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About

Lingyang Song is a pioneering researcher at the intersection of wireless communications, artificial intelligence, and environmental sensing. His work fundamentally advances how intelligent systems interact with and monitor the physical world. A key contribution is the development of "AirScope," a mobile sensing system that employs cooperative robots and distributed deep reinforcement learning to monitor indoor air quality. This work, which has garnered 28 citations, addresses the critical challenge of providing low-cost, comprehensive indoor pollution monitoring—a growing health risk. Song’s research extends to the cutting edge of 6G communications, where he explores the "Internet of Meta-Material Things" (meta-IoT), proposing techniques to broaden reflection coverage for ultra-low-power, robust sensor networks. He has also shaped the field of wireless vehicular communications, contributing to road safety and intelligent management systems. With a career spanning from foundational vehicular networks to AI-driven environmental robotics and next-generation meta-material networks, Song’s work demonstrates a consistent drive to solve real-world problems through innovative, interdisciplinary engineering. His research continues to influence how autonomous systems can create safer, cleaner, and more connected environments.