Bio
We haven't found any bio for you yet.
Researcher Links
Loading links...
Publications by Type
Loading publications…
The last 5 uploaded publications
AI-Powered Optimization of Engineered Cementitious Composites Properties and CO₂ Emissions for Sustainable Construction
Ali Alateah, Sadiq Alinsaif, Muhammad Sufian, Ayaz Ahmad, Qiuying Chang, Chuanhai Zhao (2025). AI-Powered Optimization of Engineered Cementitious Composites Properties and CO₂ Emissions for Sustainable Construction. , DOI: https://doi.org/10.1016/j.cscm.2025.e04405.
Article236 days agoNext-Generation Cutting-Edge Hybrid AI Frameworks for Predicting Rheological Properties and CO₂ Emissions in Alkali-Activated Concrete
Lu Zhang, Kangning Liu, Ali Alateah, Sadiq Alinsaif, Muhammad Sufian, Ayaz Ahmad (2025). Next-Generation Cutting-Edge Hybrid AI Frameworks for Predicting Rheological Properties and CO₂ Emissions in Alkali-Activated Concrete. , DOI: https://doi.org/10.1016/j.cscm.2025.e04754.
Article236 days agoPrediction of Ultra-High-Performance Concrete (UHPC) Properties Using Gene Expression Programming (GEP)
Yunfeng Qian, Jianyu Yang, Weijun Yang, Ali Alateah, Ali Alsubeai, Abdulgafor Alfares, Muhammad Sufian (2024). Prediction of Ultra-High-Performance Concrete (UHPC) Properties Using Gene Expression Programming (GEP). , 14(9), DOI: https://doi.org/10.3390/buildings14092675.
Article236 days agoEvaluation of Machine Learning and Traditional Methods for Estimating Compressive Strength of UHPC
Tianlong Li, Pengxiao Jiang, Yunfeng Qian, Jianyu Yang, Ali Alateah, Ali Alsubeai, Abdulgafor Alfares, Muhammad Sufian (2024). Evaluation of Machine Learning and Traditional Methods for Estimating Compressive Strength of UHPC. , 14(9), DOI: https://doi.org/10.3390/buildings14092693.
Article236 days agoPredicting High-Strength Concrete’s Compressive Strength: A Comparative Study of Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, and Response Surface Methodology
Tianlong Li, Jianyu Yang, Pengxiao Jiang, Ali Alateah, Ali Alsubeai, Abdulgafor Alfares, Muhammad Sufian (2024). Predicting High-Strength Concrete’s Compressive Strength: A Comparative Study of Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, and Response Surface Methodology. , 17(18), DOI: https://doi.org/10.3390/ma17184533.
Article236 days ago