Zaer S. Abo‐Hammour
Pakistan Institute of Engineering and Applied Sciences, University of Jordan
Papers
3
Total Citations
106
H-Index
3
About
Zaer S. Abo‐Hammour is a leading researcher in robotics and control systems, whose work bridges the gap between computational intelligence and practical engineering. His primary research areas include robot path planning, genetic algorithms, and model order reduction for power systems. Abo‐Hammour is best known for pioneering the use of continuous genetic algorithms (CGAs) to solve complex robotics problems. His seminal 2002 paper on Cartesian path generation for robot manipulators, which has earned 49 citations, introduced a novel approach that allows robots to follow precise paths with high efficiency. He later extended this work in 2011, developing a CGA combined with a distance algorithm to achieve collision-free path planning—a critical advancement for industrial automation. Beyond robotics, Abo‐Hammour has made significant contributions to power systems engineering. His 2014 paper on substructure preservation Sylvester-based model order reduction, cited 27 times, presents an innovative technique for simplifying large-scale power system models while retaining their essential dynamic behavior. This work has important implications for grid stability and simulation. With a career marked by methodological rigor and practical impact, Abo‐Hammour’s research continues to influence both robotic manipulation and power system analysis.
Research Focus
Key Achievements
Top Papers
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