• Name and Family
    • Mohammad Javad Azarhoosh
  • Degree
    • Ph.D.
  • Academic Degree
    • Assistant Professor
  • Department
    • Chemical Engineering
  • E-mail:
 Short Bioghraphy           
         
     Research and Education Resume 		رزومه فارسی
Academic Education/Training (3)
Journal Articles (27)
Conference Papers/Abstracts/Posters (16)
Books (2)
Courses Taught (11)
   
  • Name and Family
  • Mohammad Javad Azarhoosh
  • Degree
  • Ph.D.
  • Academic Degree
  • Assistant Professor
  • Department
  • Chemical Engineering
  • E-mail:
  • mj.azarhoosh@urmia.ac.ir
 
 
 
         
     Research and Education Resume
Academic Education/Training (3)

1-Ph.D., 2017, Chemical Engineering,Department of Chemical Engineering, Amirkabir University of Technology, Tehran, Iran.

2-M.Sc., 2012, Chemical Engineering,Department of Chemical Engineering, Amirkabir University of Technology, Tehran, Iran.

3-B.Sc., 2010, Chemical Engineering,Department of Chemical Engineering, Sahand University of Technology, Tabriz, Iran.
Journal Articles (27)

1-M. Pashangpoor, S. Askari, M.J. Azarhoosh, 2023, Modeling, Sensitivity Analysis, and Optimization of the Methanol-to-Gasoline Process using Artificial Intelligence Methods,Theoretical Foundations of Chemical Engineering, 57, S147-S157.

2-M.J. Azarhoosh, M. Koohmishi, 2023, Prediction of hydraulic conductivity of porous granular media by establishment of random forest algorithm,Construction and Building Materials , 366 130065.

3-H. Eshghanmalek, H. Ale Ebrahim, M.J. Azarhoosh, 2022, Simulation and optimization of a hydrotreating reactor using a new hybrid imperialistic competition algorithm-based adaptive neuro-fuzzy inference system (ICA-ANFIS),Chemical Papers, Published online.

4-M. Maleki-Kakelar, M.J. Azarhoosh, S. Golmohammadi Senji, A. Aghaeinejad-Meybodi, 2022, Urease production using corn steep liquor as a low-cost nutrient source by Sporosarcina pasteurii: biocementation and process optimization via artificial intelligence approaches,Environmental Science and Pollution Research, 29 13767-13781.

5-M. Maleki-Kakelar, A. Aghaeinejad-Meybodi, S. Sanjideh, M.J. Azarhoosh, 2022, Cost-Effective Optimization of Bacterial Urease Activity Using a Hybrid Method Based on Response Surface Methodology and Artificial Neural Networks,Environmental Processes, 9.

6-M. Shamsi, H. Ale Ebrahim, M.J. Azarhoosh, A.R. Azarhoosh, 2022, Simulation and Optimization of Hydrogen Production using the Coal Gasification Process,Nashrieh Shimi va Mohandesi Shimi Iran, 41 (4)، 367-381.

7-M.J. Azarhoosh, A.R. Azarhoosh, 2021, Presenting a Four-Lump Dynamic Kinetic Model for Methanol to Light Olefins Process Over the Hierarchical SAPO-34 Catalyst Using Power Law Models,Combinatorial Chemistry & High Throughput Screening, 4.

8-M.J. Azarhoosh, A. Aghaeinejad Meybodi, 2021, Methanol to Light Olefins: Catalyst, Reactions Kinetic and Process Study,Combinatorial Chemistry & High Throughput Screening, 4.

9-A. Dehghani Kiadehi, M. Taghizadeh, M.J. Azarhoosh, A. Aghaeinejad Meybodi, 2020, Hydrogen production using ethylene glycol steam reforming in a micro-reformer: Experimental analysis, multivariate polynomial regression and genetic programming modeling approaches,Journal of the Taiwan Institute of Chemical Engineers, 112 20-33.

10-A.R. Azarhoosh, G.H. Hamedi, M.J. Azarhoosh, 2020, The influence of cohesion and adhesion parameters on the moisture sensitivity of modified Asphalt mixtures with polymer additive,The Journal of Adhesion, 97 (16) 1486-1508.

11-A.R. Azarhoosh, M.J. Azarhoosh, 2020, Evaluation of Nano Hydrated Lime on the Moisture Susceptibility of Asphalt Mixtures Using Surface Free Energy,AUT Journal of Civil Engineering, 4 (1) 125-136.

12-M. Shamsi, H. Ale Ebrahim, M.J. Azarhoosh, 2019, Simulation and Optimization of Coal Gasification in a Moving-Bed Reactor to produce synthesis gas is suitable for methanol production unit ,Chemical and Biochemical Engineering Quaterly, 33 (4) 427-435.

