Research Management System | Amol University of Special Modern Technologies | Mehdi Parvini

Name	Mehdi Parvini
Affiliation	Faculty of Chemical Engineering, Gas and Petroleum, Semnan University, Semnan, Iran
Degree	—
Website	—
Email	—

	Title	Journal
1	Development of a novel method for the removal of diazinon pesticide from aqueous solution and modeling by artificial neural networks (ANN)	JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY 35 (2019) 295-308
2	Removal of Diazinon from Aqueous Solutions in Batch Systems Using Cu-modified Sodalite Zeolite: an Application of Response Surface Methodology	International Journal of Engineering 28 (2019) 1552-1563
3	Artificial neural network (ANN) technique for modeling the mercury adsorption from aqueous solution using Sargassum Bevanom algae	Desalination and Water Treatment 57 (2019) 17206–17219
4	Experimental and CFD modeling of diazinon pesticide removal using fixed bed column with Cu-modified zeolite nanoparticle	Journal of the Taiwan Institute of Chemical Engineers 75 (2019) 164-173
5	An analysis of the sensitivity of fixed bed adsorption for diazinon removal: experimental and modeling studies	Desalination and Water Treatment 70 (2019) 330–338