Papers
7
Total Citations
255
H-Index
5
About
Saad Mekhilef is a leading researcher whose work spans autonomous systems, advanced control theory, and intelligent robotics. His primary contributions lie in the development of robust control strategies for complex, uncertain systems—particularly through sliding mode control and fuzzy adaptive algorithms. Mekhilef’s research has profoundly impacted underwater robotics, as evidenced by his highly cited 2024 review on autonomous underwater vehicle (AUV) path technologies, which has garnered 81 citations and explores biomimicry, navigation, and sensing. He has also advanced fixed-time sliding mode observer-based controllers for nonlinear systems (27 citations) and pioneered system identification techniques for robot manipulators using fuzzy adaptive differential evolution (57 citations). Beyond theoretical work, Mekhilef has applied his expertise to medical robotics, developing a cooperative orthopedic drilling assistance system. His editorial role in the proceedings of ICEEE 2020 further underscores his leadership in electrical and electronic engineering. With a career marked by over 250 citations across his most influential papers, Mekhilef continues to shape the frontier of intelligent control and autonomous systems.
Research Focus
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Top Papers
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