Jingmiao Wu
Papers
1
Total Citations
5
H-Index
1
About
Jingmiao Wu is a rising researcher in the field of wireless sensing and device-free positioning, with a focus on leveraging millimeter-wave (mmWave) signals for human-centric applications. Her most cited work, "Multi-Target Device-Free Positioning Based on Spatial-Temporal mmWave Point Cloud" (2024, 5 citations), introduces a novel approach to tracking multiple individuals without requiring them to carry any electronic devices. By analyzing how moving targets distort surrounding mmWave signals, Wu’s method transforms raw point cloud data into precise spatial-temporal positioning estimates, overcoming key challenges in multi-target environments. This contribution is particularly impactful as mmWave technology becomes ubiquitous in 5G and beyond, enabling applications in smart homes, healthcare, and security. Wu’s research bridges signal processing and machine learning, demonstrating how high-frequency wireless signals can be repurposed for passive sensing. Her work has already garnered attention for its potential to make device-free tracking more accurate and scalable, positioning her as a promising voice in the next generation of wireless sensing innovation.
Research Focus
Key Achievements
Top Papers
- 1