Momen Abayazid
Papers
26
Total Citations
741
H-Index
11
About
Momen Abayazid is a prominent robotics and medical engineering researcher whose work sits at the intersection of surgical robotics, medical imaging, and human-robot interaction. He is best known for his groundbreaking contributions to flexible needle steering, an area where he developed sophisticated closed-loop control algorithms combining deflection models, Fiber Bragg Grating sensors, and ultrasound image feedback to achieve precise robotic needle guidance in soft tissue — work that has collectively garnered nearly 250 citations. His 2013 study on three-dimensional needle steering using FBG sensors (115 citations) and his real-time ultrasound-based needle tracking research have become foundational references in the field. Beyond needle interventions, Abayazid has made significant contributions to soft robotics, publishing a widely cited 2019 review on soft surgical robots for endoscopic applications (134 citations) and exploring untethered soft grippers for complex manipulation tasks. His more recent work extends into haptic feedback for robotic liver surgery and automated robotic ultrasound systems for musculoskeletal reconstruction, demonstrating a continuously evolving research agenda. Throughout his career, Abayazid has consistently championed the integration of physician oversight with robotic precision, advancing teleoperation systems that keep clinicians actively engaged — a philosophy reflected across his body of work.
Research Focus
Key Achievements
Top Papers
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- 2A review on recent advances in soft surgical robots for endoscopic applications134 citations · 2019
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- 8Control of untethered soft grippers for pick-and-place tasks29 citations · 2016
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