Hamid Khayyam
Papers
3
Total Citations
58
H-Index
3
About
Hamid Khayyam’s research bridges the complex worlds of intelligent energy systems and advanced robotics, with a particular focus on hybrid electric vehicles (HEVs) and climbing robots. His seminal 2010 work on “Intelligent Energy Management in Hybrid Electric Vehicles” (34 citations) established a foundational framework for treating HEVs as complex systems, integrating mechanical, electronic, and electromechanical elements to optimize energy efficiency. This contribution has influenced subsequent research in adaptive control and energy optimization. More recently, Khayyam has pioneered robotic solutions for industrial inspection, notably through the development of the BogieBot—a miniature climbing robot designed to navigate the cluttered, confined spaces of train bogies with ferrous metal surfaces. His 2022 paper on “Design and adaptive control of a kinematically redundant robot with enhanced trajectory tracking for climbing in tight spaces” (19 citations) demonstrates significant advances in adaptive control for redundant manipulators, enabling precise movement in challenging environments. These contributions highlight Khayyam’s ability to apply complex systems thinking to real-world engineering challenges, from sustainable transportation to proactive industrial inspection.
Research Focus
Key Achievements
Top Papers
- 1Intelligent Energy Management in Hybrid Electric Vehicles34 citations · 2010
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