This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program provides $250,000 to Texas State University to develop and validate a new type of eco-friendly concrete for manufacturing concrete pipes. The patented concrete leverages recycled steel fibers and recycled asphalt pavement aggregates to reduce costs by up to 40% and carbon dioxide emissions by up to 19% compared to conventional reinforced concrete pipes,...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $362,957 to the Trustees of the Stevens Institute of Technology to develop an AI-enhanced mobile learning system for construction engineering students. The system aims to help students learn from their everyday observations of construction components and operations by directing their attention, providing explanations, and linking observations to formal course materials. Key innovations...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $330,000 to the University of Utah to design, develop, and test an AI-enhanced mobile learning system that helps civil and construction engineering students integrate unstructured observations from their everyday environments with formal engineering education. The proposed system will use AI to direct students' attention to key construction components, explain the observations, and link...
Aren, Inc. received a $276,000 Project Grant award from the National Science Foundation to develop an automated damage detection analysis software platform for civil infrastructure assets. Funded under the NSF's Technology, Innovation, and Partnerships program, the award's goal is to facilitate data-driven decision making for infrastructure investment through increased automation of the asset management process. Specifically, Aren will develop foundational technical capabilities using 3D...
This $999,910 Cooperative Agreement award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports the development of an Internet-of-Things (IoT) concrete sensing system for infrastructure monitoring. The project, led by Wavelogix, Inc., a minority-owned small business, aims to create a market-ready solution that addresses challenges in the construction industry related to using antiquated testing methods. The goal is to enable...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will promote progress in data science to support smart transportation systems. The funding of $317,374 over 3 years, starting on October 1, 2024, will establish a theoretical framework for quantifying the value of data from various sources in a transportation network. The project aims to: 1) quantify how changes in data affect estimates of network performance metrics to identify important data...
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 $100,000 Project Grant awarded by the National Science Foundation's Engineering program (CFDA 47.041) supports a collaborative research and education partnership between the University of Texas Rio Grande Valley (UTRGV), a Hispanic-Serving Institution, and the AI Institute for Advances in Optimization (AI4OPT) at Georgia Tech. The project, titled "PARTNER: ARISE: AI RESEARCH AND INNOVATION FOR SMART ENVIRONMENTS - EMPOWERING MINORITIES IN AUTONOMOUS ROBOTICS AND INFRASTRUCTURE...
This Project Grant award from the National Science Foundation provides $100,000 to William Marsh Rice University to develop a strain-sensing smart skin technology using carbon nanotubes. The technology is intended to enable non-contact, laser-based strain measurement with advantages over existing digital image correlation methods. It has applications in infrastructure maintenance and safety inspections across industries such as aerospace, bridges, pipelines, wind turbines. Successful development...
The University of Texas at Austin was awarded a $287,988 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program. The grant, titled "CAREER: HAYARUPU: Accelerating Natural Hazard Engineering with AI-Driven Discovery Loops", aims to accelerate advancements in engineering and scientific research through the use of artificial intelligence (AI). The project will develop an AI-accelerated scientific discovery framework...