Dr Abdulaziz Aldawish
Teams and roles for Abdulaziz Aldawish
Research student
Publication
2026
- Alkheder, S. and Aldawish, A. 2026. Estimating truck gate demand under data scarcity: A provenance audit and profile-based disaggregation framework for Shuwaikh Port, Kuwait. Logistics 10 (10) 224. (10.3390/logistics10100224)
- Aldawish, A. et al. 2026. Temperature-adaptive activation energy for maturity-based strength prediction of sustainable, SCM-blended self-compacting concrete. Materials 19 (16) 3462. (10.3390/ma19163462)
- Aldawish, A. and Kulasegaram, S. 2026. Sustainability-focused evaluation of self-compacting concrete: Integrating explainable machine learning and mix design optimization. Applied Sciences 16 (3) 1460. (10.3390/app16031460)
- Aldawish, A. 2026. Sustainable design of self-compacting concrete integrating explainable machine learning, physics-based maturity models, and multi-objective optimisation. PhD Thesis , Cardiff University.
2024
- Aldawish, A. and Kulasegaram, S. 2024. Predictive modeling for self-compacting concrete: evaluating machine learning approaches in real-world construction scenarios. Presented at: 4th fib International Conference on Concrete Sustainability (ICCS2024) Guimarães, Portugal 11–13 September 2024. Published in: Barros, J. A. O. et al., 4th fib International Conference on Concrete Sustainability (ICCS2024). Lecture Notes in Civil Engineering Vol. 573. Springer Nature Switzerland. , pp.236-242. (10.1007/978-3-031-80672-8_29)
Articles
- Alkheder, S. and Aldawish, A. 2026. Estimating truck gate demand under data scarcity: A provenance audit and profile-based disaggregation framework for Shuwaikh Port, Kuwait. Logistics 10 (10) 224. (10.3390/logistics10100224)
- Aldawish, A. et al. 2026. Temperature-adaptive activation energy for maturity-based strength prediction of sustainable, SCM-blended self-compacting concrete. Materials 19 (16) 3462. (10.3390/ma19163462)
- Aldawish, A. and Kulasegaram, S. 2026. Sustainability-focused evaluation of self-compacting concrete: Integrating explainable machine learning and mix design optimization. Applied Sciences 16 (3) 1460. (10.3390/app16031460)
Conferences
- Aldawish, A. and Kulasegaram, S. 2024. Predictive modeling for self-compacting concrete: evaluating machine learning approaches in real-world construction scenarios. Presented at: 4th fib International Conference on Concrete Sustainability (ICCS2024) Guimarães, Portugal 11–13 September 2024. Published in: Barros, J. A. O. et al., 4th fib International Conference on Concrete Sustainability (ICCS2024). Lecture Notes in Civil Engineering Vol. 573. Springer Nature Switzerland. , pp.236-242. (10.1007/978-3-031-80672-8_29)
