Yousif Al Mashhadany

University of Anbar

Papers

24

Total Citations

397

H-Index

12

About

Yousif Al Mashhadany is a prominent researcher specializing in intelligent control systems, robotics, and automation, with emerging contributions to nanophotonics and IoT-based agricultural technologies. His work has profoundly advanced the design and control of robotic manipulators, particularly through the application of adaptive and hybrid intelligent controllers. Al Mashhadany has pioneered the integration of Adaptive Neuro-Fuzzy Inference Systems (ANFIS) with fractional-order PID controllers to address the nonlinear dynamics and uncertainties inherent in multi-degree-of-freedom robotic arms, including the widely studied PUMA 560 and complex 7-DOF human-link manipulators. A distinctive hallmark of his research is the use of virtual reality environments for trajectory simulation and verification, bridging computational modeling with real-time industrial application. His most-cited works, accumulating tens to nearly forty citations each, demonstrate sustained influence across robotics and automation communities. Beyond robotics, his recent publications on nanophotonic catheters and cloud-based IoT irrigation systems reveal a versatile scientific mind engaging with biomedical sensing and precision agriculture. His 2022 comprehensive review of intelligent control systems further cements his role as a thoughtful synthesizer of knowledge in autonomous robotics, making his body of work essential reading for students entering the field.

Research Focus

Key Achievements

12
H-Index
24
Papers
397
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Controller for 7-DOF Manipulator Based upon Virtual Reality Model
38 citations · 2019
📈 Most Prolific Year: 2024 (6 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: University of Anbar

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago