Mamoun F. Abdel–Hafez
Papers
8
Total Citations
332
H-Index
8
About
Mamoun F. Abdel–Hafez is a leading researcher in autonomous robotics, sensor fusion, and intelligent navigation systems, with a particular focus on pipeline inspection and mobile robot localization. His most impactful work includes the development of an in-pipe leak detection robot equipped with a neural-network-based verification system (72 citations), which addresses critical challenges in the oil and gas industry by integrating pressure sensors and propeller-based mobility for precise leak identification. He has also made significant contributions to inertial navigation systems for pipeline inspection gauges (57 citations), proposing high-accuracy INS models that enhance the reliability of underground infrastructure monitoring. Abdel–Hafez’s comprehensive review of the smooth variable structure filter (64 citations) has become a key resource for researchers working on robust state estimation. His work on low-cost reduced navigation systems for mobile robots (49 citations) and multi-sensor fusion using the Extended Kalman Filter (33 citations) demonstrates his commitment to practical, affordable solutions for indoor and outdoor environments. More recently, he has explored intelligent optimization techniques, such as fuzzy logic-based adaptive dynamic window approaches (32 citations), to improve mobile robot motion control in dynamic settings. With over 300 total citations, Abdel–Hafez’s research bridges theoretical advances in filtering and control with real-world applications in robotics and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2The smooth variable structure filter: A comprehensive review64 citations · 2020
- 3Inertial Navigation System of Pipeline Inspection Gauge57 citations · 2018
- 4
- 5
- 6
- 7
- 8