Published Researchs

Research TitleMAG. TITLERESEARCH AREAPUBLISH YEARDOIJournal URL
A comparative study of LightGBM, XGBoost, and GEP models in shear strength management of SFRC-SBWS StructuresConstruction Management 2024  Visit URL
Finite Element Modelling of Circular Concrete-Filled Steel Tubular Columns Under Quasi-Static Axial Compression LoadingJournal of Composites ScienceStructural Engineering2024  Visit URL
Shear Strength of Steel Fiber-Reinforced Concrete Beams and One-Way SlabsACI Structural JournalStructural Engineering2024  Visit URL
A Horizontal Stiffener Detailing for Shear Links at the Link-to-Column Connection in Eccentrically Braced FramesJournal of Structural EngineeringStructural Engineering2023  Visit URL
A New Reinforcing Configuration for Achieving High-Ductility and High-Strength Rectangular Squat Structural WallsACI Structural JournalStructural Engineering2023  Visit URL
A comparative study of shear strength prediction models for SFRC deep beams without stirrups using Machine learning algorithmsStructuresConstruction Management 2023  Visit URL
Automated analysis and design for recycled aggregate reinforced concrete beamsStructural concrete Structural engineering2023  Visit URL
Data-driven machine learning methodology for designing slender FRP-RC columnsStructuresStructural Engineering2023  Visit URL
Exploring the efficacy of machine learning models for predicting soil radon exhalation ratesStochastic Environmental Research and Risk AssessmentMachine Learning2023  Visit URL
Fatigue behavior of unidirectional fiber-reinforced pultruded composites with high volume fiber fractionFatigue and Fracture of Engineering Materials and StructuresStructural Engineering2023  Visit URL
Hybrid Data-Driven Machine Learning Framework for Determining Prestressed Concrete Losses Arabian Journal for Science and EngineeringStructural Engineering2023  Visit URL
Machine learning-based models for predicting the shear strength of synthetic fiber reinforced concrete beams without stirrupsStructuresStructural Engineering2023  Visit URL
MachineLearningRegressionAlgorithmsforShearStrength PredictionofSFRC-DBs:PerformanceEvaluationandComparisonsArabian Journal for Science and EngineeringMachine Learning and Civil Engineering2023  Visit URL
Modified Shear Design Model for Steel and Fiber- Reinforced Polymer-Reinforced Concrete BeamsACI STRUCTURAL JOURNALStructural Engineering2023  Visit URL
Shear Strength Prediction of Concrete Beams Reinforced with FRP Bars and Stirrups Using Gene Expression ProgrammingsustainabilityStructural engineering 2023  Visit URL
Shear strength of circular concrete-filled tube (CCFT) members using human-guided artificial intelligence approachEngineering StructuresStructural Engineering 2023  Visit URL
Simple Truss Model to estimate the shear strength of short links in the Eccentrically Braced Frame (EBF) steel systemThin-Walled StructuresStructural Engineering2023  Visit URL
Slope displacement detection in construction: An automated management algorithm for disaster preventionExpert Systems With ApplicationsConstruction Management 2023  Visit URL
Structural performance of buried reinforced concrete pipelines under deep embankment soilConstruction InnovationStructural Engineering2023  Visit URL
Sustainability of Using Steel Fibers in Reinforced Concrete Deep Beams without StirrupsSustainabilityStructural Engineering2023  Visit URL
ColumnsNet: Neural Network Model for Constructing Interaction Diagrams and Slenderness Limit for FRP-RC ColumnsJournal of Structural EngineeringStructural Engineering/ Fiber-reinforced concrete2022  Visit URL
Data-Driven Flexural Stiffness Model of FRP-Reinforced Concrete Slender ColumnsJournal of Composites for ConstructionStructural Engineering2022  Visit URL
Evaluating the Impact of External Support on Green Building Construction Cost: A Hybrid Mathematical and Machine Learning Prediction ApproachBuildingsConstruction management2022  Visit URL
Extreme Gradient Boosting-Based Machine Learning Approach for Green Building Cost PredictionSustainabilityConstruction management and building 2022  Visit URL
Forecasting Liquidated Damages via Machine Learning-Based Modified Regression Models for Highway Construction ProjectsSustainabilityConstruction management2022  Visit URL
Gene expression model to estimate the overstrength ratio of short linksStructuresStructural Engineering2022  Visit URL
Machine Learning Algorithm for Shear Strength Prediction of Short Links for Steel BuildingsBuildingsStructural Engineering2022  Visit URL
Machine Learning Prediction Model for Shear Capacity of FRP-RC Slender and Deep BeamsSustainabilityStructural Engineering2022  Visit URL
Machine Learning-Based Model for Predicting the Shear Strength of Slender Reinforced Concrete Beams without StirrupsBuildingsConstruction management2022  Visit URL
Multiobjective and multivariable optimization for earthmoving equipmentJournal of Facilities ManagementConstruction management2022  Visit URL
Optimization of the Structural Performance of Buried Reinforced Concrete Pipelines in Cohesionless SoilsMaterialsConstruction management and infrastructure2022  Visit URL
Prediction Liquidated Damages via Ensemble Machine Learning Model: Towards Sustainable Highway Construction ProjectsSustainabilityConstruction management2022  Visit URL
Slenderness limit of FRP-confined rectangular concrete columns Structuresstructural engineering 2022  Visit URL
You only design once (YODO): Gaussian Process-Batch Bayesian optimization framework for mixture design of ultra high performance concreteConstruction and Building Materials Structural and material engineering 2022  Visit URL
Effect of Fiber-Reinforced Polymer-Compression Reinforcement in Columns Subjected to Concentric and Eccentric LoadingACI Structural JournalStructural Engineering2021  Visit URL
Innovative and reliable model for shear strength of steel fibers reinforced concrete beamsStructuresStructural Engineering2021  Visit URL
Structural Behavior of Concrete Box Culverts under Deep BurialJournal of Pipeline Systems Engineering and PracticeStructural Engineering2017  Visit URL