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Bawar Iftikhar

Applications of Gene Expression Programming and Regression Techniques for Estimating Compressive Strength of Bagasse Ash based Concrete
2020 · Muhammad Faisal Javed, Muhammad Nasir Amin, et al. · Crystals · 172
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Predictive modeling of compressive strength of sustainable rice husk ash concrete: Ensemble learner optimization and comparison
2022 · Bawar Iftikhar, Sophia C. Alih, et al. · Journal of Cleaner Production · 160
Prediction model for rice husk ash concrete using AI approach: Boosting and bagging algorithms
2023 · Muhammad Nasir Amin, Bawar Iftikhar, et al. · Structures · 141
Experimental study on the eco-friendly plastic-sand paver blocks by utilising plastic waste and basalt fibers
2023 · Bawar Iftikhar, Sophia C. Alih, et al. · Heliyon · 77
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Predicting compressive strength of eco-friendly plastic sand paver blocks using gene expression and artificial intelligence programming
2023 · Bawar Iftikhar, Sophia C. Alih, et al. · Scientific Reports · 49
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An overview on spalling behavior, mechanism, residual strength and microstructure of fiber reinforced concrete under high temperatures
2023 · Fang Gong, Xi Jiang, et al. · Frontiers in Materials · 40
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Predictive modelling for the acid resistance of cement-based composites modified with eggshell and glass waste for sustainable and resilient building materials
2023 · Zhiqiang Chen, Muhammad Nasir Amin, et al. · Journal of Building Engineering · 38
Towards modern sustainable construction materials: a bibliographic analysis of engineered geopolymer composites
2023 · Yin Zhang, Huihong Li, et al. · Frontiers in Materials · 33
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An overview of recent advancements in fibre-reinforced 3D printing concrete
2023 · Yi Zhou, Fadi Althoey, et al. · Frontiers in Materials · 31
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A machine learning-based genetic programming approach for the sustainable production of plastic sand paver blocks
2023 · Bawar Iftikhar, Sophia C. Alih, et al. · Journal of Materials Research and Technology · 29
Artificial intelligence-based optimized models for predicting the slump and compressive strength of sustainable alkali-derived concrete
2023 · Baoping Zou, Yanbing Wang, et al. · Construction and Building Materials · 28
Prediction of compressive strength of two-stage (preplaced aggregate) concrete using gene expression programming and random forest
2023 · Hisham Jahangir Qureshi, Mana Alyami, et al. · Case Studies in Construction Materials · 28
Sustainable use of plastic waste in plastic sand paver blocks: An experimental and modelling-based study
2024 · Bawar Iftikhar, Sophia C. Alih, et al. · Structures · 23
A scientometric analysis approach on the plastic sand
2023 · Bawar Iftikhar, Sophia C. Alih, et al. · Heliyon · 23
Investigating the effectiveness of carbon nanotubes for the compressive strength of concrete using AI-aided tools
2024 · Han Sun, Muhammad Nasir Amin, et al. · Case Studies in Construction Materials · 21
Strength evaluation of eco-friendly waste-derived self-compacting concrete via interpretable genetic-based machine learning models
2023 · Zhiqiang Chen, Bawar Iftikhar, et al. · Materials Today Communications · 19
Data-driven strategy for evaluating the response of eco-friendly concrete at elevated temperatures for fire resistance construction
2023 · Fahad Alsharari, Bawar Iftikhar, et al. · Results in Engineering · 17
Analyzing the efficacy of waste marble and glass powder for the compressive strength of self-compacting concrete using machine learning strategies
2024 · Qing Tao Guan, Zhong Ling Tong, et al. · REVIEWS ON ADVANCED MATERIALS SCIENCE · 16
Fresh state and strength performance evaluation of slag-based alkali-activated concrete using soft-computing methods
2023 · Yingjie Li, Genhui Wang, et al. · Materials Today Communications · 8
Predicting strength in polypropylene fiber reinforced rubberized concrete using symbolic regression AI techniques
2025 · Ahmed A. Alawi Al-Naghi, Kinza Aamir, et al. · Case Studies in Construction Materials · 7
Advanced explainable models for strength evaluation of self-compacting concrete modified with supplementary glass and marble powders
2025 · Kaffayatullah Khan, Muhammad Ehsan Ullah Khan, et al. · REVIEWS ON ADVANCED MATERIALS SCIENCE · 5
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Foamed geopolymers as low carbon materials for fire-resistant and lightweight applications in construction: A review
2025 · Muhammad Nasir Amin, Bawar Iftikhar, et al. · REVIEWS ON ADVANCED MATERIALS SCIENCE · 4
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RETRACTED: Bio-inspired based meta-heuristic approach for predicting the strength of fiber-reinforced based strain hardening cementitious composites
2023 · Yasar Khan, Adeel Zafar, et al. · Heliyon · 3
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Analyzing the compressive strength, eco-strength, and cost–strength ratio of agro-waste-derived concrete using advanced machine learning methods
2025 · Muhammad Nasir Amin, Bawar Iftikhar, et al. · REVIEWS ON ADVANCED MATERIALS SCIENCE · 2
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Experimental and explainable machine learning assessment of flexural strength in cement-free plastic–sand composites
2026 · Bawar Iftikhar, Qiang Li, et al. · Case Studies in Construction Materials · 1
Works count: 35
Citation count: 975
H-index: 17
I10-index: 18
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