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Faculty Profile

  /  Faculty Profile

Engr. Ayaz Ahmad

Lecturer(on Study Leave)
Area of Interest: Structural Engineering
Email: ayazahmad@cuiatd.edu.pk
Phone: 0992-383591-5
 
Academics/ Degrees
MS Structural Engineering, CECOS University of IT and emerging Sciences, Peshawar
BSc in Civil Engineering, University of South Asia Lahore
HSSC (Pre-engineering), BISE Peshawar, 
SSC, BISE Abbottabad
 
Journal Publications
1. Ayaz. Ahmad,M.Faisal Prediction of Compressive Strength of Fly-Ash-Based Concrete Using Ensemble and Non-Ensemble Supervised Machine-Learning Approaches, Applied Sciences, 2021
2. Waqas Ahmad,Ayaz. Ahmad A systematic review of waste materials in cement-based composites for construction applications, Journal of Building Engineering, 2021
3. Ayaz. Ahmad Prediction of Geopolymer Concrete Compressive Strength Using Novel Machine Learning Algorithms, polymers, 2021
4. Ayaz. Ahmad Application of Advanced Machine Learning Approaches to Predict the Compressive Strength of Concrete Containing Supplementary Cementitious Materials, Materials, 2021
5. Ayaz. Ahmad Predicting the compressive strength of concrete with fly ash admixture using machine learning algorithms, Construction and Building Materials, 2021
6. Waqas Ahmad,Ayaz. Ahmad Sustainable approach of using sugarcane bagasse ash in cement-based composites: A systematic review, Case Studies in Construction Materials, 2021
7. Waqas Ahmad,Ayaz. Ahmad A scientometric review of waste material utilization in concrete for sustainable construction, Case Studies in Construction Materials, 2021
8. Ayaz. Ahmad Analyzing the Compressive Strength of Ceramic Waste-Based Concrete Using Experiment and Artificial Neural Network (ANN) Approach, Materials, 2021
9. Ayaz. Ahmad Comparative Study of Supervised Machine Learning Algorithms for Predicting the Compressive Strength of Concrete at High Temperature, Materials, 2021
10. Ayaz. Ahmad Compressive Strength Prediction via Gene Expression Programming (GEP) and Artificial Neural Network (ANN) for Concrete Containing RCA, Buildings, 2021
11. Ayaz. Ahmad An Experimental and Empirical Study on the Use of Waste Marble Powder in Construction Material, Materials, 2021
12. Furqan Farooq,Ayaz. Ahmad Application of Novel Machine Learning Techniques for Predicting the Surface Chloride Concentration in Concrete Containing Waste Material, Materials, 2021
13. Furqan Farooq,Ayaz. Ahmad Prediction of Compressive Strength of Fly Ash Based Concrete Using Individual and Ensemble Algorithm, Materials, 2021
14. Waqas Ahmad,Ayaz. Ahmad Effect of Coconut Fiber Length and Content on Properties of High Strength Concrete, Materials, 2020