Department of Mechanical Engineering of Urmia University, Iran
Email: email@example.com, firstname.lastname@example.org
I graduated from the Ph.D. course in Urmia University under the supervision of Prof. Khalilarya in 2015
following the research period as M.Sc. in Tabriz University in the Mechanical engineering department
(Energy conversion branch). The M.Sc. project is centered on the cavitation formation in group-hole
nozzle and multi-hole nozzle configurations and the quality of spray development from the injectors in
non-evaporative conditions. The Ph.D. research continued with the investigation of the spray droplet
evaporation and air-fuel mixing process, which ultimately led to analyze of the combustion phenomena
and ICE engine-out emissions. My research work has recently been focused on the design, modeling, and
optimization of internal combustion engines esp. diesel engines (the computational intelligence
techniques include ANN, ANFIS, ICA, MOGA, NLPQL, Nelder-Mead). My latest field of specialization
is the use of nanofuels/biofuels in diesel engine, design and optimization of nozzles and diesel engines.
My subsidiary research interest involves energetic and exergetic evaluation of energy related systems
such as CHP/CCHP power plants as well as heat exchangers.
I have actively contributed in the scientific community by publishing numerous papers. I am chosen as an
outstanding Reviewer for Energy Conversion and Management with the impact factor of 4.81.
Ph.D. Thesis: Combined energetic and exergetic analysis of diesel engine with artificial neural network
for investigation of fuel air dynamic mixing under parameters of homogeneity factor (HF), injection
angle, and alternative fuels
M.Sc. Thesis: Effect of multi hole injectors with different angle of holes on on diesel engine spray
Subject editor of the Journal of Advances in Vehicle Engineering (JADVE)
Guest leading Editor: International Journal of Spray and Combustion Dynamics (SAGE publication)
Application of artificial intelligence in internal combustion engines, In Persian.
Fundamentals of combustion processes: Translation
Green diesel engine: Translation
Optimization of the shape of combustion chamber with a parametric study for a submarine
Benchmarking of water injection in a hydrogen-fueled diesel engine to reduce emissions and
Technical and economical study of the CCHP system in order to generate electricity, heating, and
Published peer-reviewed papers:
1- Taghavifar, H., Taghavifar, H., Mardani, A. and Mohebbi, A., 2014. Exhaust emissions
prognostication for DI diesel group-hole injectors using a supervised artificial neural network
approach. Fuel, 125, pp.81-89.
2- Taghavifar, H., Khalilarya, S. and Jafarmadar, S., 2014. Engine structure modifications effect on the
flow behavior, combustion, and performance characteristics of DI diesel engine. Energy Conversion and
Management, 85, pp.20-32.
3- Taghavifar, H., Khalilarya, S. and Jafarmadar, S., 2014. Diesel engine spray characteristics prediction
with hybridized artificial neural network optimized by genetic algorithm. Energy, 71, pp.656-664.
4- Taghavifar, H., Taghavifar, H., Mardani, A. and Mohebbi, A., 2014. Modeling the impact of incylinder
combustion parameters of DI engines on soot and NOx emissions at rated EGR levels using
ANN approach. Energy Conversion and Management, 87, pp.1-9.
5- Taghavifar, H., Taghavifar, H., Mardani, A., Mohebbi, A., Khalilarya, S. and Jafarmadar, S., 2016.
Appraisal of artificial neural networks to the emission analysis and prediction of CO 2, soot, and NOx of
n-heptane fueled engine.Journal of Cleaner Production, 112, pp.1729-1739.
6- Taghavifar, H., Khalilarya, S., Mirhasani, S. and Jafarmadar, S., 2014. Numerical energetic and
exergetic analysis of CI diesel engine performance for different fuels of hydrogen, dimethyl ether, and
diesel under various engine speeds. International Journal of Hydrogen Energy, 39(17), pp.9515-9526.
7- Anvari, S., Taghavifar, H., Saray, R.K., Khalilarya, S. and Jafarmadar, S., 2015. Implementation of
ANN on CCHP system to predict trigeneration performance with consideration of various operative
factors. Energy Conversion and Management, 101, pp.503-514.
8- Taghavifar, H., Taghavifar, H., Mardani, A., Mohebbi, A. and Khalilarya, S., 2015. A numerical
investigation on the wall heat flux in a DI diesel engine fueled with n-heptane using a coupled CFD and
ANN approach. Fuel, 140, pp.227-236.
