Ziming Zhang
Papers
7
Total Citations
100
H-Index
5
About
Ziming Zhang is a robotics and medical imaging researcher whose work sits at the intersection of autonomous systems, ultrasound-guided robotics, and human-computer interaction. He is perhaps best known for his pioneering contributions to robotic lung ultrasound imaging, developing autonomous systems capable of localizing scanning targets without direct clinician contact — a breakthrough with particular relevance during the COVID-19 pandemic, where minimizing healthcare worker exposure was critical. This work has garnered 44 citations and established Zhang as a notable voice in robotic ultrasound systems (RUSS). A significant thread of Zhang's research explores forearm ultrasound as a non-invasive means of decoding hand motion, enabling accurate prediction of finger joint angles and hand configurations for applications in AR/VR interfaces and robotic control — work that has collectively attracted nearly 40 citations. His more recent contributions refine anatomy-aware probe navigation for standardized imaging, pushing robotic ultrasound toward clinical reliability. Beyond medical robotics, Zhang has contributed to LiDAR depth completion using novel neural network architectures and multi-robot coordination systems employing adaptive Kalman filtering. Across these diverse domains, Zhang's research consistently targets real-world deployment challenges, making him a versatile and practically minded contributor to modern robotics and intelligent imaging systems.
Research Focus
Key Achievements
Top Papers
- 1Autonomous Scanning Target Localization for Robotic Lung Ultrasound Imaging44 citations · 2021
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- 5Distance Transform Pooling Neural Network for LiDAR Depth Completion6 citations · 2021
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