Hashem Yousefi

University of Auckland, Amirkabir University of Technology

Papers

Total Citations

H-Index

About

Hashem Yousefi’s research lies at the intersection of medical robotics and soft tissue mechanics, with a focused interest in the dynamics of needle insertion for minimally invasive procedures. His work addresses critical challenges in robotic-assisted therapies, including brain biopsy, prostate brachytherapy, and percutaneous interventions. Yousefi’s major contributions include pioneering investigations into the effects of rotational motion during robotic needle insertion, where he systematically analyzed how angular velocity influences tissue interaction forces and insertion accuracy. This work, published in 2015, has garnered 4 citations and provides foundational insights for improving the precision of robotic end-effectors in clinical settings. Additionally, his 2012 study on needle insertion force modeling introduced an innovative approach using Genetic Programming Polynomial Higher Order Neural Networks, achieving 3 citations. This method offers a data-driven framework for predicting and optimizing insertion forces, enhancing the safety and efficacy of computer-aided surgical systems. Though his citation counts are modest, Yousefi’s contributions are notable for their technical rigor and direct relevance to advancing robotic surgery. His research serves as a stepping stone for engineers and clinicians seeking to refine needle-based procedures, demonstrating a commitment to bridging computational modeling with practical medical applications.