Mehdi Mosharaf-Dehkordi, Ph.D. ,

Associate Professor

Department Of Mechanical Engineering
Faculty Of Engineering

Email

m.mosharaf@eng.ui.ac.ir

Address

University of Isfahan Azadi square Isfahan, Iran
Postal Code : 8174673441

2009

2025

Research activities per year

Biography

I’m Mehdi Mosharaf-Dehkordi, an Associate Professor in Mechanical Engineering at the University of Isfahan. With over 15 years in academia and industry, I specialize in computational fluid dynamics (CFD) and the development of commercial software for specific applications. My goal is to advance numerical methods for complex engineering challenges, particularly in multiphase transport in heterogeneous porous media.

Research Interests

Multi-phase Transport in Porous media Integrating ML CFD models

Professional activities

Computational Fluid Dynamics (CFD) Hydrocarbon Reservoir Simulation

Research Output

All

Article

Articles

2025

A numerical study on optimization of microwave antenna power for liver cancer therapy enhanced with hybrid magnetic nanoparticles

( Article . )

Fakhradini, S.S., Mosharaf-dehkordi, M., Ahmadikia, H.

Journal of Thermal Biology (18790992)129

Analysis of the hydrogen production system using a polymer membrane electrolyzer and its transfer to the natural gas pipeline

( Article . )

Zayandehroodi, M.R., Afshari, E., Mosharaf-dehkordi, M.

Amirkabir Journal of Mechanical Engineering (20086032)56(12)pp. 1609-1628

Efficient simulation of coupled free and porous media fluid flow within channelised structures using the virtual porous medium model: application to liver interlobular blood flow

( Article . )

Faraji, N., Mosharaf-dehkordi, M.

Computer Methods in Biomechanics and Biomedical Engineering (14768259)

Integrating Analytical Simulations With Regression Learning: Advancing Efficiency in Energy and Water Use in Sugar Production

( Article . )

Azizi, M., Mosharaf-dehkordi, M., Fouladi, N., Kazanci, C.

Journal of Food Process Engineering (01458876)48(2)

2024

An enhanced hybrid model for batch sugar crystallization based on the pattern recognition for overall heat transfer coefficient using a machine learning approach

( Article . )

Azizi, M., Mosharaf-dehkordi, M., Fouladi, N., Kazanci, C.

Journal of Food Process Engineering (01458876)47(4)