Sourav Chandra
Indian Institute of Technology Madras, Northwestern University
Papers
5
Total Citations
13
H-Index
2
About
Sourav Chandra is a researcher dedicated to advancing robotic surgery, with a focus on making it more accessible and effective. His work centers on three key areas: developing low-cost surgical simulators, characterizing surgeon fatigue and tremor, and designing optimized robotic mechanisms. His most cited paper, "Development of virtual reality based robotic surgical trainer for patient-specific deformable anatomy" (5 citations), addresses the critical need for affordable training tools by proposing a VR-based simulator, a direct response to the prohibitive cost of commercial systems. To enhance surgical precision, Chandra has conducted pioneering analyses of fatigue-induced hand tremor, as seen in his work on empirical mode analysis and differential tremor characterization in laparoscopic maneuvering. He also contributed to the mechanical design of robotic surgery with an optimized Remote Centre of Motion mechanism. Notably, his 2020 case study presents a practical, complete design methodology for tele-operated surgical robots in resource-constrained environments, underscoring his commitment to democratizing advanced surgical technology. Through these contributions, Chandra is helping to lower the barriers to robotic surgery, from training to implementation.
Research Focus
Key Achievements
Top Papers
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