Masoud Kalantari
Concordia University, McGill University, American Society of Mechanical Engineers
Papers
6
Total Citations
43
H-Index
4
About
Masoud Kalantari’s research lies at the critical intersection of tactile sensing, soft tissue mechanics, and robotic-assisted minimally invasive surgery (MIS). His work focuses on developing and modeling tactile sensor arrays that can characterize the viscoelastic behavior of biological tissues—particularly heart tissue during mitral valve repair. Kalantari’s major contributions include creating a novel tactile array sensor capable of measuring time-dependent tissue properties, and establishing viscoelastic contact models that account for friction and tool-tissue interaction. These models are essential for building high-fidelity surgical simulators and improving haptic feedback in robotic systems like the da Vinci. His most cited paper (15 citations) presents a viscoelastic model for contact between a tactile sensor and atrial tissue, laying the groundwork for more realistic surgical simulations. He also pioneered 3D graphical rendering techniques to localize hard inclusions, such as lumps and arteries, within soft tissue during MIS. By integrating optical MEMS designs with tactile sensing, Kalantari has advanced the miniaturization and precision of surgical tools. His work directly addresses the current limitations of robotic surgery, aiming to restore the sense of touch that surgeons lose in minimally invasive procedures.
Research Focus
Key Achievements
Top Papers
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- 6Localization of annulus with a tactile sensor2 citations · 2011