Elaheh Mozaffari
Papers
1
Total Citations
11
H-Index
1
About
Elaheh Mozaffari is a researcher whose work sits at the intersection of medical robotics and tactile sensing, with a particular focus on enhancing robotic minimally invasive surgery (RMIS). Her key research areas include the development of novel tactile array sensors for viscoelastic tissue characterization and the improvement of haptic feedback in surgical robotics. Her most-cited paper, "A new tactile array sensor for viscoelastic tissues with time-dependent behavior" (2015, 11 citations), introduces an innovative sensor design that can measure the time-dependent mechanical properties of soft tissues—a critical capability for safer and more precise surgical procedures. This work addresses a fundamental limitation in RMIS, where surgeons lack the tactile feedback available in open surgery. Mozaffari’s contributions lie in bridging this gap by creating sensors that mimic human touch, enabling real-time tissue assessment during minimally invasive operations. While her citation count is still growing, her research represents an important step toward more intelligent and responsive surgical tools, with potential applications in training simulators and autonomous surgical systems. Her work is particularly notable for its interdisciplinary approach, combining materials science, sensor engineering, and clinical needs.
Research Focus
Key Achievements
Top Papers
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