Jia Zheng
Papers
3
Total Citations
55
H-Index
2
About
Jia Zheng is a researcher at the forefront of medical robotics and high-performance AI acceleration, whose work bridges critical gaps in both clinical safety and computational efficiency. Their primary research areas include medical ultrasound robotics, AI hardware acceleration, and intrinsically safe robotic systems. Zheng’s most impactful contribution is the development of a dual-probe ultrasound robot for standardized fetal imaging, which aims to enhance the reliability and usability of medical ultrasound through robotic and AI integration—a work that has garnered 32 citations. In the hardware domain, Zheng led the design of XVDPU, a high-performance CNN accelerator on Xilinx’s 7nm Versal platform, achieving 21 citations by addressing computation and I/O bottlenecks for larger, high-resolution networks. Notably, Zheng also engineered a safety joint with passive compliant and manual override mechanisms for medical robotics, demonstrating a commitment to force and collision control essential for clinician-patient interaction. This work, while newer, underscores Zheng’s dedication to intrinsically safe design. Together, these contributions position Jia Zheng as a key innovator in making medical robotics both smarter and safer.
Research Focus
Key Achievements
Top Papers
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