Ya Jie Mu
Papers
1
Total Citations
43
H-Index
1
About
Ya Jie Mu is a rising innovator in wireless power transfer and intelligent electromagnetic surfaces, with a focus on enabling battery-free, connected devices for next-generation industrial and sensing applications. Their most-cited work, "Adaptive wireless-powered network based on CNN near-field positioning by a dual-band metasurface" (2024, 43 citations), introduces a groundbreaking approach that combines a dual-band metasurface with convolutional neural network (CNN)-based near-field positioning. This system dynamically adapts power delivery to moving terminals, overcoming a critical barrier in wireless charging—efficiency during motion. By integrating machine learning with electromagnetic design, Mu’s research bridges the gap between adaptive power management and real-time spatial awareness, offering a scalable solution for battery-free sensing, processing, and communication networks. This work has quickly gained traction, reflecting its potential to transform how electronic devices are powered in dynamic environments. Mu’s contributions stand at the forefront of merging artificial intelligence with metamaterials, promising to drive advances in industrial IoT, robotics, and pervasive computing. Their achievements highlight a commitment to practical, intelligent energy solutions that could redefine connectivity in the wireless era.
Research Focus
Key Achievements
Top Papers
- 1