Papers
6
Total Citations
177
H-Index
5
About
Suvranu De is a pioneer in the fields of biomechanics, medical simulation, and surgical skill assessment, with a career dedicated to bridging the gap between engineering and medicine. His major contributions center on the development of high-fidelity virtual reality surgical simulators, for which he has created groundbreaking methods to characterize the mechanical behavior of soft tissues. De’s most influential work, with over 100 citations, involves the *in situ* measurement and modeling of human cadaveric soft tissues, providing the foundational data for realistic physics-based simulations. He further advanced this field by developing efficient algorithms for characterizing *in vivo* tissue properties from indentation experiments and by creating the Soft Tissue Elastography Robotic Arm (STiERA) to measure layer-specific nonlinear material properties using ultrasound imaging. Beyond biomechanics, De has made notable strides in surgical education, developing a validated virtual camera navigation task trainer and pioneering the use of meta-learning for one-shot skill assessment in high-stakes domains. His work is critical for training the next generation of surgeons, ensuring that virtual simulations are both realistic and effective.
Research Focus
Key Achievements
Top Papers
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- 4Development and face validation of a virtual camera navigation task trainer14 citations · 2018
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- 6Development of a Soft Tissue Elastography Robotic Arm (STiERA).2 citations · 2016