13-M.J. Azarhoosh, R. Halladj, S. Askari, A. Aghaeinejad-Meybodi, 2019, Performance analysis of ultrasound-assisted synthesized nano-hierarchical SAPO-34 catalyst in the methanol-to-lights-olefins process via artificial intelligence methods,Ultrasonic Sonochemistry, v. 58. p. 10446.

14-N. Lotfi, H. Ale Ebrahim, M.J. Azarhoosh, 2019, Proposing a novel theoretical optimized model for the combined dry and steam reforming of methane in the packed bed reactors,Chemical Papers, 73 (9) 2309-2328.

15-A. Mozafari, M.J. Azarhoosh, S.E. Mousavi, T. Khaghazchi, M. Takht Ravanchi, 2019, Amine-membrane hybrid process economics for natural gas sweetening,Chemical Papers, 73 (7) 1585-1703.

16-M.J. Azarhoosh, R. Halladj, S. Askari, 2018, Application of evolutionary algorithms for modelling and optimisation of ultrasound-related parameters on synthesised SAPO-34 catalysts: crystallinity and particle size ,Progress in Reaction Kinetics and Mechanism, 43 (3-4) 236-243.

17-A. Golrokh Sani, H. Ale Ebrahim, M.J. Azarhoosh, 2018, 8-Lump kinetic model for fluid catalytic cracking with olefin detailed distribution study ,Fuel, 225 (322-335).

18-M.J. Azarhoosh, R. Halladj, S. Askari, 2017, A Dynamic Kinetic Model for Methanol to Light Olefins Reactions over a Nanohierarchical SAPO-34 Catalyst: Catalyst Synthesis, Model Presentation, and Validation at the Bench Scale,International Journal of Chemical Kinetics, 50 (3) 149-163.

19-M.J. Azarhoosh, R. Halladj, S. Askari, 2017, Sonochemical synthesis of SAPO-34 catalyst with hierarchical structure using CNTs as mesopore template ,Research on Chemical Intermediates, 43 (3265-3282).

20-M.J. Azarhoosh, R. Halladj, S. Askari, 2017, Presenting a new kinetic model for methanol to light olefins reactions over a hierarchical SAPO-34 catalyst using the Langmuir–Hinshelwood–Hougen–Watson mechanism ,Journal of Physics: Condensed Matter, 29 (42).

21-M.J. Azarhoosh, H. Ale Ebrahim, S.H. Pourtarah, 2016, Simulating and Optimizing Auto-Thermal Reforming of Methane to Synthesis Gas Using a Non-Dominated Sorting Genetic Algorithm II Method ,Chemical Engineering Communication, 203 (53-63).

22-S. Askari, R. Halladj, M.J. Azarhoosh, 2015, Modeling and optimization of catalytic performance of SAPO-34 nanocatalysts synthesized sonochemically using a new hybrid of non-dominated sorting genetic algorithm-II based artificial neural networks (NSGA-II-ANNs) ,RSC Advances, 5 (52788-52800).

23-F. Moghadas Nejad, A.R. Azarhoosh, G.H. Hamedi, M.J. Azarhoosh, 2015, Characterization of permanent deformation resistance of precipitated calcium carbonate modified asphalt mixture ,Journal of Civil Engineering and Management , 21 (5) 615-622.

24-A. Bakhshi Ani, H. Ale Ebrahim, M.J. Azarhoosh, 2015, Simulation and Multi-Objective Optimization of a Trickle-Bed Reactor for Diesel Hydrotreating by a Heterogeneous Model Using NonDominated Sorting Genetic Algorithm II ,Energy & Fuels, 29 (3041-3051).

25-M.J. Azarhoosh, H. Ale Ebrahim, S.H. Pourtarah, 2015, Simulating and Optimizing Hydrogen Production by Low-pressure Autothermal Reforming of Natural Gas using Non-dominated Sorting Genetic Algorithm-II ,Chemical and BioChemical Engineering Quaterly , 29 (4) 519-531.

26-M.J. Azarhoosh, F. Farivar, H. Ale Ebrahim, 2014, Simulation and optimization of a horizontal ammonia synthesis reactor using genetic algorithm,RSC Advances, 4 (13419-13429).

27-F. Moghadas Nejad, A.R. Azarhoosh, M.J. Azarhoosh, 2012, Influence of using nonmaterial to reduce the moisture susceptibility of hot mix asphalt,Construction and Building Materials, 31 (384-388).
Conference Papers/Abstracts/Posters (16)

1-M. Sedighi, M.J. Azarhoosh, 2023, Prediction of equilibrium data of CO2 gas absorption in CALF-20 metal-organic framework using Monte-Carlo simulation method,5th International Conference on Chemistry and Chemical Engineering.

