Mohammad Hadi Mazloom

Graduate University of Advanced Technology

Papers

Total Citations

H-Index

About

Mohammad Hadi Mazloom is a researcher specializing in the intersection of robotics, control systems, and medical technology, with a particular focus on advancing the capabilities of robot-assisted surgical systems. His work addresses one of the most critical challenges in modern medicine: enabling minimally invasive surgical procedures with enhanced precision and reliability. Mazloom's most notable contribution, "Intelligent Trajectory Tracking Control of Robot-Assisted Surgery" (2015), has garnered 5 citations and explores how intelligent control algorithms can improve the accuracy and performance of robotic surgical systems — technologies increasingly employed in complex procedures involving the brain, heart, eye, and hip. Complementing this work, his paper on "Robust Auto-Intelligent Sliding Accuracy for High Sensitive Surgical Joints" (2015) introduces sophisticated sliding mode control strategies designed to meet the stringent demands of high-precision surgical environments, accumulating 2 citations. Through these contributions, Mazloom has helped lay groundwork for more reliable and precise robotic surgical platforms, addressing real-world limitations of conventional minimally invasive techniques. His research holds meaningful implications for the future of surgical robotics, particularly as the medical community increasingly demands safer, more autonomous, and highly accurate robotic assistance in operating environments.