INTELLIGENT MOBILE SYSTEMS

Credit Hours: 3 · Graduate

This course focuses on building intelligent mobile systems that sense, communicate, and make decisions under tight resource constraints like limited energy, compute, and bandwidth. Students will explore wireless communication, embedded sensing, and machine learning techniques for mobile applications. Topics include wireless localization, sensor fusion, on-device AI, energy harvesting, wireless imaging, and emerging techniques like 3D mapping and neural radiance fields. The course combines both the foundational principles and the state-of-the-art research in mobile computing and embedded intelligence. Recommended Prerequisite(s): Recommended background in signal processing, wireless communication, embedded systems, networking, and machine learning.