Project Grant 2434385
Award Date
9/1/24
Completion Date
8/31/27
Dollars Obligated
$270K
Federal Agency
Division of Civil, Mechanical, and Manufacturing Innovation
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
New Brunswick, NJ 08901, USA
Similar Awards
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...
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...
The National Science Foundation's (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $223,843 Project Grant to Rutgers, The State University located in New Brunswick, New Jersey. The award, which runs from January 1, 2024 to December 31, 2026, is under the NSF Engineering program (CFDA 47.041) to develop data-driven methodologies for integrative monitoring and operation of multistage manufacturing systems. The key products and services to be delivered include:...
The National Science Foundation (NSF) awarded a $407,568 Project Grant under the Engineering program (CFDA 47.041) to Rutgers, The State University in New Brunswick, NJ. This grant will support the development of a "NextG-Enabled Manufacturing" (NEXTGEM) research framework, an open-access NEXTGEM cyberinfrastructure, and use-inspired testbeds. The goal is to leverage 5G and future 6G wireless communication technologies to empower latency-critical manufacturing by enabling real-time...
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, totaling $269,542, was provided by the National Science Foundation's Engineering program (CFDA 47.041) to Rutgers, The State University. The award supports the development of a combined numerical-experimental approach to understand and model the synthesis of large populations of advanced nanomaterials. The project aims to create a data science-based framework to enable learning, predicting, and simulating hard-to-model nanoscale fabrication processes, which are critical...
This $1.02 million National Science Foundation Project Grant, funded under the Engineering program (CFDA 47.041), supports the development of computation-informed deep learning approaches to enable real-time prognosis of melt pool dynamics for additive manufacturing. Over the three-year period from July 2022 to June 2025, the awardee, Rutgers University, will create an integrated model using computational fluid dynamics simulations and deep learning to predict melt pool overheating during...
The National Science Foundation awarded a $342,587 Project Grant to Rutgers, The State University under the Engineering federal grant program (CFDA 47.041). The three-year grant will support collaborative research titled "COLLABORATIVE RESEARCH: SPECIFIC ENERGY-BASED PROGNOSIS FOR MACHINING SURFACE INTEGRITY THROUGH INTEGRATION OF PROCESS PHYSICS AND MACHINE LEARNING." The research aims to develop an energy-based predictive model for machining surface integrity by integrating process...
This $427,891 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant award will support the development of a novel architecture called RESONET (Resilient and Secure Operation of Networked Real-Time Systems). The project aims to establish foundational principles that enable multiple real-time systems, such as autonomous vehicles and industrial automation, to carry out coordinated operations securely and with timeliness guarantees, even in...
This three-year, $309,811 project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at The Trustees of the Stevens Institute of Technology to develop techniques for improving the resilience of vision-guided unmanned aerial vehicles and other mobile robotic technologies against cyberattacks. The research aims to advance a framework for detecting and responding to stealthy attacks that simultaneously target mission planning, control, perception,...