Gholamhassan Najafi
Associate Professor
Speciality:  Internal Combustion Engines (Fuels, Combustion, Pollutions) and Renewable Energies
  • BS/BA: Urmieh University, Iran, Mechanics of Biosystems engineering, 1998-2002.
  • MS: Tarbiat Modares University, Tehran, Iran, Mechanics of biosystems Engineering Department, 2002-2004.
  • PhD: Bioenergy department, Tarbiat Modares University, Tehran, Iran, 2004-2008.
  • Phone: 48292322
  • Fax: 48292200
  • Email: g.najafi@modares.ac.ir
  • Address: P.O. Box: 14115-336. Jalale Ale Ahmad Express Way. Opposite to the Nasr Bridge. Tarbiat Modares University, Tehran, I.R. Iran.
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Name: Gholamhassan Najafi
Date & Place of Birth: 20th. June. 1979. Karaj
Nationality: Iranian
Status: Married, one son
Designation: Assistant Professor
Affiliation: University of Tarbiat Modares, Tehran, Iran
Contact Address:
Correspondence: P.O. Box: 14115-336. Jalale Ale Ahmad Express Way. Opposite to the Nasr Bridge. Tarbiat Modares University, Tehran, I.R. Iran.
Emails:University:g.najafi@modares.ac.ir, NAGAFY_14@yahoo. Com,
Tel.: Faculty: 0098(21)44196522-3, Office: 0098(21) 48292322, Fax: 0098(21) 44196524, Mobile: 0098(912)3664393 
Academic Qualification
·B. Sc.: Urmieh University, Iran, Mechanics of Agricultural Machinery, 1998-2002.
·M. Sc.: Tarbiat Modares University, Tehran, Iran, Mechanics of Agricultural Machinery, 2002-2004.
Topic of dissertation: Application and Comparing of Photoelacticity, Finite Element Method and Strength of Material's Formula for Study on Stress Distribution in Subsoiler. 19. September2004.
 
·Ph.D. Tarbiat Modares University, Tehran, Iran, Mechanics of Agricultural Machinery, 2004-2008.
Topic of Thesis: Investigation of Combustion Parameters on KIA-B3I Internal Combustion Engine Using Bioethanol Fuel. 14. March. 2009 
Background and Research Interests
1.    Agricultural Engineering Machineries: Design, Fabrication and Evaluation of Agricultural Machinery and Components
2.    Mechanical Engineering: Internal Combustion Engines (Fuels, Combustion, Pollutions). Finite Element Method (FEM), Artificial Neural Network (ANN).
3.    Renewable energies: Geothermal, Wind and Solar Energy, biomass (Biogas, Biofuels)