Nematullah Zafarani

I am Nematullah Zafarani, a dedicated Ph.D. candidate in Hydraulics and Water Resources Engineering at Vali-e-Asr University of Rafsanjan. My primary research focuses on applying advanced computational methods and machine learning, including Artificial Neural Networks hybridized with optimization algorithms, to address complex challenges in civil engineering, particularly in predicting the shear capacity of reinforced concrete beams and sustainable water resources management. The findings of my research have been published in several reputable international journals, including the International Journal of Civil Engineering and Structural Concrete. I achieved first-rank status during my Master's studies and possess an IELTS score of 7.0, which demonstrates my proficiency in academic English.

Living in : Afghanistan

Gender : MaleRace : Middle Eastern

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Academic Profile

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Contact Information

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Educations

Hydraulics And Water Resources EngineeringMaster'sValiasr University of Rafsanjan2023-04-29 Iran

Civil EngineeringBachelor'sValiasr University of Rafsanjan2020-05-12 Iran

Work Experiences

Civil engineer

at Taran company

I am currently working in this role

Road designer

at Niro sanat sarcheshme

Start : 03-Aug-2022

End : 28-Feb-2023

English Scores

IELTS20-Mar-2023

7/9Total

Reading :

7/9

Speaking :

7/9

Listening :

7/9

Writing :

7/9

Conferences

Your Presentation Title :

Dcc

Conference Name :Dsx

Australia

2021

Journal Publications

Publication Title :

Hybrid Grey-Wolf Optimizer and MLP Neural Network for Shear Capacity Prediction of Slender FRP-RC BeamsFirst author

Journal :

International Journal of Civil Engineering

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Publication Title :

An approach involving the coupling of artificial neural network with the genetic algorithm optimizer for predicting the shear capacity of SFRC beamsSecond author

Journal :

Structural Concrete

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Publication Title :

Modifying the virtual water trade of rice for global sustainability of freshwater resourcesFourth author

Journal :

Sustainable Water Resources Management

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Publication Title :

A New Practical Equation for the Shear Capacity of FRP-RC Slender Beams Assessment via Gene Expression ProgrammingSecond author

Journal :

Structural Engineering International: Journal of the International Association for Bridge and Structural Engineering (IABSE)

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Publication Title :

Shear capacity of slender FRP-RC beams utilizing a hybrid ANN with the firefly optimizerSecond author

Journal :

Journal of Reinforced Plastics and Composites

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Publication Title :

Prediction of shear capacity of slender SFRC beams without stirrup through combination of particle swarm optimization and neural networkFirst author

Journal :

Structure

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Awards

First Rank Student in UniversityMaster

References

Nematullah Zafarani

nemat.zafarani@gmail.com