Project Grant 2543148

Grant Summary

Florida International University is receiving a $323,004 Project Grant 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 artificial intelligence (AI) and machine learning (ML) methods integrated with wireless systems to advance radio frequency (RF) spectrum sensing, channel modeling, and spectrum access capabilities. The project addresses critical gaps in wireless AI/ML through four research thrusts: (1) spectrum data synthesis and augmentation using generative AI models to create high-quality labeled datasets; (2) domain generalization for wireless sensing through foundation models, uncertainty estimation, and domain-invariant feature representations; (3) interpretability enhancement for ML-guided wireless systems; and (4) validation and evaluation through real-world applications including RF fingerprinting, wireless sensing, and channel prediction.

The award includes significant educational components designed to provide undergraduate and graduate students with hands-on learning, research, and training opportunities through the integration of research and education activities. The project directly targets three major challenges in wireless AI/ML: insufficient high-quality training data, domain and target shift limitations, and the interpretability deficiency of many ML models. By combining recent advances in generative AI with wireless systems engineering, the initiative aims to enable more robust, transparent, and effective AI/ML solutions for next-generation wireless networks and spectrum resource management.