Papers
13
Total Citations
98
H-Index
6
About
Azhar Zam is a prominent researcher at the intersection of medical robotics, optical sensing, and laser-assisted surgery. His work centers on developing precision technologies for minimally invasive surgical systems, with particular focus on robotic endoscopes, angular sensing, and laser osteotomy — the controlled cutting of bone tissue. Zam has made significant contributions through the MIRACLE project, a landmark initiative aimed at building a flexible, robot-assisted endoscope capable of performing laser bone surgery with submillimeter accuracy. His innovations in rotary and angular encoder design address critical resolution limitations in surgical robotics, advancing safer and more precise intraoperative control. More recently, Zam has pioneered the application of deep learning to fiber Bragg grating-based shape sensing, enabling accurate 3D navigation of continuum robots inside the human body — a breakthrough with far-reaching implications for flexible surgical manipulators. His published work has accumulated citations across engineering, robotics, and biomedical disciplines, reflecting a broad and growing impact. With contributions spanning hardware sensing, robotic mechanism design, and AI-driven navigation, Zam represents a uniquely multidisciplinary voice in next-generation surgical technology research.
Research Focus
Key Achievements
Top Papers
- 1Proof of concept of a novel absolute rotary encoder16 citations · 2020
- 2Optimizing controlled laser cutting of hard tissue (bone)15 citations · 2018
- 3Shape sensing of optical fiber Bragg gratings based on deep learning14 citations · 2023
- 4Proof of principle of a novel angular sensor concept for tracking systems14 citations · 2018
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- 7Enabling Minimal Invasive Palpation in Flexible Robotic Endoscopes5 citations · 2018
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- 10New Trends in Medical and Service Robotics3 citations · 2022