Project Grant 2450743
Award Date
9/1/25
Completion Date
8/31/28
Dollars Obligated
$282K
Federal Agency
Division of Civil, Mechanical, and Manufacturing Innovation
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Gainesville, FL 32611, USA
Similar Awards
The National Science Foundation (NSF) awarded a $350,000 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Case Western Reserve University (CWRU) for the development of affordable and generalizable predictive maintenance (PM) solutions for small and medium manufacturers (SMMs). The key objectives of this 2-year project are to: (1) design a self-powered edge device integrating sensors, energy harvesting, and machine learning algorithms for real-time...
This National Science Foundation (NSF) Project Grant, awarded under the Engineering (CFDA 47.041) program, aims to create an AI-powered framework to help designers evaluate and optimize the environmental impact of their product designs. The $274,959 award to Florida International University will implement several key innovations: (1) Develop novel graph attention network algorithms to extract lifecycle inventory data for sustainability analysis by leveraging similarities with existing product...
This National Science Foundation (NSF) Project Grant award under CFDA 47.041 (Engineering) provides $679,973 to the University of Oklahoma to develop an artificial intelligence-assisted product design and production planning system. The key objectives are to: (i) accelerate product design through structured representation learning; (ii) implement a knowledge-augmented framework to dynamically cluster product families and refine scheduling strategies; and (iii) create a hybrid AI-assisted...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports a collaborative research project led by Clemson University, in partnership with Purdue University, Greenville Technical College, and several industry/professional organizations. The goal is to leverage artificial intelligence (AI) and extended reality (XR) technologies to enhance the cognitive capabilities of aviation maintenance technicians during critical aircraft inspection...
The National Science Foundation (NSF) awarded a $300,000 Early-concept Grant for Exploratory Research (EAGER) under the Engineering program (CFDA 47.041) to The Pennsylvania State University, doing business as Penn State, to conduct research on expanding the use of artificial intelligence (AI) in manufacturing. The project focuses on developing deep clustering and generative modeling techniques to identify geometric similarities between new part designs and existing designs to improve...
This $283,965 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) to Case Western Reserve University aims to develop a novel machine learning framework to transform lab-developed models into manufacturing plant-ready solutions for in-process quality prediction. The key objectives are to: 1) create a generic model to effectively learn similarities in massive unlabeled plant data through self-supervised contrastive learning, 2) build one-to-one mapping...
This $250,000 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports a collaborative research project to enhance the cognitive capabilities of aviation maintenance technicians through the integration of artificial intelligence (AI) and extended reality (XR) technologies. The primary goal is to improve inspection processes and reduce maintenance errors that cause aircraft accidents. The award is funding research and development led by a...
This $275,008 Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to create an AI-powered framework that helps designers automatically evaluate the environmental impact of their designs and optimize them for sustainability. The key innovations include: Developing novel graph attention network (GAT) algorithms to extract lifecycle inventory (LCI) data by analyzing similarities with existing designs, addressing the issue of LCI data scarcity....
This Project Grant award from the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation aims to develop data-driven methodologies for efficient monitoring and operation of multistage manufacturing systems. The $300,442 award to the University of Wisconsin System will establish an integrated mathematical framework to model the spatial interactions between machines and the temporal degradation of each machine in a multistage manufacturing process. The...
This $300,001 Project Grant awarded by the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation under the NSF Directorate for Engineering (CFDA 47.041) supports research at Virginia Polytechnic Institute & State University (Virginia Tech) to define, evaluate, and improve data quality for effective artificial intelligence (AI) deployment in manufacturing. The key products and services to be delivered under this 3-year award include: Developing...