- M. Koolivand-Salooki, M. Esfandyari, E. Rabbani, M. Koulivand, A. Azarmehr “Application of Genetic Programing technique for predicting Uniaxial Compressive Strength using reservoir formation properties”, Journal of Petroleum Science and Engineering, 159(2017), 35–48.
- M. Esfandyari, M. A. Fanaei , R. Gheshlaghi, M. Akhavan Mahdavi “ Dynamic modeling and control of a continuous two-chamber microbial fuel cell with pure culture of Shewanella " International Journal of Hydrogen Energy, 42(2017), 21198-21202.
- D. Jafari, M. Esfandyari, “Optimization of temperature and molar flow ratios of triglyceride/alcohol in biodiesel production in a batch reactor", Biofuel, (Accapted).
- M. Dabiri-Atashbeyk, M. Koolivand Salooki, M. Esfandyari, M.Koulivand,” Comparing Two Methods of Neural Networks to Evaluate Dead Oil Viscosity, Iranian Journal of Oil & Gas Science and Technology, (Accapted).
- M. Koolivand_Salooki, M. Esfandyari, M.Koulivand,”Inhibition Corrosion by Liquorices” Journal of Corrosion Science and Engineering 20 · February 2017.
- M. Esfandyari, M. A. Fanaei , R. Gheshlaghi, M. AkhavanMahdavi “Mathematical modeling of two-chamber batch microbial fuel cell with pure culture of Shewanella " Chemical Engineering Research and Design, 117(2017), 34-42.
- Bahareh Tanhaeia, Morteza Esfandyari, Ali Ayati, Mika Sillanpää,” Neuro-Fuzzy Modeling to Adsorptive Performance of Magnetic Chitosan” Journal of Nanostructure in Chemistry, 1(2017), 29-36.
- M. Esfandyari, M. A. Fanaei, R. Gheshlaghi, M. AkhavanMahdavi “Neural network and neuro-fuzzy modeling to investigate the power density and Columbic efficiency of microbial fuel cell” Journal of the Taiwan Institute of Chemical Engineers, 58(2016), 84–91.
- M. Hedayati Moghaddam, A. Hedayati Moghaddam , M. Esfandyari, , “Stock market index prediction using artificial neural network ", Journal of Economics, Finance and Administrative Science, 21(2016), 89-93
- A. Garmroodi Asil, A. Shahsavand, M. Esfandyari “Prediction of Optimal Sulfinol Concentration Khangiran Gas Treating Unit via Adaptive Neuro-Fuzzy Inference System and Regularization Network" Journal of Gas Technology, 1(2016), 49-67.
- M. Esfandyari, M. Amiri and M. Koolivand-Salooki “Neural Network Prediction of the Fischer–Tropsch synthesis of Natural Gas with Co (III)/Al2O3 catalyst "Chemical Engineering Research Bulletin” 17(2015) 25-33.
12)M. Hedayati Moghaddam, M.Esfandyari, A. Hedayati Moghaddam “A mini-review on aerobic granular sludge cultivation", Environmental Science: An Indian Journal, 11(6)(2015),179-186.
- M. Esfandyari, M. A. Fanaei, H. Zohrei, " Adaptive fuzzy tuning of PID controller ", Neural Computing and Applications, 23(2013) 19-28.
- M.A.Takassi, A. Gharibi Kharaji, M. Koolivand Salooki, M. Esfandyari, “Neuro-Fuzzy prediction of Fe-V2O5 promoted γ-alumina catalyst behaviour in the reverse water gas shift reaction” Energy Technology,1( 2013), 144 –150.
- M.A. Takkasi, A.Gharibi Kharaji,M. Esfandyari, M. Koolivand salooki, " Neuro-Fuzzy Prediction of Aluminum oxide-supported Di-Cobaltdecavanadate catalyst behavior in The Fischer–Tropsch synthesis ", European Journal of Chemistry,4 (2)(2013),110-116.
- H. Salehi, M. Esfandyari, M. Koolivand salooki, "Nero-fuzzy modeling of the Convection Heat Transfer Coefficient for the Nanofluid ", Journal of Heat and Mass Transfer, 49(2013) 575–583.
17)B. Rahmanian, M. Pakizeh , S. A. A. Mansoori , M. Esfandyari, D. Jafari, H. Maddah , A.M. Maskooki , “Prediction of MEUF process performance using artificial neural networks and ANFIS approaches ", Journal of the Taiwan Institute of Chemical Engineers, 43 (2012) 558–565.
- R. Abedini, M. Esfandyari, A. Nezhadmoghadam, B. Rahmanian, "Prediction of Undersaturated Crude Oil Viscosity: Artificial Neural Network and Fuzzy Model Approach", Journal of Petroleum Science and Technology, 30(2012), 2008–2021.
- B. Rahmanian, M. Pakizeh, M. Esfandyari, F.Heshmatnezhad, A. Maskooki, "Fuzzy Modeling and Simulation for Lead Removal Using Micellar-enhanced Ultrafiltration (MEUF) ", Journal of Hazardous Materials, 192 (2011) 585– 592.
- M.A. Takkasi, M. Koolivand salooki, M.Esfandyari, “Fuzzy Model Prediction of Co (III)/Al2O3 catalysts behavior in The Fischer-Tropsch Synthesis”, Journal of Natural Gas Chemistry, 20(2011)603–610.
- B. Rahmanian, M. Pakizeh, M. Esfandyari, and A. Maskooki, "Fuzzy Inference System for Modeling of Zinc Removal Using Micellar-Enhanced Ultrafiltration",Separation Science and Technology, 46(2011), 1–11.
- Reza Abedini, Morteza Esfandyari, Amir Nezhadmoghadam, Hooman Adib, "Evaluation of Crude Oil Property Using Intelligence Tool: Fuzzy Model Approach", Chemical Engineering Research Bulletin (CERB), 15(2011), 30-33.
- Hadi Salehi, Mosayyeb Amiri, , Morteza Esfandyari , “ Using Artificial Neural Network(ANN) for manipulating Energy Gain of Nansulate Coating”, Journal of Nanotechnology in Engineering and Medicine , 2(2011) 1-3.