Muhammad Sherif

Assistant Professor

The University of Alabama

United States

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Dr. Muhammad Sherif is an Assistant Professor at the University of Alabama at Birmingham, USA. His research focuses on advanced materials and structural engineering, encompassing areas such as pavement crack detection using deep learning, performance analysis of fiber-reinforced composites, and the mechanical characterization of engineered cementitious composites. He also explores machine learning applications in predicting concrete strength and the effects of various materials on structural performance.

Articles (17)

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2024

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2024

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2021

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2021

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2020

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2020

Collaborators (9)

Devin K. Harris

UNITED STATES

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Beckry Abdel-Magid

Professor

Winona State University

UNITED STATES

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Young Hoon Kim

Associate Professor

University of Louisville

UNITED STATES

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Amir Hussain Idrisi

Assistant Teaching Professor

Michigan Technological University

UNITED STATES

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Virginia P. Sisiopiku

The University of Alabama

UNITED STATES

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Osman Ozbulut

University of Virginia

UNITED STATES

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Pavitra Kumar

Lecturer

Manchester Metropolitan University

UNITED KINGDOM

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Zhihui Sun

Professor and Chair

University of Louisville

UNITED STATES

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Mohammed Hadi

Florida International University

UNITED STATES

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Muhammad Sherif

Research Interests

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About

Articles (17)

Framework for the Development of a Diverse Transportation Workforce in the Southeast Region

Experimental investigation of long-term performance of fiber-reinforced epoxy and polyurethane polymer composites

Mechanical characterization of high-strength and ultra-high-performance engineered cementitious composites reinforced with polyvinyl alcohol and polyethylene fibers subjected to monotonic and cyclic loading

Refined analysis of steel girder bridges for computation of live load distribution factors considering effects of freight and emergency vehicles

Deep convolutional neural network ensemble for pavement crack detection using high elevation UAV images

Feasibility analysis for predicting the compressive and tensile strength of concrete using machine learning algorithms

Investigation of expansion percentages and groove inclusions on the performance of welded, expanded, welded-expanded tube-to-tubesheet joints

Influence of carbon nanotubes on properties of cement mortars subjected to alkali-silica reaction

Carbon nanotube reinforced cementitious composites: A comprehensive review

Effect of corrosion on the tensile and fatigue performance of CFRP strand Sheet/Steel double strap joints

Impact of prolonged exposure of eleven years to hot seawater on the degradation of a thermoset composite

Development of crack width prediction models for rc beam-column joint subjected to lateral cyclic loading using machine learning

Review of recent trends in friction stir welding process of aluminum alloys and aluminum metal matrix composites

Tensile characterization of graphene nanoplatelet/shape memory alloy/epoxy composites using digital and thermal imaging

Torsional crack localization in palm oil clinker concrete using acoustic emission method

Damage assessment of nanofiller-reinforced woven kevlar KM2plus/Epoxy resin laminated composites

Experimental Investigation on Buckling and Post-buckling Behavior of Superelastic Shape Memory Alloy Bars

Collaborators (9)

Devin K. Harris

Beckry Abdel-Magid

Young Hoon Kim

Amir Hussain Idrisi

Virginia P. Sisiopiku

Osman Ozbulut

Pavitra Kumar

Zhihui Sun

Mohammed Hadi

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