This Project Grant award, with a total funding of $150,000.00, was provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The project, a collaboration between Oakland University and Worcester Polytechnic Institute, aims to increase awareness and promote broader adoption of the National AI Research Resource (NAIRR) pilot. Over two years, the project will organize two 12-workshop series to provide hands-on...
This Project Grant award, with a total funding of $149,951, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The project, a collaboration between Oakland University and Worcester Polytechnic Institute, aims to increase awareness and promote broader adoption of the National AI Research Resource (NAIRR) pilot. The award will fund a 2-year series of 24 hands-on workshops to train emerging...
This $100,000 Project Grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation, under the Engineering program (CFDA 47.041), will support a workshop titled "Towards Carbon-Neutral Electricity and Mobility: The Infrastructure Challenges and Opportunities" to be held in Houston, Texas from February 28 to March 1, 2023. The workshop aims to bring together experts from power, energy, transportation, and artificial intelligence to identify the...
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 $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 $599,943 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) aims to develop techniques for more efficient and resilient real-time communications in critical cyber-physical systems like aircraft, automobiles, and industrial control networks. The key innovations include creating holistic models, algorithms, and software designs to achieve the scalability, adaptability, and resiliency...
This $1,500,000 Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) will establish the "Resilient-Net" network to advance research on urban resilience. The key objectives are to: (i) build strategic links among U.S. and international research networks to synergize expertise and resources on urban resilience, and (ii) prepare U.S. students and early-career researchers to solve future urban resilience challenges. The...
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...
The National Science Foundation (NSF) awarded a $100,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Washington to support a "Meta-Workshop on AI to Accelerate Scientific and Engineering Discovery (AI2ASED)". The goal of the workshop is to bring together leading experts in AI, machine learning, and data science from across various scientific and engineering disciplines to discuss how these data-driven approaches can be...
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...