Edris Farah

Papers

Total Citations

H-Index

About

Edris Farah’s research centers on the intersection of robotics, control systems, and medical applications, with a particular focus on improving precision in surgical interventions. His most cited work, "Fuzzy PID based path tracking control of a 5-DOF needle-holding robot" (2017, 5 citations), addresses a critical challenge in brachytherapy cancer treatment: the accurate placement of radioactive seeds within tumors. By developing a fuzzy PID controller for a needle-holding robot, Farah’s research directly enhances the precision of needle insertion, which is vital for effective treatment outcomes. This contribution underscores his commitment to bridging robotics and healthcare. Additionally, his work "An Efficient approach for Manipulator Robot dynamics modeling" (2018, 2 citations) demonstrates his expertise in simplifying complex robotic dynamics. Using Matlab/SimMechanics, Farah presents a block-diagram approach that makes forward and inverse dynamic modeling more accessible—a valuable tool for researchers and engineers tackling manipulator robot design. Though his citation counts are modest, Farah’s contributions are notable for their practical impact on medical robotics and their potential to improve patient care through more reliable automation.