Innovative Research Award
Ayed Alluqmani
Islamic University of Madinah, Saudi Arabia
Ayed Alluqmani is a researcher at the Islamic University of Madinah whose work centres on environmental and sustainable materials, structural engineering, and computational modelling [1]. He is considered here within the framework of the Innovative Research Award, presented under the International Soil Scientist Awards.
Abstract
This article presents a scholarly profile of Ayed Alluqmani, affiliated with the Islamic University of Madinah, in the context of the Innovative Research Award. His publications address sustainable construction materials, advanced composite structures, masonry behaviour, and data-driven environmental prediction. Bibliometric data indicate a sustained publication record and a citation base reflecting engagement from the wider research community [1].
Keywords
Sustainable materials, ultra-high performance concrete, functionally graded materials, finite element analysis, masonry structures, machine learning, rainfall prediction, structural engineering.
Introduction
Sustainable materials research increasingly combines civil engineering, computational mechanics, and environmental science. Within this field, researchers evaluate how construction materials and structural systems can deliver adequate performance while reducing environmental burden. Ayed Alluqmani contributes to this area through collaborative studies published in international journals, with his work indexed in Scopus under author identifier 55622739300 [1].
Research Profile
Alluqmani is affiliated with the Islamic University of Madinah in Saudi Arabia. His subject area is classified here as environmental and sustainable materials, although his publications also extend into structural mechanics and environmental data analysis. Much of his work is co-authored with international collaborators, reflecting the multidisciplinary and collaborative nature of contemporary engineering research.
Research Contributions
- Sustainable concrete technology: a 2023 study in Construction and Building Materials examined eco-friendly ultra-high performance concrete, considering cost, carbon emissions, and structural ductility [3].
- Advanced structural modelling: research in Acta Mechanica applied a p-version finite element method based on third-order shear deformation theory to the free vibration and bending of porous bi-directional functionally graded sandwich shells [4]. A related study in Mechanics Based Design of Structures and Machines analysed porous plates reinforced with carbon nanotubes.
Publications
Selected publications, with citation counts as listed on the Scopus profile, include the following [1]:
- Lakhdar, Z., Chorfi, S. M., Belalia, S. A., Khedher, K. M., Alluqmani, A. E., Tounsi, A., et al. (2024). Free vibration and bending analysis of porous bi-directional FGM sandwich shell using a TSDT p-version finite element method. Acta Mechanica, 235(6), 3657–3686. (255 citations)
- Amran, M., Murali, G., Makul, N., Tang, W. C., & Alluqmani, A. E. (2023). Sustainable development of eco-friendly ultra-high performance concrete (UHPC): Cost, carbon emission, and structural ductility. Construction and Building Materials, 398, 132477. (217 citations)
- Meftah, S. A., Aldosari, S. M., Tounsi, A., Cuong-Le, T., Khedher, K. M., et al. (2024). Simplified homogenization technique for nonlinear finite element analysis of in-plane loaded masonry walls. Engineering Structures, 306, 117822. (152 citations)
Research Impact
The citation profile indicates that several publications have been cited more than one hundred times, with the most cited item reaching 255 citations. Such figures suggest that the studies have been read and used by other researchers in structural mechanics, construction materials, and environmental modelling [1].
Award Suitability
The Innovative Research Award, presented under the International Soil Scientist Awards, recognises research that advances knowledge and offers practical relevance to sustainability and environmental science. Alluqmani’s work on lower-carbon concrete, computational methods for advanced materials, and machine learning for rainfall prediction aligns with these aims [1].
Conclusion
Ayed Alluqmani of the Islamic University of Madinah has built a research record spanning sustainable construction materials, advanced structural modelling, and environmental data analysis. His indexed output and citation profile document a consistent scholarly contribution, and his work reflects the integration of engineering and sustainability themes that the Innovative Research Award seeks to acknowledge.
External Links
References
- Elsevier. (n.d.). Scopus author details: Alluqmani, Ayed, Author ID 55622739300. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=55622739300
- ORCID. (n.d.). Ayed Alluqmani (ORCID iD 0000-0002-6204-7803). ORCID.
https://orcid.org/0000-0002-6204-7803
- Amran, M., Murali, G., Makul, N., Tang, W. C., & Alluqmani, A. E. (2023). Sustainable development of eco-friendly ultra-high performance concrete (UHPC): Cost, carbon emission, and structural ductility. Construction and Building Materials, 398, 132477.
https://doi.org/10.1016/j.conbuildmat.2023.132477
- Lakhdar, Z., Chorfi, S. M., Belalia, S. A., Khedher, K. M., Alluqmani, A. E., Tounsi, A., et al. (2024). Free vibration and bending analysis of porous bi-directional FGM sandwich shell using a TSDT p-version finite element method. Acta Mechanica, 235(6), 3657–3686.
https://doi.org/10.1007/s00707-024-03901-6
- Kumar, V., Kedam, N., Sharma, K. V., Khedher, K. M., & Alluqmani, A. E. (2023). A comparison of machine learning models for predicting rainfall in urban metropolitan cities. Sustainability, 15(18), 13724.
https://doi.org/10.3390/su151813724