Mahdi Alizadeh | Water Treatment | Young Scientist Award

🌟Mr. Mahdi Alizadeh, Water Treatment, Young Scientist Award🏆

Sahand University of Technology, Iran,
Professional Profiles:

Bio Summary:

Mahdi Alizadeh is a dedicated chemical engineer and researcher based in Tabriz, Iran. Born on July 23, 1997, he holds a strong academic background and has established himself as a notable contributor to the fields of water treatment, molecular dynamics, and artificial intelligence. His expertise lies in membrane separation, adsorption processes, and polymer chemistry, with a commitment to advancing sustainable solutions in chemical engineering.

Education:

M.Sc. in Chemical Engineering (2019-2022):

Thesis: Experimental study on graphene oxide grafted polyacrylic acid polymer adsorbent for sodium ion removal from water.

GPA: 3.54/4

Supervisors: Dr. Ali Akbari, Dr. Majid Abdoli

Advisor: Dr. Hossein Roghani-Mamaqani

B.Sc. in Chemical Engineering (2015-2019):

Project: Simulation of TE-120 shell and tube heat exchanger at Tabriz Oil Refining Company’s distillation unit.

Research Focus:

Mahdi’s research interests span water treatment, process simulation, molecular dynamics, artificial intelligence, membrane separation, adsorption processes, energy storage, and polymer chemistry.

Professional Journey:

Research Experiences (2019-Present):

Water Treatment Research Center, Sahand University of Technology

Research Laboratory of Molecular Dynamics, Farhangian University

Polymeric Materials Research Center, Sahand University of Technology

Work Experiences:

Research Assistant at Sahand University of Technology (Oct 2019-Present)

Honors & Awards:

Team Leader (2020-Present)

Top student of Sahand University of Technology (2019-2021)

Ranked 8th in the first round of the Moscow Mathematical tournament (2014)

Selected student in the provincial level of the 9th and 10th Astronomy and Astrophysics Olympiad (2013-2014)

Publications Top Noted & Contributions:

Mahdi Alizadeh has made notable contributions to the scientific community with several published articles and book chapters. Some significant publications include:

Title:A theoretical investigation into the effects of functionalized graphene nanosheets on dimethyl sulfoxide separation”

  • Authors: N Ajalli, M Alizadeh, A Hasanzadeh, A Khataee, J Azamat
  • Journal: Chemosphere
  • Volume: 297
  • Pages: 134183
  • Year: 2022

Title: “Molecular dynamic simulation and artificial neural network (ANN) modeling of the functionalized graphene oxide membranes on Cr (VI) ion removal through electrodialysis method”

  • Authors: A Hasanzadeh, M Alizadeh, N Ajalli, J Azamat, M Jahanshahi
  • Journal: Journal of Molecular Liquids
  • Volume: 383
  • Pages: 122083
  • Year: 2023

Title: “Functionalized nanofibrous mats for gas separation applications”

  • Authors: M Alizadeh, N Ajalli, A Hasanzadeh, J Azamat
  • Book: Functionalized Nanofibers
  • Pages: 579-615
  • Year: 2023

Title: “Understanding the performance of RHO type zeolite membrane for CH4/N2 separation based on molecular dynamics and deep neural network methods”

  • Authors: F Ghasemi, M Alizadeh, J Azamat, H Erfan-Niya
  • Journal: Journal of Molecular Graphics and Modelling
  • Volume: 127
  • Pages: 108673
  • Year: 2024

Title: “A computational investigation of DMSO/water separation through functionalized GO multilayer nanosheet membrane using molecular dynamics simulation and deep neural network model”

  • Authors: M Alizadeh, A Hasanzadeh, N Ajalli, J Azamat
  • Journal: Chemosphere
  • Volume: 349
  • Pages: 140802

Author Metrics:

Citations: 8

Documents: 4

H-Index: 1

Research Timeline:

2019-Present: Research Assistant at Sahand University of Technology

2020-Present: Volunteer Research Assistant and Team Leader at Farhangian University

2021-Present: Instructor at Sahand University of Technology (Python programming course)

This summary provides a comprehensive overview of Mahdi Alizadeh’s academic journey, research focus, professional experiences, recognitions, contributions, author metrics, and research timeline.