Abhilash K. Pandya
Papers
16
Total Citations
521
H-Index
10
About
Abhilash K. Pandya is a prominent researcher at the intersection of robotics, surgical automation, and human-machine interaction, with particular expertise in robot-assisted surgery, autonomous camera control, and objective surgical skill assessment. His work has fundamentally advanced how surgical competence is evaluated, moving the field away from subjective judgment toward data-driven, machine learning-based frameworks. His 2017 paper introducing a predictive analytics approach to automated surgical skill evaluation has garnered 184 citations, establishing him as a leading voice in this rapidly evolving domain. Pandya's contributions span multiple dimensions of surgical robotics. He pioneered augmented reality cueing systems to improve teleoperator performance and developed innovative eye-gaze-tracking interfaces for autonomous laparoscopic camera positioning. His sustained focus on autonomous camera control, including implementations on the da Vinci Surgical System, addresses a critical clinical challenge—reducing surgeon cognitive burden during complex procedures. His time-series classification methods for surgical task recognition further underscore his commitment to enabling true robot autonomy in the operating room. With a body of work exceeding 480 cumulative citations, Pandya's research has had measurable influence on surgical robotics education, autonomous systems design, and clinical workflow optimization, making his profile essential reading for students and researchers in medical robotics and AI-assisted surgery.
Research Focus
Key Achievements
Top Papers
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- 4Towards an Autonomous Robot for Camera Control During Laparoscopic Surgery43 citations · 2013
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- 6Machine Learning Approach for Skill Evaluation in Robotic-Assisted Surgery36 citations · 2016
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- 8Task analysis of laparoscopic camera control schemes20 citations · 2015
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