Project Grant 2305882
Award Date
8/1/23
Completion Date
7/31/26
Dollars Obligated
$694K
Federal Agency
Division of Computer and Network Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Hoboken, NJ 07030, USA
Similar Awards
The National Science Foundation (NSF) Division of Computer and Network Systems awarded a $505,999 Project Grant titled "COLLABORATIVE RESEARCH: CPS: MEDIUM: MUTUALISTIC CYBER-PHYSICAL INTERACTION FOR SELF-ADAPTIVE MULTI-DAMAGE MONITORING OF CIVIL INFRASTRUCTURE" to the University of Illinois, a U.S. state government, 1862 land grant college, and educational institution. The project aims to develop a Cyber-Physical System (CPS) that enables "mutualistic interaction" between...
The National Science Foundation (NSF) awarded a $190,402 Project Grant under the Engineering program (CFDA 47.041) to The Trustees of the Stevens Institute of Technology in Hoboken, New Jersey. This collaborative research project develops a novel adaptive data collection framework to enable reliable data collection under severe time and resource constraints for automated post-disaster rapid damage assessment. The system leverages a Bayesian probabilistic modeling approach to dynamically...
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...
This $362,957 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) is funding a collaborative research project to develop an AI-enhanced mobile learning system that integrates unstructured observations with formal engineering education for civil and construction engineering students. The goal is to create a transformative learning platform that uses artificial intelligence to direct students' attention to construction components they encounter in...
This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award in the amount of $454,236 to the University of Massachusetts Lowell will advance the field of resilience analytics and enhance the ability of civil infrastructure systems to withstand natural disasters. The key research objectives include: (i) Adapting statistical physics and discrete modeling techniques to predict the type, extent, and functional integrity of damage to structural and non-structural building...
This $130,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support planning activities for a proposed national testbed facility focused on fiber-based ground motion and deformation sensing. The key objectives are to: Develop the technical framework and feasibility plan for an "Internet Sensor Network" (Internet-S) testbed that would leverage modifications to existing internet...
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,...
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...
The National Science Foundation (NSF) provided a $400,000 Project Grant from its Engineering program (CFDA 47.041) to Tufts University for a 3-year collaborative research effort to develop new techniques for modeling complex cyber-physical systems. The project aims to combine data-driven machine learning approaches with physics-based modeling to create abstract yet quantitative models that can improve human interaction with engineered systems, including critical infrastructure like energy...
This $493,514 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop rigorous, scientific mechanisms that enable resilience in large-scale cyber-physical systems (CPS) against various types of perturbations. The project, titled "COLLABORATIVE RESEARCH: CPS: FRONTIER: CHORUS: RESILIENT DISTRIBUTED CPS THROUGH RATIONAL AND DYNAMIC DECISION-MAKING AMONG MULTIPLE...