Shahrzad Hanifeh

Johns Hopkins University, Sharif University of Technology

Papers

Total Citations

H-Index

About

Shahrzad Hanifeh is a robotics researcher whose work sits at the critical intersection of surgical robotics, mechanism design, and kinematic calibration. Her primary contributions center on the “Sina” surgical robot system, where she has tackled fundamental challenges in making robotic surgery more precise and adaptable. Her most cited work, “Investigation of a Hybrid Kinematic Calibration Method for the ‘Sina’ Surgical Robot” (2020, 13 citations), addresses a core problem in medical robotics: ensuring accurate motion control when analytical solutions fail. By developing a hybrid approach that blends model-based and model-free techniques, Hanifeh offers a practical path to improving robot precision without relying on perfect mathematical models. In a complementary study (2017, 6 citations), she designed an adapting mechanism that allows the Sina system to manipulate manual wristed laparoscopic instruments—a significant step toward integrating existing surgical tools into robotic platforms. This work demonstrates her ability to bridge the gap between conventional surgery and robotic assistance. Hanifeh’s research is notable for its direct clinical relevance, offering solutions that could make robotic surgery more accessible and reliable. Her focus on calibration and adaptability positions her as a key contributor to the next generation of flexible, precise surgical robots.