9- Taghavifar, H., Mardani, A., Mohebbi, A. and Taghavifar, H., 2014. Investigating the effect of
combustion properties on the accumulated heat release of DI engines at rated EGR levels using the ANN
approach. Fuel,137, pp.1-10.
10- Taghavifar, H., Shervani-Tabar, M.T. and Abbasalizadeh, M., 2015. Numerical study of the effects of
injector needle movement and the nozzle inclination angle on the internal fluid flow and spray structure of
a group-hole nozzle layout. Applied Mathematical Modelling, 39(23), pp.7718-7733.
11- Taghavifar, H., 2015. Numerical study on the influence of group-hole nozzle injectors on flow
domain of diesel spray. Journal of Advances in Vehicle Engineering, 1(2).
12- Taghavifar, H., Khalilarya, S. and Jafarmadar, S., 2015. Exergy analysis of combustion in VGTmodified
13- Taghavifar, H. and Shabahangnia, E., 2014. Prediction of thermal gradient in an air channel with
presence of electrostatic field using artificial neural network. Heat and Mass Transfer, 50(11), pp.15151524.
14- Taghavifar, H., Khalilarya, S. and Jafarmadar, S., 2015. Adaptive neuro-fuzzy system (ANFIS) based
appraisal of accumulated heat from hydrogen-fueled engine. International Journal of Hydrogen
Energy, 40(25), pp.8206-8218.
15- Taghavifar, H., Khalilarya, S. and Jafarmadar, S., 2015. Three‐dimensional energetic and exergetic
analysis of the injection orientation of DI diesel engine under different engine speeds. Energy Science &
Engineering, 3(4), pp.360-370.
16- Taghavifar, H., Khalilarya, S., Jafarmadar, S. and Taghavifar, H., 2016. A RANS simulation toward
the effect of turbulence and cavitation on spray propagation and combustion characteristics. Theoretical
and Computational Fluid Dynamics, pp.1-14.
17- Taghavifar, H., Khalilarya, S., Jafarmadar, S. and Baghery, F., 2016. 3-D numerical consideration of
nozzle structure on combustion and emission characteristics of DI diesel injector. Applied Mathematical
18- Anvari, S., Taghavifar, H., Khalilarya, S., Jafarmadar, S. and Shervani-Tabar, M.T., 2016. Numerical
simulation of diesel injector nozzle flow and in-cylinder spray evolution. Applied Mathematical
19- Taghavifar, H., Jafarmadar, S., Taghavifar, H. and Navid, A., 2016. Application of DoE evaluation to
introduce the optimum injection strategy-chamber geometry of diesel engine using surrogate epsilonSVR.
20- Jafarmadar, S., Taghavifar, H., Taghavifar, H. and Navid, A., 2016. Numerical assessment of flow
dynamics for various DI diesel engine designs considering swirl number and uniformity index. Energy
Conversion and Management, 110, pp.347-355.
21- Taghavifar, H., Taghavifar, H., Mardani, A., Mohebbi, A., Khalilarya, S. and Jafarmadar, S., 2015.
On the modeling of convective heat transfer coefficient of hydrogen fueled diesel engine as affected by
combustion parameters using a coupled numerical-artificial neural network approach.international
journal of hydrogen energy, 40(12), pp.4370-4381.
22- Taghavifar, H., Anvari, S., Saray, R.K., Khalilarya, S., Jafarmadar, S. and Taghavifar, H., 2015.
Towards modeling of combined cooling, heating and power system with artificial neural network for
exergy destruction and exergy efficiency prognostication of tri-generation components. Applied Thermal
Engineering, 89, pp.156-168.
23-Jalilpour, B., Jafarmadar, S., Ganji, D.D., Shotorban, A.B. and Taghavifar, H., 2014. Heat
generation/absorption on MHD stagnation flow of nanofluid towards a porous stretching sheet with
prescribed surface heat flux. Journal of Molecular Liquids, 195, pp.194-204.
24-Jafarmadar, S., Jalilpour, B., Ganji, D.D. and Taghavifar, H., 2014. A Unified Model Considering
Effects of Droplet Break-Up and Air Entrainment at the Initial Stage of Fuel Spray
Penetration. Mathematical Problems in Engineering, 2014.
