As technology advances and an increasing number of devices enter our homes and workplace, humans have become an integral component of cyber-physical systems (CPS). One of the grand challenges of cyber-physical human systems (CPHS) is how to design autonomous systems where human-system collaboration is optimized through improved understanding of human behavior. A new frontier within this landscape is afforded by the advent of low-cost, low-power millimeter-wave radio frequency (RF) transceivers, which can be exploited almost anywhere as part of the Internet-of-Things, smart environments, and personal devices. RF sensors provide a unique, information rich dataset of high-resolution measurements of distance, direction-of-arrival, and micro-Doppler signature in a non-contact, non-intrusive fashion in most weather conditions and in the dark. This CAREER project aims to pave the way for new and innovative RF-enabled CPHS applications in service of society and a better quality-of-life by transforming current fixed-transmission RF sensors into intelligent devices that can autonomously respond to human and environmental dynamics to optimize CPHS performance. Due to the burgeoning commercial sector utilizing radar across a variety of fields, such as transportation, health and human-computer interaction, this project features integrated academic preparation for multi-disciplinary, convergence research at both undergraduate and graduate levels to educate a new generation of engineers with experience in RF sensing, machine learning, signal processing and CPHS applications. Through K-12 outreach activities and recruiting at local historically black colleges and universities (HBCUs), this project will enrich and motivate students to study STEM fields, laying the foundations for a diverse and globally competitive STEM workforce for the future.