Project Grant 1546734

This National Science Foundation (NSF) Cooperative Agreement award, funded under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), provides $1,000,000.00 to Wilo Networks Inc. to develop a cutting-edge sensor network platform designed to operate with exceptionally low power consumption. The core innovation involves integrating low-power wake-up radio technology with optimized network protocols, enabling always-on, low-latency communication without the traditional...

The U.S. Geological Survey awarded a $499,999 Cooperative Agreement under the Assistance to State Water Resources Research Institutes program (CFDA 15.805) to Cornell University to develop a distributed sensor network that integrates edge-AI and photogrammetric techniques to automate real-time urban flood monitoring and mapping. Key deliverables include: A minimum viable product (MVP) sensor network to map urban pluvial flood extents and depths in real-time, including storm sewer stage...

This National Science Foundation (NSF) project grant award under the STEM Education (CFDA 47.076) program aims to automate the quantification of student engagement in introductory engineering STEM courses. The $600,000 project, awarded on October 15, 2024, will develop a portable and scalable biometric sensor network (BSN) to capture and interpret levels of behavioral, emotional, and cognitive engagement. The BSN will incorporate cognitive probes aligned with the ICAP framework to enable...

This $255,996 National Science Foundation Technology, Innovation, and Partnerships award to Wave Logix, Inc. supports development of an Internet of Things sensing platform to monitor civil infrastructure concrete strength. The awardee will prototype a piezoelectric concrete strength sensor integrated with customized data logging, processing, and transmission capabilities. A secure cloud-based database is also envisioned to provide contractors real-time in-place concrete strength data through...

This $130,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support planning activities for a proposed national testbed facility focused on fiber-based ground motion and deformation sensing. The key objectives are to: Develop the technical framework and feasibility plan for an "Internet Sensor Network" (Internet-S) testbed that would leverage modifications to existing internet...

The National Science Foundation awarded a $100,000 Project Grant under the NSF Technology, Innovation, and Partnerships program to Georgia Tech Research Corporation to support the development of novel remote sensing technology through the I-CORPS program from July 1, 2022 to December 31, 2022. Specifically, the grant funding will allow the awardee to advance the development of a scanless radar technology that has the potential to provide high-resolution imaging over a wide field of view...

The National Science Foundation awarded $274,147 under the Technology, Innovation, and Partnerships program to develop biodegradable electronic sensors through its Small Business Technology Transfer Phase I grant. The awardee, Transparent Path SPC, will formulate carbon-based inks for aerosol jet printing onto biodegradable substrates to produce temperature and humidity sensors. The goals are to co-print graphene, carbon nanotubes, and cellulose inks; develop printing processes; and...

This Project Grant award from the National Science Foundation's (NSF) Division of Electrical, Communications and Cyber Systems (CFDA 47.041 - Engineering) provides $499,989 to Purdue University to develop a framework for integrated sensing and communications (ISAC) technology. The key objectives are to: Identify and quantify the fundamental tradeoffs between communications and sensing capabilities. Adopt an information-theoretic broadcast channel framework to enable efficient ISAC designs and...

This National Science Foundation (NSF) Project Grant award under CFDA 47.041 "Engineering" program provides $450,000 in funding to The Trustees of Princeton University to develop a novel "Multi-Attribute Urban Sensing Technology (MUST)" platform. The key products and services to be delivered include: A prototype vehicle-mounted multi-sensor system integrating 360-degree cameras, high-resolution LiDAR, GPS, and innovative environmental/air pollution sensors to collect granular...

This National Science Foundation (NSF) Research on Innovative Technologies for Enhanced Learning (RITEL) program award of $203,901, granted to Mississippi State University on September 15, 2024, aims to design, develop, and test an AI-enhanced mobile learning system to help civil and construction engineering students learn from unstructured observations encountered in their everyday lives. The envisioned AI-powered platform will direct students' attention to construction components, explain...