Mirlabs
Hamid Taghavifar
Hamid Taghavifar
Department of Mechanical Engineering of Biosystems, Urmia University, Iran, Urmia
PhD Student
Personal Web Site:
Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=1045
Short Biography

Hamid Taghavifar holds a M.Sc. in Mechanical Engineering from Urmia University, Iran. He also received his B.Sc. degree from Urmia University. He completed his B.Sc. thesis on ''evaluation of dynamic load and velocity effects on the rolling resistance of driven wheel utilizing an instrumented soil bin with single-wheel tester in 2010 and his M.Sc. as ''Investigating the effect of traction parameters on soil stress under driving wheel utilizing single wheel-tester and soil bin facility''. His field of interests and specializations include designing, testing, and utilization of off-road vehicles, soil-wheel interactions, modeling multibody dynamic systems, agricultural mechanization, soil and vehicle dynamics, state-of the-art computational intelligence and decision making approaches, some of which are Artificial Neural Networks, Fuzzy Logic, ANFIS, GA, ICA and hybridized techniques.

List of top 5 publications in the last 5 years

2. Taghavifar, H., Mardani, A. 2014. On the modeling of energy efficiency indices of agricultural tractor driving wheels applying adaptive neuro-fuzzy inference system. Journal of Terramechanics (Elsevier)- Accepted.

 

3.  Taghavifar, H., Mardani, A. 2014. Prognostication of energy consumption and greenhouse gas (GHG) emissions analysis of apple production in West Azarbayjan of Iran using Artificial Neural Network. Journal of Cleaner Production (Elsevier)- Minor Revision

 

4. Taghavifar, H., Taghavifar, H., Mardani, A., Mohebbi, A. 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 –Minor Revision

 

5. Taghavifar, H., Mardani, A. 2014. Energy consumption analysis of wheat production in West Azarbayjan utilizing life cycle assessment (LCA). Renewable Energy (Elsevier)-Accepted Manuscript

 

 

6. Taghavifar, H., Mardani, A., Mohebbi, A., & 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: 1-10.

 

 

7. Taghavifar, H.,Mardani, A., Karim-Maslak, H. Multi-criteria optimization model to investigate the energy waste of off-road vehicles utilizing soil bin facility, Energy (2014(73, 14: 762-770


8. Taghavifar, H., Mardani, A. Energy loss optimization of run-off-road wheels applying imperialist competitive algorithm, Information Processing in Agriculture (2014); DOI: 10.1016/j.inpa.2014.06.001

 

9. Taghavifar, H., Mardani, A. Wavelet neural network applied for prognostication of contact pressure between soil and driving wheel, Information Processing in Agriculture (2014); 10.1016/j.inpa.2014.05.002

 

10. Taghavifar, H., Taghavifar, H., Mardani, A., Mohebbi, A. Modeling the impact of in-cylinder combustion parameters of DI engines on soot and NOx emissions at rated EGR levels using ANN approach; Energy Convers Manage (2014), 87, 1-9

 

11. Taghavifar, H., Taghavifar, H., Mardani, A., Mohebbi, A., Exhaust emissions prognostication for DI diesel group-hole injectors using a supervised artificial neural network approach, Fuel  2014; 125:81-89.

 

12. Taghavifar, H., Mardani, A. Applying a supervised ANN approach to the prognostication of driven wheel energy efficiency indices, Energy 2014; 68: 651-657.

 

13. Taghavifar, H., Mardani, A. Analyses of energy dissipation of run-off-road wheeled vehicles utilizing controlled soil bin facility environment, Energy 2014;66:973-980.

 

14. Taghavifar, H., Mardani, A.A comparative trend in forecasting ability of artificial neural networks and regressive support vector machine methodologies for energy dissipation modeling of off-road vehicles, Energy 2014;66:569-576.

 

15. Taghavifar, H., Mardani, A. Prognostication of vertical stress transmission in soil profile by adaptive neuro-fuzzy inference system based modeling approach, Measurement 2014;50:152-159.

 

16. Taghavifar, H., Mardani, A. Net traction of a driven wheel as aected by slippage, velocity and wheel load. Journal of the Saudi Society of Agricultural Sciences (2013), http://dx.doi.org/10.1016/j.jssas.2013.11.002

 

17. Taghavifar, H., Mardani, A., Fuzzy logic system based prediction effort: A case study on the effects of tire parameters on contact area and contact pressure. Applied Soft Computing-Elsevier (2014)14(c): 390-396

18. Taghavifar, H., Mardani, A., Potential of functional image processing technique for the measurements of contact area and contact pressure of a radial ply tire in a soil bin testing facility. Measurement-Elsevier (2013) 46(10); 4038-4044

 

19. Taghavifar, H., Mardani, A., Taghavifar, L., A hybridized artificial neural network and imperialist competitive algorithm optimization approach for prediction of soil compaction in soil bin facility. Measurement-Elsevier (2013)- Pages 2288-2299. 

 

20. Taghavifar, H.,Mardani, A., Karim-Maslak, H., Kalbkhani, H. Artificial Neural Network estimation of wheel rolling resistance in clay loam soil. Applied Soft Computing-Elsevier (2013), Pages 3544-3551. 

 

21. Taghavifar, H., Mardani, A. A knowledge based Mamdani fuzzy logic prediction of the motion resistance coefficient in a soil bin facility for clay loam soil. Neural Computing and Applications-Springer (2013): 23(1):293-302 

 

22. Taghavifar, H., Mardani, A. Investigating the effect of velocity, wheel load and inflation pressure on rolling resistance of radial ply tire. Journal of Terramechanics-Elsevier (2013); 99-106

 

23. Taghavifar, H., Mardani, A. Use of artificial neural networks for estimation of agricultural wheel traction force in soil bin. Neural Computing and Applications-Springer 24.6 (2014): 1249-1258

 

24. Taghavifar, H., Mardani, A. Application of artificial neural networks for the prediction of traction performance parameters. JSSAS-Elsevier (2014); 13(1), 35-43

 

25. Taghavifar, H., Mardani, A.2014.  Effect of velocity, wheel load and multipass on soil compaction. JSSAS-Elsevier (2013) 13(1), 57-66 

 

26. Taghavifar, H., Mardani, A. Elahi, I. Preliminary researches regarding the use of ANN to predict the wheel-soil interaction. Cercetari Agronomice in Moldova, (2013) 46 (1), 5-13

 

List of top 5 academic activities during the last 5 years

Member of Young Researchers and Elites Club of Iran

Member of International Federation of Inventors Association (Iran's Branch)

Reviewer of the Journal of Vehicle System Dynamics (Taylor & Francis Published Journal-ISI)

Transactions of ASABE

International Journal of Advanced Manufacturing Technology (Springer)

International Journal of Electrical Power & Energy Systems (Elsevier)

Reviewer of the Journal of Physical Review & Research International

Reviewer of Applied Soft Computing (Elsevier published journal-ISI)

Reviewer of Neural Computing and Applications (Springer published journal- ISI)