| 1. |
M.Izhar,M.Faisal Application of random forest for modelling of surface water salinity, Ain Shams Engineering Journal, 2022 |
| 2. |
M.Izhar,M.Faisal Eco-Friendly Incorporation of Crumb Rubber and Waste Bagasse Ash in Bituminous Concrete Mix, Materials, 2022 |
| 3. |
M.Izhar,M.Faisal Comparative Assessment of Individual and Ensemble Machine Learning Models for Efficient Analysis of River Water Quality, Sustainability, 2022 |
| 4. |
M.Izhar,M.Faisal Machine learning modeling integrating experimental analysis for predicting the properties of sugarcane bagasse ash concrete, Construction and Building Materials, 2022 |
| 5. |
M.Izhar Predictive Modeling Approach for Surface Water Quality: Development and Comparison of Machine Learning Models, Sustainability, 2021 |
| 6. |
M.Izhar Environmental assessment based surface water quality prediction using hyper-parameter optimized machine learning models based on consistent big data, Process Safety and Environmental Protection, 2021 |
| 7. |
M.Izhar Modeling Surface Water Quality Using the Adaptive Neuro-Fuzzy Inference System Aided by Input Optimization, Sustainability, 2021 |
| 8. |
M.Izhar,M.Faisal Performance Evaluation of Soft Computing for Modeling the Strength Properties of Waste Substitute Green Concrete, Sustainability, 2021 |
| 9. |
M.Izhar,M.Faisal,S. A. Memon Machine Learning-Based Modeling with Optimization Algorithm for Predicting Mechanical Properties of Sustainable Concrete, Advances in Civil Engineering, 2021 |
| 10. |
M.Izhar,M.Faisal,Taher Abunama Proposed formulation of surface water quality and modelling using gene expression, machine learning, and regression techniques., Environmental Science and Pollution Research, 2020 |
| 11. |
M.Faisal,Kaffayatullah Khan,Fahid Aslam ,Rayed Alyousef,Hisham Alabduljabbar ,M.Izhar,Furqan Farooq,B.Iftikhar,Muhammad Nasir Amin Applications of Gene Expression Programming and Regression Techniques for Estimating Compressive Strength of Bagasse Ash based Concrete, Crystals, 2020 |
| 12. |
M.Izhar,Asim Jahangir Khan,Quazi K. Hassan,Asif Khan,T.A.Akbar,Ashraf Dewan Predicting hydrologic responses to climate changes in highly glacierized and mountainous region Upper Indus Basin., Royal Society open science, 2020 |
Lab Engineer (Study Leave), Civil Engineering