Tariq, Zeeshan, Bahadori-Jahromi, Ali ORCID: https://orcid.org/0000-0003-0405-7146, Room, Shah and Al Tekreeti, Marwah
(2026)
Explainable Machine Learning Framework for strength prediction of sustainable concrete incorporating industrial waste SCMS with an embodied impact assessment.
Sustainability, 18 (12).
Room, Shah, Bahadori-Jahromi, Ali ORCID: https://orcid.org/0000-0003-0405-7146, Al Tekreeti, Marwah and Tariq, Zeeshan
(2026)
Experimental investigation and Machine Learning-based prediction and optimization of mechanical properties of Biochar-Enhanced High-Strength concrete.
Sustainability, 18.
Al Tekreeti, Marwah, Bahadori-Jahromi, Ali ORCID: https://orcid.org/0000-0003-0405-7146, Room, Shah and Tariq, Zeeshan
(2026)
Optimized Machine Learning Models for Predicting Compressive, Tensile, and Flexural Strengths of Multi-Fiber Recycled Aggregate Concrete.
Journal of Composites Science, 10 (3).
Tariq, Zeeshan, Bahadori-Jahromi, Ali ORCID: https://orcid.org/0000-0003-0405-7146 and Room, Shah
(2026)
Sustainable incorporation of recycled tire steel and textile fibers as a hybrid mix in concrete.
Sustainability, 18 (2).
Bahadori-Jahromi, Ali ORCID: https://orcid.org/0000-0003-0405-7146, Room, Shah, Paknahad, Chia, Altekreeti, Marwah, Tariq, Zeeshan and Tahayori, Hooman
(2025)
The role of Artificial Intelligence and Machine Learning in advancing civil engineering: a comprehensive review.
Applied sciences, 15 (19).
Tariq, Zeeshan and Bahadori-Jahromi, Ali ORCID: https://orcid.org/0000-0003-0405-7146
(2025)
Incorporating ground granulated blast furnace slag & fly ash in concrete production for sustainable construction: a review.
Engineering Future Sustainability.
pp. 1-30.