معرفی
Qiang Yang is a Postdoctoral Research Associate at the Department of Computer Science and Technology, University of Cambridge, working under Prof. Cecilia Mascolo. His research focuses on mobile health, ubiquitous computing, and leveraging acoustic signals for health monitoring, IoT systems, and human-computer interaction. Key projects include gait monitoring via earables, toothbrushing tracking with in-ear sensors, and voice liveness detection for smart devices.
His work bridges machine learning with sensor technologies, addressing challenges in energy retrofitting, emergency response systems, and secure IoT communications. Collaborations emphasize practical applications in healthcare, wearable tech, and environmental sustainability. Notable projects include SmarTeeth, WalkEar, and AutoIOT, showcasing innovations in acoustic-based health monitoring and AI-driven IoT programming.
Publications span topics like federated learning optimization, underwater SOS detection, and mmWave radar communication via smartphone vibrations. His research has implications for improving lifestyle management, disaster response, and secure smart environments.
