Ayaz Ahmad

COMSATS University Islamabad — Pakistan

Engineering · Physical Sciences

40h-index4.7kcitations65works4.42yr avg
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Research Topics

Innovative concrete reinforcement materials(50), Concrete and Cement Materials Research(40), Recycled Aggregate Concrete Performance(27), Infrastructure Maintenance and Monitoring(14), Structural Behavior of Reinforced Concrete(8)

Publications65 total

Online Consumer Experience: A Systematic Literature Review
SSRN Electronic Journal·2026Open Access
Correction: Yuan et al. Machine Learning Prediction Models to Evaluate the Strength of Recycled Aggregate Concrete. Materials 2022, 15, 2823
Materials·2025Open Access
Chloride durability and CO₂ footprint in marine-grade concrete via intelligent AI-based multi-objective modeling
Case Studies in Construction Materials·2025Open Access
Sustainable optimisation of GGBS-based concrete: De-risking mix design through predictive machine learning models
Case Studies in Construction Materials·2025· 5 citedOpen Access
Next-generation cutting-edge hybrid AI frameworks for predicting rheological properties and CO₂ emissions in alkali-activated concrete
Case Studies in Construction Materials·2025Open Access
AI-powered optimization of engineered cementitious composites properties and CO₂ emissions for sustainable construction
Case Studies in Construction Materials·2025· 4 citedOpen Access
Precision assessment of the machine learning tools for the strength optimization of environmental-friendly lightweight foam concrete
Journal of Environmental Management·2024· 5 citedOpen Access
Investigating the compressive property of foamcrete and analyzing the feature interaction using modeling approaches
Results in Engineering·2024· 5 citedOpen Access
Comparative study of statistical computational approaches to investigate the degraded compressive strength of concrete under the freeze-thaw effect
Case Studies in Construction Materials·2024· 1 citedOpen Access
Analyzing chloride diffusion for durability predictions of concrete using contemporary machine learning strategies
Materials Today Communications·2024· 20 cited
Data-driven approaches for strength prediction of alkali-activated composites
Case Studies in Construction Materials·2024· 9 citedOpen Access
Compressive and tensile strength estimation of sustainable geopolymer concrete using contemporary boosting ensemble techniques
REVIEWS ON ADVANCED MATERIALS SCIENCE·2024· 4 citedOpen Access
Exploring the resilience of supplementary cementitious materials-based concrete to elevated temperatures via modern computing techniques
Materials Today Communications·2023· 6 cited
Strength evaluation of eco-friendly waste-derived self-compacting concrete via interpretable genetic-based machine learning models
Materials Today Communications·2023· 15 cited
Predicting the damage to cementitious composites due to acid attack and evaluating the effectiveness of eggshell powder using interpretable artificial intelligence models
Materials Today Communications·2023· 5 cited
Navigating Power System Congestion: An In-Depth Review of Traditional and Artificial Intelligence-Driven Approaches
2023· 6 cited
Recent advancements and future trends in 3D concrete printing using waste materials
Developments in the Built Environment·2023· 107 citedOpen Access
Predicting the crack width of the engineered cementitious materials via standard machine learning algorithms
Journal of Materials Research and Technology·2023· 24 citedOpen Access
Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder
Case Studies in Construction Materials·2022· 54 citedOpen Access
Performance characteristics of cementitious composites modified with silica fume: A systematic review
Case Studies in Construction Materials·2022· 70 citedOpen Access
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Frequent Co-authors

Waqas Ahmad(37), Muhammad Nasir Amin(21), Fahid Aslam(19), Kaffayatullah Khan(19), Krzysztof Adam Ostrowski(13), Panuwat Joyklad(11), Sohaib Nazar(7), Furqan Farooq(5), Ahmed Farouk Deifalla(5), Anas Abdulalim Alabdullah(5), Abdeliazim Mustafa Mohamed(4), Mohammed Najeeb Al-Hashem(4), Muhammad Sufian(3), Nikolai Vatin(3), Afnan Nafees(3), Paulina Zajdel(3), Fadi Althoey(3), Hongwei Song(2), Mariusz Maślak(2), Sławomir Czarnecki(2)