Project Grant 2533576
- The National Science Foundation (NSF) Division of Computer and Network Systems awarded a $170,499 Project Grant under the CFDA 47.070 Computer and Information Science and Engineering program to The Ohio State University. The two-year grant, awarded on August 1, 2023, aims to develop a networked system that enables accurate, efficient, and scalable N-way sensing using a combination of different Internet of Things (IoT) hardware platforms. The project will deliver reusable system designs,...
- The National Science Foundation (NSF) awarded a $213,430 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Ohio State University to develop a novel, miniature, fiber-optic multiparameter sensor capable of simultaneously measuring critical water quality and greenhouse gas parameters in lakes. The goal is to create an easy-to-deploy, cost-effective sensor that can provide high-resolution, year-round data to better understand the carbon...
- This National Science Foundation project grant of $450,000 will fund the development of an engineered electronic nose with single molecule sensitivity and single atom resolution. Awarded on July 1, 2022 to the University of California Irvine under the NSF Engineering program (CFDA 47.041), the three year project aims to attach odorant receptors from biological noses to tiny electrical sensors using nanowire and nanotube networks. This work lays the groundwork for high precision chemical...
- This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) to Kennesaw State University Research And Service Foundation, Inc. (KSU R&SF) provides $199,995.00 to develop AI models that enable an electronic nose (e-nose) to detect food contamination by analyzing volatile organic compounds (VOCs), even in complex, multi-food environments. The key products and services to be delivered under this 2-year award include: 1) Advancing e-nose technology by...
- The National Science Foundation (NSF) awarded a $400,000 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to the University of South Florida (USF) to develop a hybrid and modular electronic nose (e-nose) system for non-invasive medical diagnostic applications. The project aims to converge research on gas sensing and artificial intelligence/machine learning technologies to create an advanced tool for detecting volatile organic compounds as health status...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports the design, fabrication, and testing of an "electronic nose" system for classifying complex gas mixtures. The $251,110 award to Oregon State University (OSU) aims to develop a gas sensor array using tunable, nanoporous metal-organic polyhedra (MOPs) as the sensing elements. The sensor array will be paired with a supervised machine learning algorithm to analyze the response...
- This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $323,890 to Indiana University to design, fabricate, and test an electronic nose device for discriminating complex gas mixtures. The project aims to develop a sensor array using computationally-designed metal-organic polyhedra (MOPs) as the sensing elements, paired with a supervised machine learning model to interpret the sensor response patterns. Key objectives include testing the sensor...
- The National Science Foundation (NSF) awarded a three-year, $449,999 Project Grant under their Engineering program (CFDA 47.041) to the University of Cincinnati to develop an implantable biosensor platform that can continuously monitor various biomarkers in the body for over a year. The project aims to create a new class of long-lasting aptamer-based sensors protected by robust porous oxide coatings, which would enable the first practical implantable monitoring system for managing chronic...
- This federal Project Grant award was provided by the National Science Foundation (NSF) under the Biological Sciences (CFDA 47.074) program. The $773,887 award to the Board of Regents of the University of Nebraska aims to identify the specific roles that the micronutrient zinc plays in the sensation of taste and taste cell regeneration. The 5-year project will utilize gene expression studies, cell physiology analysis, and behavioral testing in mice to determine how zinc transporters and other...
- This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $449,999 to Trustees of Boston University to develop a novel class of wireless, free-floating biosensors that integrate electronic and biological sensing elements. The goal is to provide real-time, in situ monitoring of microbial dynamics within industrial fermentation environments. The biosensors combine engineered microbes that emit light in response to stress with embedded electronics to...
The National Science Foundation's Engineering (CFDA 47.041) program awarded a $408,653 project grant to The Ohio State University to develop an IoT-enabled gustatory interface for remote chemical interaction. The key objectives of this 3-year project are to: (1) uncover design principles for a flexible gustatory interface to simulate taste, (2) build and characterize a multiplexed electrochemical sensor chip to capture and remotely control tastant information, and (3) examine and validate the performance of an IoT framework for sensor-actuator coupling and evaluate user perception. The project aims to explore the use of taste-based human-machine interfaces in medical care contexts, where remotely transmitting taste information could provide insights into patients' taste profiles and identify potential distortions related to diseases or treatments. The integrated education plan will also focus on fostering systems thinking skills through K-12 outreach and an undergraduate curriculum bridging science, society, economics, and ethics.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $408.7k | 7/31/25 |