en / فا
Dr  Majid Siavashi

Dr Majid Siavashi

Office Number: 77240391
Properties Fields of Interest Offered Courses
Academic Rank Associate Professor Multiphase flow in porous media Fluid Mechanics 2
School Name Mechanical Engineering Nanofluids Flow in Porous Media
Position Enhanced heat transfer An Introduction to Oil and Gas Production

International Achievements/Awards

Series Title Year
1 Ranked 2nd in the 20th international Khwarizmi festival 2004
2 Elite young researcher in Mechanical Engineering (Iran Academy of Science) 2021
3 Top 1% scientist based on ESI report 2022

Student under Supervision

Series Student Name Student Degree Title of Project Co-Supervisor(s)
1 Milad Ramezanpour PhD Optimization of heat transfer in heat exchangers by application of gradient anisotropic porous foams
2 Milad Ramezanpour PhD -------------------
3 Pooriya Ghorbani MSc Experimental investigation of adsorption in granular activated carbon Mehdi Moghimi

Selected Papers

Year Journal Title Article Title Authors
2018 NUMERICAL HEAT TRANSFER PART A-APPLICATIONS Numerical simulation of two-phase mass transport in three-dimensional naturally fractured reservoirs using discrete streamlines Mahmoud Ahmadpour, Majid Siavashi, Mahdi Moghimi
2018 SOLAR ENERGY Computational analysis of SWCNH nanofluid-based direct absorption solar collector with a metal sheet Majid Siavashi, Kasra Ghasemi, Reza Yousofvand, Shahram Derakhshan Houreh
2018 APPLIED THERMAL ENGINEERING Optimization of heat transfer enhancement and pumping power of a heat exchanger tube using nanofluid with gradient and multi-layered porous foams Majid Siavashi, Hamid Reza Talesh Bahrami, Ehsan Aminian
2018 INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER Experimental investigation of effects of grain size inlet pressure and flow rate of air and argon on pressure drop through a packed bed of granular activated carbon Amir Mohammad Norouzi, Majid Siavashi, Amirreza Soheili, MohammadHasan Khaliji Oskouei
2018 JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME A Comparative Study of Genetic and Particle Swarm Optimization Algorithms and Their Hybrid Method in Water Flooding Optimization Majid Siavashi, Mohsen Yazdani