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Muhammad Izhar Shah
Observed names:
M. Izhar Shah,
Muhammad Shah
Institution:
University of Louisiana at Lafayette
Observed institutions:
COMSATS University Islamabad,
University of Malakand,
University of Louisiana at Lafayette,
University of Engineering and Technology Peshawar
ORCID:
0000-0002-0588-6301
Observed ORCID:
0000-0002-0588-6301
OpenAlex ID:
A5084947770
Geopolymer concrete as sustainable material: A state of the art review
2021
·
Furqan Farooq
, Xin Jin
, et al.
·
Construction and Building Materials
·
367
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
·
171
PDF
Proposed formulation of surface water quality and modelling using gene expression, machine learning, and regression techniques
2020
·
Muhammad Izhar Shah
, Muhammad Faisal Javed
, et al.
·
Environmental Science and Pollution Research
·
120
Environmental assessment based surface water quality prediction using hyper-parameter optimized machine learning models based on consistent big data
2021
·
Muhammad Izhar Shah
, Muhammad Faisal Javed
, et al.
·
Process Safety and Environmental Protection
·
92
Use of Processed Sugarcane Bagasse Ash in Concrete as Partial Replacement of Cement: Mechanical and Durability Properties
2022
·
Shazim Ali Memon
, Usman Javed
, et al.
·
Buildings
·
88
PDF
Machine learning modeling integrating experimental analysis for predicting the properties of sugarcane bagasse ash concrete
2021
·
Muhammad Izhar Shah
, Muhammad Faisal Javed
, et al.
·
Construction and Building Materials
·
86
Application of random forest for modelling of surface water salinity
2021
·
Mohsin Ali Khan
, M. Izhar Shah
, et al.
·
Ain Shams Engineering Journal
·
83
PDF
Comparative Assessment of Individual and Ensemble Machine Learning Models for Efficient Analysis of River Water Quality
2022
·
Abdulaziz Alqahtani
, Muhammad Izhar Shah
, et al.
·
Sustainability
·
77
PDF
Predictive Modeling Approach for Surface Water Quality: Development and Comparison of Machine Learning Models
2021
·
Muhammad Izhar Shah
, Wesam Salah Alaloul
, et al.
·
Sustainability
·
77
PDF
Modeling Surface Water Quality Using the Adaptive Neuro-Fuzzy Inference System Aided by Input Optimization
2021
·
Muhammad Izhar Shah
, Taher Abunama
, et al.
·
Sustainability
·
65
PDF
Predicting hydrologic responses to climate changes in highly glacierized and mountainous region Upper Indus Basin
2020
·
Muhammad Izhar Shah
, Asif Khan
, et al.
·
Royal Society Open Science
·
53
Machine Learning‐Based Modeling with Optimization Algorithm for Predicting Mechanical Properties of Sustainable Concrete
2021
·
Muhammad Izhar Shah
, Shazim Ali Memon
, et al.
·
Advances in Civil Engineering
·
52
PDF
Performance Evaluation of Soft Computing for Modeling the Strength Properties of Waste Substitute Green Concrete
2021
·
Muhammad Izhar Shah
, Muhammad Nasir Amin
, et al.
·
Sustainability
·
45
PDF
Multigene Expression Programming Based Forecasting the Hardened Properties of Sustainable Bagasse Ash Concrete
2021
·
Muhammad Nasir Amin
, Kaffayatullah Khan
, et al.
·
Materials
·
26
PDF
Development of a Hydrodynamic-Based Flood-Risk Management Tool for Assessing Redistribution of Expected Annual Damages in a Floodplain
2021
·
Muhammad Atiq Ur Rehman Tariq
, Nitin Muttil
, et al.
·
Water
·
11
PDF
Eco-Friendly Incorporation of Crumb Rubber and Waste Bagasse Ash in Bituminous Concrete Mix
2022
·
Sheraz Ullah
, Muhammad Shah
, et al.
·
Materials
·
8
PDF
A Hydraulic Analysis of Shock Wave Generation Mechanism on Flat Spillway Chutes through Physical Modeling
2021
·
Muhammad Kaleem Sarwar
, Muhammad Atiq Ur Rehman Tariq
, et al.
·
Hydrology
·
5
PDF
Constructing storm hydrographs at ungaged locations in a low-gradient watershed using SWAT calibrated to the NWM
2025
·
Muhammad Izhar Shah
, Emad H. Habib
, et al.
·
Hydrological Sciences Journal
·
3
Climate Change Investigation of Swat River Using HEC-HMS Hydrological Model
2023
·
Waheed Ul Haq
, Muhammad Saqib
, et al.
·
International Journal for Research in Applied Science and Engineering Technology
·
2
PDF
Corrigendum to “Downstream implications of large river diversions on thermal fish habitats in the coastal zone” [Ocean Coast Manag. Vol. 271 (2026) 107959]
2026
·
Muhammad Izhar Shah
, Robert L. Miller
·
Ocean & Coastal Management
Hydrological Modeling with Soil and Water Assessment Tool (SWAT): An Overview
2019
·
Muhammad Izhar Shah
·
International Journal for Research in Applied Science and Engineering Technology
PDF
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Works count:
22
Citation count:
1,432
H-index:
14
I10-index:
15
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