2-M.J. Azarhoosh, 2022, A review of the evaluation of mesoporous ZSM-5 catalyst application in the methanol to propylene process ,2nd International Conference on Industrial Application of Advanced Materials and Manufacturing.

3-M.J. Azarhoosh, 2022, A brief review on the advantages of the sonochemical method in the synthesis of catalysts ,2nd International Conference on Industrial Application of Advanced Materials and Manufacturing.

4-M.J. Azarhoosh, 2022, A review of methods for modifying the SAPO-34 performance in the methanol to light olefins process,2nd International Conference on Industrial Application of Advanced Materials and Manufacturing.

5-M.J. Azarhoosh, T. Gharib, M.R. Taghavi, 2018, Implementing a resistive economy in oil policies by reducing crude oil sales (Persian),Twelfth National Congress of Progressive Pioneers.

6-M.J. Azarhoosh, A. Aghaeinejad Meybodi, 2017, The role of nanotechnology in the development of the oil industry (Persian),Eleventh National Congress of Progressive Pioneers.

7-F. Marzpour Shalmani, R. Halladj, S. Askari, M.J. Azarhoosh, 2015, Effect of templating agent and crystallization temperature on the crystallinity and crystallite size of SAPO-34 crystals synthesized sonochemically,The 9th International Chemical Engineering Congress & Exhibition (IChEC 2015).

8-F. Marzpour Shalmani, R. Halladj, S. Askari, M.J. Azarhoosh, 2015, Effect of heating methods on crystallization kinetics of SAPO-34 molecular sieve,The 9th International Chemical Engineering Congress & Exhibition (IChEC 2015).

9-M.J. Azarhoosh, R. Halladj, S. Askari, F. Marzpour Shalmani, 2015, Investigating the Effects of Ultrasound-Related Variables on Catalytic Properties of Sonochemically Prepared SAPO-34 Nanocatalysts in MTO Process Using ANN,The 9th International Chemical Engineering Congress & Exhibition (IChEC 2015).

10-M.J. Azarhoosh, Kh. Ghanbari, 2015, Optimization of Hydrogen production with sea water electrolysis Using two kind of swarm intelligence-based heuristic algorithm: Artificial bee colony algorithm and Particle swarm optimization ,Third Hydrogen and Fuel Cell Conference.

11-M.J. Azarhoosh, Kh. Ghanbari, 2015, Optimization of salt water electrolysis in parallel-plate electrode channel Using two kind of Evolutionary Algorithms: Genetic Algorithm and Imperialist Competitive Algorithm,Third Hydrogen and Fuel Cell Conference.

12-E. Rahmani, D. Jafari, M.J. Azarhoosh, 2014, A Neuro-fuzzy modeling tool to predict the photocatalytic activity of nano crystalline TiO2 films doped by SiO2,The first national conference on new chemical technologies and chemical engineering in Iran.

13-M.J. Azarhoosh, S.M. Banihashemi Kahangi, 2014, Optimization of dry methane reforming process using genetic algorithm ,The first national conference on new chemical technologies and chemical engineering in Iran.

14-M.J. Azarhoosh, S.M. Banihashemi Kahangi, 2014, Simulation of hydrogen production from seawater by electrochemical method (Persian),The first national conference on new chemical technologies and chemical engineering in Iran .

15-M.J. Azarhoosh, S.M. Banihashemi Kahangi, E. Rahmani, 2013, Prediction of dry methane reforming process using artificial neural networks (Persian),The First National Conference on Environment, Energy and Biodefense.

16-M.J. Azarhoosh, H. Ale Ebrahim, 2013, Investigation and comparison of different methods of hydrogen production from natural gas (Persian),First National Hydrogen Conference .
Books (2)

1-H. Ale Ebrahim, M.J. Azarhoosh, S.E. Mousavi, 2021, Synthesis gas: Simulation and optimization of different production methods ,Amirkabir University of Technology Publications .

2-H. Ale Ebrahim, M.J. Azarhoosh, S.H. Pourtarah, A.R. Rahimi, M. Talebi, 2015, Chapter 9: Simulation and Optimization of various Hydrogen and Synthesis Gas Producing Methods. In: Energy Science and Technology Vol. 11: Hydrogen and Other Technologies, ISBN: 978-1-626990-72-2.,Book Chapter.
Courses Taught (11)

1-Experimental Design, MSc.

2-Advanced Reactor Design, MSc.

3-Application of Mathematics in Chemical Engineering, B.Sc..

4-Kinetics and Reactor Design , B.Sc..

5-Refining Engineering Processes , B.Sc..

6-Energy and Mass Balance, B.Sc..

7-Statistics and Design of Experiments , B.Sc..

8-Heat Transfer 1, B.Sc..

9-Fluid Mechanics 1 , B.Sc..

10-Computer Programming, B.Sc..

11-Engineering Mathematics, B.Sc..
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