Hassan Elgamal
Papers
2
Total Citations
22
H-Index
2
About
Hassan Elgamal is a researcher specializing in robotics, dynamics, and control systems, with a particular focus on surgical micro-robotics and innovative vehicle stabilization technologies. His most cited work, "Dynamic analysis with optimum trajectory planning of multiple degree-of-freedom surgical micro-robot" (2018, 20 citations), presents a comprehensive kinematic and dynamic analysis of a positioning surgical micro-robot using Denavit–Hartenberg algorithms and Lagrange techniques, contributing to precision in minimally invasive procedures. Elgamal also explores novel applications in transportation, as seen in his 2022 study on "Parameters Optimization of a Double Gyroscope Concept for a Two-Wheel Vehicle," which investigates control moment gyroscopes (CMGs) for self-stabilizing two-wheeled vehicles, aiming to prevent rollover and enhance safety. His work bridges theoretical modeling with practical engineering challenges, demonstrating impact in both medical robotics and automotive dynamics. With a growing citation record, Elgamal’s research offers valuable insights for students and engineers interested in robotic manipulation, trajectory optimization, and gyroscopic stabilization systems.
Research Focus
Key Achievements
Top Papers
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