Yao Ge is a Postdoctoral Research Fellow at the University of Birmingham, specializing in AI-enabled RF sensing and human-centric monitoring. With a PhD from the University of Glasgow focused on diversified human activity recognition using wireless signals, his research interests encompass contactless sensing technologies, including WiFi, radar, and mmWave imaging for applications in healthcare, such as respiration detection, driver fatigue monitoring, gait analysis, and vital signs estimation. He has publication in top journals including IEEE Transactions on Cognitive Communications and Networking, IEEE Transactions on Multimedia, IEEE Internet of Things Journal and IEEE Sensors Journal, exploring multimodal data fusion, deep learning models, and emerging trends in ISAC and space domain awareness. Yao's work bridges electronics engineering, biomedical engineering, and AI, aiming to advance privacy-preserving, non-invasive monitoring systems for real-world scenarios.