Hisham ElMoaqet
Papers
8
Total Citations
95
H-Index
3
About
Hisham ElMoaqet is an accomplished researcher whose work sits at the dynamic intersection of robotics, mechatronics, and intelligent systems. His scholarship spans several interconnected domains, including Industry 4.0 integration, autonomous mobile robots, deep learning-based perception, and advanced control systems — areas where he has consistently produced impactful contributions that bridge theory and real-world application. ElMoaqet's most influential work, "The Integration of Advanced Mechatronic Systems into Industry 4.0 for Smart Manufacturing" (2024, 47 citations), has rapidly established itself as a key reference in the smart manufacturing field, reflecting his ability to synthesize complex technological trends into accessible, forward-looking frameworks. His 2025 comprehensive review of robotics research and education (21 citations) further demonstrates his commitment to shaping the next generation of engineers and researchers. Earlier foundational contributions, such as his work on Adaptive Interconnection and Damping Assignment Passivity Based Control (2020, 18 citations), highlight his depth in control theory for underactuated mechanical systems. More recently, ElMoaqet has explored cutting-edge applications including hybrid aerial-ground robots, GAN-based domain adaptation for warehouse perception, and IMU-driven deep learning for surface classification — signaling a researcher who continually pushes boundaries. His growing citation record and diverse publication portfolio make him an increasingly authoritative voice in modern robotics and autonomous systems research.
Research Focus
Key Achievements
Top Papers
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- 6IoT-aided Smart Lawnmower2 citations · 2019
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