Innovative Research Award
Ahmed Fouly
King Saud University
Ahmed Fouly, affiliated with King Saud University in Saudi Arabia, has developed a multidisciplinary research profile spanning mechatronics, robotics, autonomous systems, tactile sensing, materials engineering, tribology, and computational design. His academic work connects robotic system development with mechanical engineering, sensing technologies, optimization, and advanced materials. His research interests and scholarly activities demonstrate an engineering-oriented approach to developing intelligent systems and solving practical problems involving robotic mechanisms, sensing, material behavior, and computational analysis.[1]
Abstract
Ahmed Fouly’s research encompasses mechatronics, robotics, autonomous systems, tactile sensing, advanced materials, tribology, and computational engineering. His scholarly activities address robotic path planning, climbing-robot development, micro-tactile sensing, composite materials, topology optimization, and computational approaches to engineering-property prediction. These research areas combine mechanical design, sensing, modelling, optimization, and intelligent computational methods to address practical engineering challenges. His academic specialization in mechatronics and robotics engineering provides a multidisciplinary foundation for developing and evaluating robotic and intelligent mechanical systems. His research profile therefore reflects continued engagement with emerging engineering technologies and interdisciplinary approaches relevant to modern robotics and electrical engineering applications.[1][2]
Keywords
Mechatronics, Robotics, Autonomous Systems, Robotic Path Planning, Climbing Robots, Tactile Sensors, Mechanical Design, Topology Optimization, Composite Materials, Tribology, Artificial Intelligence, Microfabrication, Engineering Materials, Intelligent Mechanical Systems
Introduction
Modern robotics increasingly integrates mechanical engineering, sensing, control, materials science, optimization, and computational intelligence. Research in these areas supports the development of autonomous machines capable of operating efficiently in complex environments while responding to physical and operational constraints. Ahmed Fouly’s academic profile reflects this interdisciplinary direction through research involving robotic mechanisms, tactile sensing, path planning, composite structures, tribological behavior, and computational engineering. His work connects fundamental engineering analysis with application-oriented development of robotic and intelligent mechanical systems.[1]
Research Profile
Ahmed Fouly maintains a research profile centered on mechatronics and robotics engineering with complementary interests in materials, tribology, sensing, actuators, finite-element analysis, and topology optimization. His research activities demonstrate the integration of mechanical modelling and experimental investigation with computational techniques. The combination of robotics, sensing, advanced materials, and optimization enables investigations into both robotic-system performance and the engineering properties of materials used in intelligent mechanical applications.[1]
Research Contributions
Fouly’s research contributions include investigations into tactile sensing, robotic path planning, climbing-robot structures, composite materials, and topology optimization. His work on tactile sensors examines approaches for measuring mechanical characteristics through microscale sensing, while his robotics studies address path refinement and robotic mobility. Research involving composite structures and topology optimization further explores methods for improving robotic-system design through appropriate material selection, structural configuration, and computational analysis.[3][4]
Publications
The available publication record associated with Ahmed Fouly includes research addressing robotic path planning, tactile sensing, climbing robots, composite materials, and tribological-property prediction. His publications demonstrate an interdisciplinary research strategy in which mechanical engineering principles are combined with robotics, sensing, computational modelling, and advanced materials. The documented work includes studies of obstacle-guided path refinement for robotic manipulators, micro-tactile sensing, and energy-efficient climbing-robot configurations based on composite structures.[1][4][5]
Research Impact
The research impact of Ahmed Fouly can be considered through its relevance to robotic sensing, autonomous mobility, intelligent mechanical design, and engineering materials. Tactile sensing research can contribute to systems requiring contact and stiffness information, while robotic path-planning studies address navigation and motion-generation challenges. Research into climbing robots and composite structures also considers structural efficiency and energy-conscious robotic design, providing potential applications in specialized robotic platforms and automated inspection environments.[3][5]
Award Suitability
The Innovative Research Award is intended to recognize research demonstrating originality, technical development, and meaningful scientific contribution. Ahmed Fouly’s multidisciplinary research profile aligns with these objectives through its combination of robotics, mechatronics, sensing, advanced materials, computational modelling, and optimization. His documented research addresses practical engineering problems involving robotic mobility, tactile measurement, structural design, and material performance, providing a relevant basis for recognition within contemporary engineering research and innovation.[1][5]
Conclusion
Ahmed Fouly’s academic profile demonstrates interdisciplinary research across mechatronics, robotics, autonomous systems, tactile sensing, materials engineering, tribology, and computational design. His research connects mechanical analysis with robotic applications and emerging computational approaches, including path planning, structural optimization, sensing, and material-property prediction. The breadth of these activities and their relevance to intelligent engineering systems provide a coherent foundation for recognition through the Innovative Research Award in the field of contemporary engineering and robotics.
External Links
References
- Elsevier. (n.d.). Scopus author details: Ahmed Fouly, Author ID 59573587400. Scopus.
https://www.scopus.com/pages/authors/59573587400
- Google Scholar. (n.d.). Ahmed Fouly Citation Profile. Google Scholar.
https://scholar.google.com/citations?user=kFtpe9wAAAAJ&hl=en
- Ahmed Fouly. Design and Modeling of Micro Tactile Sensor with Three Contact Tips for Self-Compensation of Contact Error in Soft Tissue Elasticity Measurement.
https://doi.org/10.1002/tee.22175
- A Fouly, AMR FathEl-Bab, MNA Nasr, AA Abouelsoud. (2017). Modeling and experimental testing of three-tip configuration tactile sensor for compensating the error due to soft tissue surface irregularities during stiffness detection.
https://doi.org/10.1016/j.measurement.2016.11.032
- Abouhussein, O., & Fouly Mohamed, A. (2025). Energy-efficient propeller-driven climbing robot design based on glass-fiber reinforced polymer. Polimery, 70(7–8), 455–467.
https://doi.org/10.14314/polimery.2025.7.3