Federal Grant Award Summary

The University of Texas at Arlington received a $408,211 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), effective July 1, 2026 through June 30, 2031. This CAREER award supports the development of an artificial intelligence (AI)-driven integrated sensing, computing, and communication (ISC2) framework designed to enable proactive rather than reactive resource management in next-generation wireless networks. The project delivers technical innovations including deep learning models utilizing multi-headed transformer architecture to process raw sensor data, hierarchical graph neural networks to model multi-user interactions and resolve conflicting resource demands at the network edge, and multi-agent reinforcement learning algorithms to optimize resource allocation policies across network layers. These technical deliverables are intended to advance applications in autonomous transportation and smart factories by enabling wireless networks to predict user location and resource requirements before explicit demand.

In addition to research deliverables, the award funds workforce development and public engagement activities designed to prepare students for advanced wireless technologies. The project includes the development of experiential robotics games for high school students and interactive museum demonstrations to promote public understanding of next-generation wireless technology capabilities. These educational components support the broader CISE program objective of advancing research and education across computing and information science domains while building critical workforce capacity in emerging wireless communication technologies.