Lina Zhang

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About

Lina Zhang is a pioneering researcher at the intersection of robotic surgery and intelligent control systems, with a primary focus on enhancing safety and precision in robot-assisted spinal procedures. Her major contributions lie in developing novel sensing and control methodologies for bone milling during laminectomy, a critical spinal surgery. Zhang's most impactful work, "Vertebral Lamina State Estimation in Robotic Bone Milling Process via Vibration Signals Fusion" (2022, 27 citations), established a dynamic milling model that uses vibration signal analysis to estimate remaining lamina thickness in real-time—a breakthrough that directly addresses the dangerous risk of spinal cord injury during automated bone removal. Building on this, her 2024 study on "Sound Feedback Fuzzy Control" (11 citations) introduced an innovative auditory feedback system that optimizes robotic milling actions layer-by-layer, demonstrating her commitment to multi-sensory approaches for surgical robotics. Zhang has also explored brain-computer interfaces for service robots, showcasing her broader vision of assistive technology. Her work has been recognized for its potential to transform minimally invasive spine surgery, earning her a reputation as a rising leader in medical robotics and human-robot interaction.