Papers
30
Total Citations
2,122
H-Index
21
About
Mika Sinanan is a pioneering surgical researcher whose work sits at the intersection of minimally invasive surgery (MIS), surgical robotics, and objective skills assessment. Over more than two decades, he has made foundational contributions to how surgeons are trained, evaluated, and technologically equipped to perform complex procedures with greater precision and safety. Sinanan's early work established rigorous, data-driven frameworks for assessing surgical performance, developing force/torque signature analysis and Hidden Markov Model-based evaluation systems to replace subjective resident assessments — work that garnered over 160 citations and transformed surgical education research. His development of the BlueDRAGON system enabled in-vivo measurement of surgical tool kinematics and dynamics, providing unprecedented insight into operative mechanics. His contributions to surgical robotics are equally significant. As a collaborator on the RAVEN telesurgery platform (259 citations), he helped advance remote surgical capabilities, while his biomechanical studies of abdominal organ tissue under compression (225 citations) provided critical data for haptic feedback systems and robot design. His Markov model framework for analyzing MIS as a stochastic process (220 citations) further cemented his influence on surgical workflow analysis. Collectively, Sinanan's body of work has shaped modern surgical robotics, simulation, and performance assessment.
Research Focus
Key Achievements
Top Papers
- 1The RAVEN: Design and Validation of a Telesurgery System259 citations · 2009
- 2
- 3
- 4
- 5
- 6
- 7Assessment of Tissue Damage due to Mechanical Stresses129 citations · 2007
- 8
- 9
- 10