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Jawad Ashraf

Predicting the compressive strength of fiber-reinforced self-consolidating concrete using a hybrid machine learning approach
2024 · Turki S. Alahmari, Jawad Ashraf, et al. · Innovative Infrastructure Solutions · 44
Microstructural behavior and explainable machine learning aided mechanical strength prediction and optimization of recycled glass-based solid waste concrete
2025 · Md. Habibur Rahman Sobuz, Md. Kawsarul Islam Kabbo, et al. · Case Studies in Construction Materials · 38
Making a Real-Time IoT Network Intrusion-Detection System (INIDS) Using a Realistic BoT–IoT Dataset with Multiple Machine-Learning Classifiers
2025 · Jawad Ashraf, Ghulam Musa Raza, et al. · Applied Sciences · 32
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Effect of silica fume on the microstructural and mechanical properties of concrete made with 100% recycled aggregates
2024 · Farhan Nadim, Rakibul Hasan, et al. · 29
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Enhancing Sustainable Concrete Production by Utilizing Fly Ash and Recycled Concrete Aggregate with Experimental Investigation and Machine Learning Modeling
2024 · Md. Habibur Rahman Sobuz, Jannat Ara Jabin, et al. · Journal of Building Pathology and Rehabilitation · 27
Multiple machine learning models for predicting annual energy consumption and demand of office buildings in subtropical monsoon climate
2024 · Jawad Ashraf, Rafi Azam, et al. · Asian Journal of Civil Engineering · 14
Supervised machine learning driven analysis of compressive strength in concrete incorporating sustainable sludge with SHAP and PDP analyses
2026 · Mohammad Alharthai, Fahim Shahriyar Aditto, et al. · Matéria (Rio de Janeiro)
Experimental and Machine Learning Analysis of Self‐Compacting Concrete Made With Metalized Waste Plastic Fiber and Clay Brick Powder
2026 · Shuvo Dip Datta, Fahmied Sahriea, et al. · Journal of Engineering
Works count: 9
Citation count: 203
H-index: 7
I10-index: 7
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