Dr. Dr. Mohammad Taghipour

Engineering · Department Of Industrial Engineering

Sohrevardi Institute Of Higher Education, Qazvin, Iran

Author

APID

4796

ORCID

0000-0003-3720-3795

Scopus

42062226000

Google Scholar

Scholar profile

Location

Tehran, Tehran, Iran

Expertise

Essay writing, research method, statistics

Areas of interest

Industrial Engineering, Statistics, Ergonomics, Knowlege Management, Risk Management

Member since

November 2023

Biography

I hold a PhD in Industrial Engineering from Islamic Azad University, Tehran, Iran. I am a member of the Brilliant Talents in Tehran, Iran. I am also a talented member of the Young Researchers and Elites Club in Iran. I have over 17 years of teaching experience at different levels, including Statistics, Management, and Industrial Engineering. I’ve authored over 55 scientific-training publications in the fields of Statistics, Management, and Industrial Engineering. Moreover, I have presented more than 200 papers at various conferences and published/submitted more than 250 papers in various ISI and ISC journals.
Some of my honors include the following:
• The first place of the festival of elites
• The best professor of the university
• Top researcher
• The best researcher of the university
• Top PhD researcher of the university
• The best researcher of the university during my master’s degree
• …
Editor of Sustainable Economics, SIN-CHN SCIENTIFIC PRESS PTE.LTD
Editor of Building Engineering Academic Publishing Pte.Ltd
I am also an editorial board member of the following journals:
• Management (MANA) ISSN: 2617-4596
• American Journal of Engineering and Technology Management ISSN:2575-1948
• Sumerianz Publication ISSN: 2616 – 8693
• International Journal of Innovative Research and Scientific Studies (IJIRSS) ISSN: 2617-6548
• ...

Publications

1. 1- Assessing Ergonomic Risk Factors Using Combined Data Envelopment Analysis and Conventional Methods for an Auto Parts Manufacturer
2. 1- Assessing Ergonomic Risk Factors Using Combined Data Envelopment Analysis and Conventional Methods for an Auto Parts Manufacturer