Cooperative Agreement W911NF262A188

This $300,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) supports a collaborative research project between Florida International University (FIU), Auburn University, the Indian Institute of Technology Kanpur, and the International Institute of Information Technology Naya Raipur. The project aims to develop deep learning-based localization and sensing capabilities for unmanned aerial vehicle (UAV)...

The National Science Foundation Division of Information and Intelligent Systems awarded the University of Texas at Dallas $299,741 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop artificial-intelligence methods enabling cooperative radar perception networking across connected vehicles and roadside infrastructure. The project addresses a critical gap in vehicle-based mmWave radar sensing: individual vehicles perceive only from their own...

The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $550,000 Project Grant under the NSF Engineering program (CFDA 47.041) to the Regents of the University of California, doing business as the University of California, Berkeley. The grant period runs from July 1, 2023 to June 30, 2026. The goal of the research project is to explore low-cost integrated circuit technology for next-generation 240 GHz multiple-input, multiple-output (MIMO) radar...

This $174,964 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations supports research under the Computer and Information Science and Engineering program. The grant funds development of a novel sparse framework for automotive radar sensing to enable high-resolution environmental perception for autonomous vehicles. Key products include algorithms applying matrix completion to irregular sparse arrays, achieving high angular resolution with low-cost...

The National Science Foundation awarded a $360,000 Project Grant to the University of California, Los Angeles under the Engineering program (CFDA 47.041) to develop frequency-comb-enabled intelligent sensing technology for millimeter-wave and terahertz integrated circuits. Over a three-year period from September 2022 to August 2025, the university will design and test a novel radar device capable of performing broadband coherent detection and sensing from 600 GHz to the terahertz frequency...

This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) to Virginia Polytechnic Institute & State University (Virginia Tech) provides $500,000 in funding from Jul 1, 2023 to Jun 30, 2026 to enhance the security and robustness of autonomous driving systems against physical-world perceptual illusion attacks. The project aims to deepen the understanding of security risks from physical attacks that could undermine the sensing...

The National Science Foundation Division of Computer and Network Systems awarded the University of Texas at Arlington $341,039 on May 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to design, prototype, and evaluate millimeter-wave security mechanisms for drone-integrated IoT systems. The investigator is developing four integrated technology thrusts: MMDRONE-SURV, a millimeter-wave framework for extended-range drone detection and tracking; MMDRONE-AUTH,...

This Project Grant from the National Science Foundation's $375,000 Computer and Information Science and Engineering program will support the development of opportunistic millimeter-wave receivers and associated algorithms from 2023 to 2025. The University of Southern California will use the funding to create transceiver hardware and array-based receivers that can adaptively operate within the 18-54 GHz spectrum through machine learning techniques. The receivers will identify available...

The National Science Foundation Division of Information and Intelligent Systems awarded George Mason University $269,000 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research on AI-driven cross-camera video analytics through networked co-learning. The project develops an artificial intelligence framework that enables multiple networked cameras to work together to understand complex scenes with high accuracy and low...

The National Science Foundation Division of Computer and Network Systems awarded $766,754 to the University of California, San Diego on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop scalable particle flow methods for simultaneous localization and mapping (SLAM) in underwater robots. The project will create tools that enable marine robots to track multiple possible paths and maps simultaneously, improving their ability to navigate...