Project Grant 2312675
Award Date 10/1/23
Completion Date 9/30/27
Dollars Obligated $450K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Columbus, OH 43210, USA
Similar Awards
- 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)...
- 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 $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...
- 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,...
- This $500,900 project grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at Iowa State University to develop theoretical foundations and systems for enabling industrial automation using low-power wide-area networks (LPWANs). Specifically, the university will address challenges in adopting the leading LPWAN technology, LoRa, for industrial automation applications requiring real-time communication and scheduling over large...
- 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...
- The National Science Foundation (NSF) awarded a $120,000 Project Grant to Tennessee State University under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant funds a collaborative research project to develop a framework for automating end-to-end resource management of 5G-enabled Internet of Things (IoT) devices using reinforcement learning (RL) techniques with massive multiple-input multiple-output (MIMO) in large-scale networks. The project aims to address the...
- This Project Grant award of $200,000 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop a novel hardware-software co-design communication framework that enables parallel communication and improved spectrum utilization and power efficiency for heterogeneous Internet of Things (IoT) devices operating on the crowded 2.4GHz unlicensed spectrum. The framework will leverage software-defined radios (SDRs)...
- The National Science Foundation (NSF) Directorate for Engineering (CFDA #47.041) awarded a $360,000 Project Grant to the University of California, Irvine (UC Irvine) to develop advanced "neurally-inspired" technology for seamlessly integrating communication and machine learning. The key products and services to be delivered under this 3-year grant are: (1) Designing rigorous communication schemes that leverage redundant and holographic neural representations to achieve...
- This $400,000 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to The Ohio State University. The grant supports collaborative research to develop a principled and unified mathematical framework for deep learning on low-dimensional data structures. The key objectives are to: 1) Design "white-box" deep neural networks optimized for information gain and representation...