Assoc. Prof. Dr. Abdol Mohammad Ghaedi | environmental science | Best Researcher Award

Supervisor | Islamic Azad University | Iran

Abdol Mohammad Ghaedi is a lecturer in the Department of Chemistry at the Islamic Azad University, Gachsaran Branch, where he has developed extensive expertise in applied chemistry, particularly in the areas of membrane technology, adsorption processes, nanofiltration, ultrafiltration, reverse osmosis, and chemical cleaning of membranes. His academic background includes advanced studies in pure and applied chemistry, with research focusing on the preparation and application of membranes for separation and concentration processes, as well as the utilization of chemometric and artificial intelligence methods for modeling and optimization of chemical systems. He has contributed significantly to the fields of industrial chemistry and separation science through teaching courses such as Industrial Chemistry, Corrosion, and Physical and Chemical Methods of Separation, alongside supervising laboratory work in general and industrial chemistry. His research output is reflected in numerous publications in high-impact international journals, addressing topics such as adsorption of dyes and heavy metals, development of nanocomposites and nanoparticles, and predictive modeling using artificial neural networks, random forest methods, and support vector machines. His collaborative work with international scholars demonstrates a multidisciplinary approach bridging chemistry, nanotechnology, and environmental engineering. In addition, he has presented research at national and international conferences, showcasing his work on ultrafiltration membranes, adsorption systems, and predictive modeling for thermodynamic and transport properties of chemical solutions. His sustained research productivity and contributions highlight his role in advancing innovative methods for environmental remediation, water treatment, and industrial applications of chemical and nanomaterials. His research profile includes 4,161 citations by 3,061 documents, with 76 published documents indexed internationally.

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Featured Publications

• Ebrahimpoor, S., Kiarostami, V., Khosravi, M., Davallo, M., & Ghaedi, A. (2021). Optimization of tartrazine adsorption onto polypyrrole/SrFe₁₂O₁₉/graphene oxide nanocomposite using central composite design and bat inspired algorithm with the aid of artificial neural networks. Fibers and Polymers, 22(6), 1569–1583.

• Vafaei, A., Ghaedi, A. M., Avazzadeh, Z., Kiarostami, V., Agarwal, S., & Gupta, V. K. (2021). Removal of hydrochlorothiazide from molecular liquids using carbon nanotubes: Radial basis function neural network modeling and culture algorithm optimization. Journal of Molecular Liquids, 323, 114766.

• Baneshi, M. M., Ghaedi, A. M., Vafaei, A., Emadzadeh, D., Lau, W. J., Marioryad, H., & Jamshidi, A. (2020). A high-flux P84 polyimide mixed matrix membranes incorporated with cadmium-based metal organic frameworks for enhanced simultaneous dyes removal: Response surface methodology. Environmental Research, 185, 109278.

• Dehghani, M. H., Karri, R. R., Lima, E. C., Mahvi, A. H., Nazmara, S., Ghaedi, A. M., Fazlzadeh, M., & Gholami, S. (2020). Regression and mathematical modeling of fluoride ion adsorption from contaminated water using a magnetic versatile biomaterial & chelating agent: Insight on production & experimental approaches, mechanism and effects of potential interferers. Journal of Molecular Liquids, 309, 113653.

• Agarwal, S., Tyagi, I., Gupta, V. K., Ghaedi, M., Masoomzade, M., Ghaedi, A. M., & Mirtamizdoust, B. (2020). Retraction notice to “Kinetics and thermodynamics of methyl orange adsorption from aqueous solutions—artificial neural network-particle swarm optimization modeling” [Journal of Molecular Liquids, 218, 354–362]. Journal of Molecular Liquids, 306, 112621.