25- Saraee, H.S., Jafarmadar, S., Taghavifar, H. and Ashrafi, S.J., 2015. Reduction of emissions and fuel
consumption in a compression ignition engine using nanoparticles. International Journal of
Environmental Science and Technology, 12(7), pp.2245-2252.
26-Saraee H.S., Taghavifar H, Jafarmadar S. Experimental and numerical consideration of the effect of
CeO2 nanoparticles on diesel engine performance and exhaust emission with the aid of artificial neural
network. Applied Thermal Engineering 2016 (Accepted manuscript).
27- Navid A, Khalilarya Sh, Taghavifar H. Comparing multi-objective non-evolutionary NLPQL and
evolutionary genetic algorithm optimization of a DI diesel engine: DoE estimation and creating surrogate
model. Energy Conversion and Management 2016 (Accepted manuscript).
28- Haghighi, E.A., Jafarmadar, S. and Taghavifar, H., 2013. Application of ANN-ICA Hybrid Algorithm
toward Prediction of Engine Power and Exhaust Emissions. Int J Automot Eng, 3, pp.602-608.
29- Taghavifar, H., 2017. On the optimization of a HSDI diesel engine by genetic algorithm: Nu-SVR
modeling. International Journal of Heavy Vehicle Systems: Under review
30- Taghavifar, H., 2017. Application of divergent split injection in a CIDI diesel engine to reduce
emissions and boost the efficiency. Transport: Under review
31- Taghavifar H, Anvari S, Parvishi A,. 2017. Benchmarking of water injection in a hydrogen-fueled
diesel engine to reduce emissions and increase efficiency. International Journal of Hydrogen Energy:
(Accepted Manuscript: In press)
32- Taghavifar, H., 2017. Towards multiobjective Nelder-Mead optimization of a HSDI diesel engine:
Application of Latin hypercube design-explorer with SVM modeling approach. Energy Conversion and
Management (Under Review)
33- Anvari S, Taghavifar H, Parvishi A., Thermo - economical consideration of RORC coupling with the
absorption chiller systems incorporated in the CCHP system. Energy Conversion and Management
1-Taghavifar H, Khalilarya Sh. The effect of injector structure in terms of inlet nozzle curvature and
nozzle angles on combustion and emission. 5
National Conference of Fuel and Combustion, March
2014, Tehran, Iran.
2- Taghavifar H, Khalilarya Sh, Jafarmadar S. Wall heat flux ealuation of a DI diesel engine with the aid
of ANN and CFD. The 8
Student Conference on Mechanical Engineering, 8-10 October 2014,
University of Guilan, Iran.
3- Navid A, Khalilarya Sh, Taghavifar H. Muti-objective optimization of combustion chamber of DI
diesel engine using NLPQL algorithm. International Congress on Engineering & Technology
Development, May 2016, Tabriz, Iran.
Awards and Achievements:
1- Outstanding Reviewer, Energy Conversion and Management, Elsevier 2015
2- First Rank student of Ph.D. period in Urmia University
3- The best researcher award of the year (2015) from Azma-Tech Company: The most profitable research
4- MSRT language certificate (English): 87/100
Design and manufacture of hinged rotary cylinder of engines: In progress
Energy conversion and management (Elsevier)
International Journal of Hydrogen Energy (Elsevier)
Applied Thermal Engineering (Elsevier)
Engineering Applications of Computational Fluid Mechanics (Taylor and Francis)
Alexandria Engineering Journal (Elsevier)
Fuel processing technology (Elsevier)
Journal of Intelligent systems (De Gruyter)
Journal of Electrostatics (Elsevier)
Journal of the Brazilian Society of Mechanical Sciences and Engineering (Springer)
European Journal of Sustainable Development Research
CFD simulation of combustion process, multiphase flow and cavitation formation in
Modeling of combustion chamber, group-hole and multi-hole injectors
Nano particle effect on fuel and combustion properties
Prediction and optimization of spray and combustion with the aid of ANN, ICA, GA
Investigation of spray characteristics on combustion and emission process
Free convective heat transfer from air channel
Exergy and energy analysis
Design of CHP, and CCHP power plants
Proficiency in AVL-Fire, and Fluent software
Nano-fuel experimental research
Design and analysis of engine by NLPQL, MOGA, and Nelder-Mead Algorithms
Familiar with Catia, and 3D max
EES and MATLAB code development for energy and exergy analysis of power plants
Strong mathematical and analytical ability