Xuyu Wang, Ph.D., assistant professor in the Knight Foundation School of Computing and Information Sciences at Florida International University, has received the prestigious National Science Foundation (NSF) CAREER Award, one of the NSF’s most competitive honors recognizing outstanding early-career faculty researchers.
The award provides approximately $553,000 in funding over five years to support Wang’s research project, “Enabling Generative, Robust, and Interpretable Wireless Intelligence for RF Spectrum Foundations and Applications.”
Through this project, Wang will develop AI/ML-native wireless intelligence by integrating generative, robust and interpretable machine learning methods with wireless systems to advance radio frequency (RF) sensing, channel modeling and spectrum access.
The research will address key challenges in wireless AI and machine learning, including the need for high-quality data, the ability of models to adapt across different environments and the interpretability of machine learning-based systems. The project will explore methods for spectrum data synthesis and augmentation, improve AI models’ ability to generalize across wireless environments and develop interpretable machine learning approaches for applications such as RF fingerprinting, wireless sensing and channel prediction.
The project will also provide hands-on learning, research and training opportunities for undergraduate and graduate students through the integration of research and education.
The NSF CAREER Award recognizes Wang’s contributions to wireless communications, artificial intelligence and machine learning while supporting research with the potential to advance the future of intelligent wireless systems.
Please join us in congratulating Xuyu Wang, Ph.D., on this outstanding achievement.
More information of the award can be found at: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2543148