Project Grant 2528982
- The National Science Foundation awarded New York University $600,000 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to develop a data-driven cybersecurity research infrastructure for smart manufacturing. The three-year project grant, awarded on April 15, 2023, will fund the creation of a community research platform integrating a web infrastructure, data infrastructure, and smart manufacturing machine infrastructure. These integrated elements will...
- This $230,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at the University of Connecticut focused on creating a novel computational paradigm called "SMART-RECOVER" to establish resilience against stealthy cyberphysical attacks on digital manufacturing systems. The key research objectives include: (1) pre-fabrication reconstruction of digital geometric models altered by attacks, (2) in-process remodification of...
- The National Science Foundation Division of Engineering Education and Centers awarded a $354,641 project grant to the Georgia TECH Research Corporation for its EAGER: EXPLORATION OF DATA-DRIVEN METHODS FOR CYBER MANUFACTURING project. The award period runs from March 1, 2021 through February 28, 2023. Under the NSF's Engineering (CFDA 47.041) program, which seeks to improve quality of life and economic strength through engineering research and education, the grantee will explore data-driven...
- This $240,000 Project Grant award from the National Science Foundation's (NSF) Division of Civil, Mechanical, and Manufacturing Innovation supports research to develop a computational paradigm called "SMART-RECOVER" that will ensure part performance in digital manufacturing systems despite cyberphysical attacks. The research objectives include techniques for: (1) pre-fabrication reconstruction of attack-altered geometric models, (2) in-process remodification of process plans to disrupt...
- This $540,362 National Science Foundation (NSF) Engineering Program (CFDA 47.041) project grant, awarded to the University of Wisconsin-Madison, aims to develop novel methodologies that integrate modeling, detection, and control measures for understanding the cyber-physical resilience of continuous critical manufacturing systems. The key research objectives include: 1) developing generalizable tools for cyber-physical resilience quantification, 2) rethinking cyber-physical resilience-driven...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $270,000 to Rutgers, The State University to conduct research that will establish a novel computational paradigm called "SMART-RECOVER" to ensure resilience of digital manufacturing systems against stealthy cyberphysical attacks. The research objectives include developing techniques for: (1) pre-fabrication reconstruction of attack-altered digital geometric models, (2)...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $108,510 to the University of Houston System to develop a comprehensive solution for securing industrial control systems (ICS) against cyber-attacks. The key objectives are to integrate human-on-the-loop explainable machine learning, detection, and recovery control in an operator-automation shared protection framework to ensure the security and safety of critical infrastructure ICS....
- This $398,786 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research at North Carolina State University to develop a privacy-preserving collaborative condition monitoring and decision-making methodology for distributed manufacturing systems. The project aims to enable multiple geographically distributed manufacturing facilities to collectively utilize their data to construct more effective monitoring and decision-making models, while...
- This federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to advance the theory and algorithms for distribution control, enabling precision manufacturing of materials and coordination of autonomous agent populations. The $297,881 award to Georgia Tech Research Corporation, effective August 1, 2025 through July 31, 2028, will address critical challenges involving nonlinearity in agent dynamics, inter-agent interactions, and...
- This $493,637 federal Project Grant award, funded by the National Science Foundation (NSF) Engineering program (CFDA 47.041), aims to advance simulation-based manufacturing process digital twin (DT) technologies. The key research goals are to: 1) develop a self-organizing DT framework that continuously validates and calibrates the simulator, 2) create optimal control algorithms for contingency scenarios, and 3) leverage parallel computing for rapid optimization. The research will establish...
This National Science Foundation (NSF) Engineering (CFDA 47.041) grant award of $500,000 supports research to develop a scientific methodology for strengthening the cybersecurity and operational resilience of distributed manufacturing enterprises. The research, performed by Georgia Tech Research Corporation, utilizes machine learning and artificial intelligence to create decentralized data analytics models that can detect stealthy cyber threats in digitally interconnected manufacturing operations. The project aims to advance the fundamental understanding of how to mitigate cascading failures and financial losses caused by cyber intrusions that exploit the complex interdependencies across multi-site manufacturing systems. This 3-year project, starting on September 1, 2025, will also include an educational component focused on curriculum development and workforce training in the cybersecurity of operational technology.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.0k | 8/3/25 |