Project Grant 2211510
Award Date 12/1/21
Completion Date 12/31/22
Dollars Obligated $501K
Funding Federal Agency
Awarding Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Ames, IA 50011, USA
Similar Awards
- This $1,049,997 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) project grant, awarded from October 1, 2025 to September 30, 2028, aims to develop a unified framework to integrate different low-power wireless technologies, such as LoRa and Bluetooth, for diverse Internet of Things (IoT) applications. The project consists of three key technical thrusts: 1) Developing a multi-protocol gateway with a wideband radio frontend to efficiently capture and...
- This $445,000 Project Grant was awarded on October 1, 2023 by the National Science Foundation (NSF) Division of Computer and Network Systems under the CFDA Program 47.070 - Computer and Information Science and Engineering. The award supports a collaborative research project led by Michigan State University to develop a new LoRa (Long Range) physical layer design that leverages deep neural networks and edge computing to enhance the performance of low-power, wide-area IoT (Internet of Things)...
- This Project Grant award from the National Science Foundation's Division of Computer and Network Systems (CFDA 47.070 - Computer and Information Science and Engineering) provides $450,000 over four years to The Ohio State University for research on enhancing the performance of LoRa (Long Range) wireless technology for Internet of Things (IoT) applications. The key products and services to be delivered under this award include: Design of a multi-dimensional, multi-resolution neural-enhanced...
- This three-year $300,000 Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will support research at Iowa State University on real-time liquid wireless networking for data-intensive rural applications. The university will investigate an RT-LWN framework to enable reliable and timely delivery of data across heterogeneous rural wireless networks, accounting for...
- The University of Florida is conducting a $282,245 collaborative research project titled "Towards High-Performing LoRa with Embedded Intelligence on the Edge" under a Project Grant award from the National Science Foundation Division of Computer and Network Systems (CFDA 47.070 - Computer and Information Science and Engineering). The key objectives of this 4-year project are to: (1) Design a multi-dimensional, multi-resolution neural-enhanced LoRa decoder to improve performance in...
- This $139,527 Project Grant, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to exploit, model, and leverage hidden features in heterogeneous Internet-of-Things (IoT) devices to improve the performance and security of IoT networks. The project, led by Texas Tech University System, focuses on two main thrusts: 1) developing models and optimization techniques to enhance IoT network performance by reducing...
- This Project Grant award of $174,975 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research at Worcester Polytechnic Institute (WPI) to develop an integrated framework for opportunistic computation offloading from battery-free Internet of Things (IoT) devices to persistently powered edge computing devices. The key objectives are to: (1) design a scheduling system to determine optimal communication and computation strategies...
- This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $600,000 to the University of California, Santa Barbara (UCSB) to develop a new unifying computer science and engineering approach to building and deploying Internet of Things (IoT) systems. The project aims to create a software environment and ecosystem that are operational-ready using current digital technologies to...
- Iowa State University will receive $218,212 under a two-year National Science Foundation Project Grant in the Computer and Information Science and Engineering program to develop a sub-millisecond topological feature extractor for high-rate machine learning. The university will investigate real-time topological data analysis capabilities by developing advances in mathematical, software, and hardware foundations to enable integration of topological data analysis with machine learning for...
- This $582,000 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will support research at Iowa State University on resource-efficient and fault-tolerant schemes for distributed model training in machine learning systems. The 3-year project aims to develop techniques that can simultaneously increase the reliability and speed of the training process, with the goal of enabling significant energy...