Hongmiao Zhang

Papers

Total Citations

103

H-Index

About

Hongmiao Zhang is a pioneering researcher at the intersection of wearable electronics, biomedical engineering, and human-machine interaction. Their most impactful work introduces an all-weather, natural silent speech recognition system using machine-learning-assisted tattoo-like electronics, enabling communication for individuals with aphasia and robust human-machine interaction under diverse environmental conditions. This breakthrough paper has garnered 98 citations, reflecting its significance in advancing assistive technologies and flexible electronics. Zhang also contributes to surgical robotics, developing a force-sensing system for colonoscopy robots to enhance procedural safety and precision, and advancing automated feature extraction for pelvic surface registration using PointMLP_RegNet, critical for robot-assisted fracture reduction surgery. Their research demonstrates a commitment to translating cutting-edge materials science and machine learning into practical solutions for healthcare and communication, with notable achievements in creating unobtrusive, wearable interfaces that operate reliably in real-world settings.