systems (CPS) powered by artificial intelligence (AI) that experience anomalous behavior. The University of Florida (UF) will lead this 3-year effort to create modular anomaly scoring approaches for CPS perception, dynamics, and control components, and...
- The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $299,905 Project Grant to Loyola University of Chicago to develop and evaluate a comprehensive 12-workshop experiential training program to raise awareness among AI practitioners of the cybersecurity and privacy risks associated with building AI-based systems. The project aims to provide knowledge and skills needed to build AI systems that are secure, ethical, and privacy-preserving. The workshop...
- This Project Grant award of $175,000 was provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to The University of Tulsa. The award, which runs from July 1, 2025 to June 30, 2027, supports research to develop a new framework that combines guaranteed privacy and robust control strategies for dynamic, networked cyber-physical systems (CPS) environments. The goal is to enable distributed CPS agents, such as...
- 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...
- This Project Grant award, valued at $180,000.00 and provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research to evaluate the security landscape of machine learning (ML) and artificial intelligence (AI) technologies in electronic design automation (EDA) tools for the chip design industry. The key research aims include: (1) comprehensively examining the impact of input and training data perturbations and...
- This $1,722,089 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop rigorous, scientific mechanisms to enable resilience in large-scale cyber-physical systems (CPS) against various perturbations. The award to Purdue University, effective June 15, 2024 through May 31, 2029, will focus on modeling and understanding the impacts of unintended errors, security attacks, unexpected interactions, and...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $199,973 to support planning activities for a large-scale proposal to increase the security and privacy of artificial intelligence (AI)-enabled cyber-physical systems (CPS). The planning project, led by an interdisciplinary team, aims to develop foundational knowledge and tools to understand and defend against the unique risks of AI-enabled CPS, which directly sense and interact with the environment. Activities include a series of seminars, newsletters, and symposia to support frequent communication and coordination on the proposal development and the necessary team execution. The project will also involve collaborating with experts across various CPS domains, such as space science, healthcare, transportation, and water resource management, to better understand the challenges and provide resources for expertise and deployment. In addition, the University of Arizona received a $199,973 sub-award to participate in the planning activities for this project.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 8/28/24 |
GrantNumber | Description | Subgrantee | Prime Award | Dollars Obligated | Updated At |
|---|---|---|---|---|---|
MA2161S | University Of Arizona | Project Grant 2439013 | $69.0k | 1/21/25 |