Project Grant 2302787
- This $328,423 Project Grant was awarded on July 15, 2025 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of Florida (UF) to develop learning-enabled techniques that allow cyber-physical systems (CPS) to learn from experience and adapt, thereby enhancing their ability to detect and respond to emerging cyber threats. The research aims to identify threats, detect compromised components, and design control...
- This National Science Foundation project grant of $597,585 will fund research into co-designed control and scheduling adaptation for cyber-physical system safety and performance from April 2023 through March 2026. The award is provided through the Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in all areas of computing, communications, and information science and engineering. Specifically, a team led by...
- This Project Grant award, funded by the National Science Foundation's STEM Education program (CFDA 47.076), provides $185,175.00 to the University of Puerto Rico Research and Development Center Division (Chancellor Mayaguez Campus) to expand access to hands-on learning in computer science and engineering. The project aims to integrate embedded computing devices like Raspberry Pis and Sunfounder IoT kits into core undergraduate courses, enabling students to explore computing systems through...
- This Project Grant award of $693,989 from the National Science Foundation's (NSF) Division of Computer and Network Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports research by the Trustees of the Stevens Institute of Technology in Hoboken, New Jersey. The research aims to enable "mutualistic cyber-physical interaction" for self-adaptive monitoring of damage to civil infrastructure. Key components include: 1) deep learning-based damage prognostics to...
- This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $592,000 to Purdue University to support collaborative research on co-designed control and scheduling adaptation for cyber-physical system safety and performance from April 2023 through March 2026. The award aims to develop new models, analyses, infrastructure and metrics to represent and account for interdependencies between control and scheduling in...
- This $149,343 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program supports the development of a new quantitative verification approach for temporal properties of learning-enabled cyber-physical systems (LE-CPS). The key objectives are to: Develop a qualitative and quantitative verification approach for LE-CPS at the system level based on Probstar reachability, providing the precise probability of...
- The National Science Foundation (NSF) has awarded a $850,000 Project Grant under its Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, Los Angeles (UCLA) to develop an efficient human-in-the-loop learning framework for human-centric cyber-physical systems (CPS). The 3-year project aims to create a novel approach to integrate human oversight and intervention into the training of CPS agents, such as assistive driving and exoskeleton systems, to...
- This Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) provides $183,563 to Rensselaer Polytechnic Institute (RPI) to develop and deliver remote experiments utilizing cloud-based resources aimed at educating a broad audience of students and practitioners in hardware security. The key goal is to create an online education platform for remote training in hardware security, addressing the challenges of teaching this subject in a socially-distanced...
- 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, 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 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, provides $530,000 to The Trustees of the Stevens Institute of Technology in Hoboken, NJ to develop a physical computing testbed for collaborative, problem-based learning of cyber-physical systems (CPS) concepts. The research aims to explore and characterize the key threshold concepts required for CPS mastery, integrating student-centered problem-based learning with physical computing interactions. The project will engage CPS experts, analyze student learning via model-eliciting activities, and create a comprehensive CPS concept inventory and classification of threshold concepts. The findings are expected to improve CPS education in academia and enhance CPS design capabilities for industry, strengthening the core functions of U.S. federal agencies in administering CPS ecosystems with broad societal impacts. The award period runs from Sep 1, 2023 to Aug 31, 2026.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 10/16/23 | ||
| Not listed | $530.0k | 5/18/23 |