Cyber Physical Systems

The Cyber Physical Systems (CPS) group at North Carolina State University is a diverse and dynamic research team with a broad spectrum of interests and expertise. Their collective research spans real-time scheduling theory, machine learning theory, and the application of these theories to Cyber-Physical Systems. The group’s research addresses a wide array of application domains, including transportation, autonomous driving systems, personalized healthcare, medical sensing-control systems, agricultural systems, IoT, and Smart Health. Furthermore, the group is actively involved in cutting-edge research at the intersection of Internet of Things (IoT), physiological science, and Smart Health. This research involves pioneering advancements in embedded sensing and computing systems, with a focus on enhancing IoT resolution, creating novel human-IoT interfaces, and developing pervasive and privacy-preserving mobile health solutions. The CPS group also excels in software-hardware co-design, particularly for domain-specific computing, like machine learning. Their work aims to create efficient, low-latency computing techniques suitable for embedded, energy-harvesting, and Internet of Things devices. These techniques find application in critical areas such as autonomous driving, medical systems, networking, and sensing systems. For more details on the research interests of individual members of the CPS group, click here.