Research Excellence Award
Reyad EL KHAZALI — Khalifa University, United Arab Emirates
Reyad El-Khazali is an Associate Professor at Khalifa University whose academic work encompasses control engineering, fractional-order systems, signal processing, mechatronics, power systems and related engineering applications. Khalifa University’s institutional profile confirms his academic appointment and doctoral training in control engineering. [1]
Abstract
The Research Excellence Award profile recognizes Reyad El-Khazali for an established academic record in electrical and control engineering. His documented research includes fractional-order control, signal processing, mechatronics, power systems and related engineering applications. His publication activity and academic appointment at Khalifa University provide a basis for evaluating his research record within a robotics and automation recognition framework.[2]
Keywords
Research Excellence Award; Reyad El-Khazali; Khalifa University; control engineering; fractional-order systems; signal processing; mechatronics; power systems; robotics and automation; artificial intelligence; robot perception.
Introduction
Reyad El-Khazali is an Associate Professor at Khalifa University with a research background in electrical engineering and control engineering. His documented interests include nonlinear and fractional control, mechatronics, communication and digital signal processing, and fractional chaotic systems. His work provides an engineering foundation relevant to intelligent and automated systems. [1]
Research Profile
El-Khazali’s research profile spans control systems, fractional-order dynamics, signal processing, mechatronics, power systems and drone-related applications. Independent scholarly records also identify his work in fractional-order controllers and related mathematical models. These areas intersect with robotics through system modelling, feedback control, sensing, signal processing and autonomous-system engineering. [3]
Research Contributions
A notable contribution of El-Khazali’s research is the application of fractional-order methods to engineering control and signal-processing problems. His published work includes a fractional-order digital phase-locked loop and studies of fractional-order operators. Such research contributes theoretical and computational approaches that can support stable, responsive and mathematically informed automated systems. [2]
Publications
El-Khazali has published research across control engineering and related electrical-engineering fields. A documented publication, “Fractional-order digital phase-locked loop,” appeared in the proceedings of ICECS 2007 and is indexed with DOI 10.1109/ICECS.2007.4511152. More recent records also document his participation in research on AI-enabled drones for date-palm pollination. [1]
Research Impact
The supplied research metrics list 81 documents, 1,645 citations and an h-index of 20. These figures indicate a substantial scholarly publication and citation record, although bibliometric values can change as databases update. His institutional affiliation and continuing research activity provide additional context for assessing the academic reach of his work. [2]
Award Suitability
El-Khazali’s documented academic career, research output and work in control, signal processing, mechatronics and intelligent aerial-system applications provide relevant evidence for consideration under a research-excellence framework. Suitability for an AI-Based Robot Perception award should additionally be evaluated against the award’s specific criteria and verified evidence directly connecting his publications to robot perception.[3]
Conclusion
Reyad El-Khazali presents an established academic profile in electrical and control engineering, supported by research publications, institutional experience and documented scholarly impact. His work intersects with automation through control, signal processing, mechatronics and aerial-system applications. These characteristics provide a reasonable academic basis for consideration for research-excellence recognition. [1]
External Links
References
- Fractional-order dynamical models of love
https://www.researchgate.net/publication/229331672_Fractional-order_dynamical_models_of_love
- The General Solution of Singular Fractional-Order Linear Time-Invariant Continuous Systems with Regular Pencils
https://www.mdpi.com/1099-4300/20/6/400
- AI-enabled drones for date palm pollination
https://www.nature.com/articles/s41598-026-39739-2