Mohammed Y. Hassan
Papers
9
Total Citations
191
H-Index
5
About
Mohammed Y. Hassan is a prolific researcher whose work spans intelligent control systems, hydraulic and pneumatic actuation, robotics, and deep learning-based localization. Over more than a decade of active scholarship, Hassan has made significant contributions to the application of advanced computational intelligence techniques — including fuzzy logic, neural networks, and bio-inspired optimization — to real-world engineering control challenges. His most influential work, "Position Control of Electro-hydraulic Actuator System Using Fuzzy Logic Controller Optimized by Particle Swarm Optimization" (2013, 88 citations), exemplifies his signature approach: combining soft computing methods with optimization algorithms to achieve superior control performance. This contribution has become a key reference in the electro-hydraulic control literature. His early explorations into neural network-based PI and PID controllers for pneumatic systems (2008–2010, garnering nearly 60 combined citations) further established his expertise in intelligent industrial automation. Hassan has also demonstrated a humanitarian dimension to his research through his work on rehabilitation robots designed to assist patients recovering from stroke and physical injury. More recently, he has embraced deep learning, developing robust outdoor localization frameworks for mobile robots operating under challenging weather conditions. Across his career, Hassan's interdisciplinary contributions reflect a sustained commitment to bridging theoretical control intelligence with practical robotic applications.
Research Focus
Key Achievements
Top Papers
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- 2Comparison between Neural Network based PI and PID controllers32 citations · 2010
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- 7Outdoor Localization of 4-Wheels for Mobile Robot Using CNN with 3D Data4 citations · 2022
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