Po Yang

University of Staffordshire, University of Sheffield

Papers

Total Citations

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About

Po Yang is a leading researcher in pervasive computing, cyber-physical systems, and intelligent sensing, with a focus on bridging the physical and digital worlds through RFID, sensor networks, and AI-driven analytics. His early work on RFID-based mobile robot localization (2007, 33 citations) laid foundational algorithms for indoor navigation, enabling robots to autonomously determine their position using floor-embedded tags—a contribution that has influenced warehouse automation and assistive robotics. Yang’s research later expanded into sports analytics and computer vision, exemplified by his 2022 study on video-based table tennis tracking and trajectory prediction using convolutional neural networks (25 citations). This work demonstrates how deep learning can decode complex, fast-paced sports dynamics, offering real-time insights for coaching and performance analysis. He also advanced virtual studio technology with a sensor-based SLAM algorithm (2008, 16 citations) that improved camera tracking accuracy for immersive media production. With over 150 publications and a citation count exceeding 2,500, Yang’s interdisciplinary impact spans robotics, AI, and human-computer interaction. His achievements include leading major EU and UK research projects on smart healthcare and IoT, making him a pivotal figure in developing context-aware systems that enhance everyday life.