Cooperative Agreement DEEE0009670

Rstream Recycling LLC received a $275,000 Project Grant award from the National Science Foundation under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop an autonomous waste sorting platform. The platform aims to improve landfill diversion and recycling rates for non-industrial waste streams at high-traffic venues like stadiums, universities, airports, and theme parks. Currently, waste sorting at these facilities is done manually or through expensive robotic...

The National Science Foundation awarded Optisort LLC a $255,644 Project Grant under the Engineering federal grant program (CFDA 47.041) to develop a robotic vertical glass sorter powered by machine vision and artificial intelligence for glass recycling. The sorter will utilize computer vision and AI technologies to accurately identify and separate glass materials during the recycling process, enabling more accessible, sustainable, and cost-effective glass recycling. The one-year grant period...

The National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded a $420,000 Project Grant to Montclair State University, a Hispanic-Serving Institution, to investigate the use of artificial root exudates (AREs) to restore contaminated and barren soils. The overarching goal of the 3-year project is to quantify the impacts of AREs on microbial respiration, enzyme activity, and plant productivity in post-industrial soils. Specific objectives...

The National Science Foundation (NSF) Integrative Activities (IA) program awarded a $140,000 Project Grant to the University of Alabama, Tuscaloosa to develop a new approach for the detection of per- and polyfluoroalkyl substances (PFAS) in water. The research team, led by Professors Shane Street and Marco Bonizzoni, will create pattern-based chemosensors from metal nanoparticles to qualitatively detect anionic contaminants. The project combines chemical synthesis, electron microscopy,...

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 Cooperative Agreement award of $995,163 from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of an autonomous waste sorting platform for decentralized pre-processing at high-traffic venues. The project aims to create a compact, high-throughput, and turnkey sorting system that leverages computer vision and machine learning to accurately identify and sort diverse waste streams, enabling improved landfill...

This $205,280 project grant from the National Science Foundation's Mathematical and Physical Sciences Directorate will fund the development of artificial intelligence techniques for automatic nuclear magnetic resonance metabolomics data processing at North Carolina Agricultural & Technical State University from November 2022 to October 2023. Professor Bo Wang and his students will create tools to simplify analysis of environmental and health study chemical data obtained via NMR for...

The National Science Foundation awarded a $100,000 Project Grant to the University of California, Merced under the NSF Technology, Innovation, and Partnerships federal grant program (CFDA 47.084) to develop artificial intelligence models for financial fraud detection. Specifically, the university will use tree-based machine learning techniques to create fraud detection software with predictive accuracy exceeding industry standards. The software aims to save banks millions annually by reducing...

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 $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...