KENNESAW, Ga. | Nov 11, 2026

The research aims to help connected sensors and other Internet of Things (IoT) devices share essential information more efficiently during disasters. By prioritizing meaningful information over unnecessary data, the technology could support emergency response when network capacity and battery power are limited. Researchers also will explore lightweight AI models and privacy protections to safeguard emergency data. The work seeks to strengthen communications during unfamiliar emergency situations, helping response systems exchange information reliably as conditions change.
The project, “Collaborative Research: VINES: Track 1: AI-Empowered and Privacy-Aware Semantic Communications for Energy-Efficient IoT-Enabled Emergency Response,” is led by Songyang Zhang at the University of Louisiana at Lafayette and includes researchers from the New Jersey Institute of Technology and Georgia State University. Xu will lead the project’s privacy-protection research, developing methods that safeguard sensitive information during transmission, and will supervise a KSU graduate research assistant over the three-year project.
This research is supported by the National Science Foundation under Award No. 2548961 (a subaward from the University of Louisiana at Lafayette)
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