Dr. Mohammad Reza Gholamian | Supply Chain Management | Best Scholar Award.

Iran University of Science and Technology (IUST),Iran

Professional Profiles:

👨‍🎓 Bio Summary:

Dr. Mohammad Reza Gholamian is an Associate Professor at the Iran University of Science and Technology (IUST), specializing in Industrial Engineering. He received his BSc from Amirkabir University of Technology, his MSc from Isfahan University of Technology, and his Ph.D. from Amirkabir University of Technology. His research focuses on inventory models in the supply chain, supply chain network design, and multiple-criteria decision making.

🎓 Education:

Dr. Mohammad Reza Gholamian completed his academic journey with distinction, earning a Bachelor’s degree in Industrial Engineering from Amirkabir University of Technology in 1996, followed by an MSc in Industrial Engineering from Isfahan University of Technology in 1998. He later obtained his Ph.D. in Industrial Engineering from Amirkabir University of Technology in 2005.

🔍 Research Focus:

Dr. Gholamian’s research interests primarily revolve around supply chain management, with a focus on inventory models, supply chain network design, and multiple-criteria decision making. His work contributes to enhancing efficiency and resilience within supply chains through innovative modeling and decision-making techniques.

🏆 Honors & Awards:

Throughout his academic career, Dr. Gholamian has earned several prestigious awards, including the First National Rank in Ph.D., the First Rank of MSc from Isfahan University of Technology, and the First Rank of BSc from Amirkabir University of Technology.

Professional Experience: 💼

Dr. Gholamian has garnered extensive experience in both academic and corporate settings. He has served as the Manager of the ICT Research Group at the Institute for Trade Studies and Research, contributed to system development and design at the Technology Cooperation Office, and engaged in project planning and control at Iran Khodro Industries Development Co, among other roles.

📚 Top Noted Publications :

Cluster analysis using data mining approach to develop CRM methodology to assess customer loyalty

Authors: SMS Hosseini, A Maleki, MR Gholamian

Published in: Expert Systems with Applications, 2010

Volume: 37, Issue: 7

Pages: 5259-5264

Citations: 385

Full relationship among e-satisfaction, e-trust, e-service quality, and e-loyalty: The case of Iran e-banking

Authors: S Ghane, M Fathian, MR Gholamian

Published in: Journal of Theoretical and Applied Information Technology, 2011

Volume: 33, Issue: 1

Pages: 1-6

Citations: 201

A two-phase clustering method for intelligent customer segmentation

Authors: M Namvar, MR Gholamian, S KhakAbi

Presented at: 2010 International conference on intelligent systems, modeling and …

Citations: 107

Exploring the impacts of intellectual property on intellectual capital and company performance: The case of Iranian computer and electronic organizations

Authors: M Namvar, M Fathian, P Akhavan, M Reza Gholamian

Published in: Management decision, 2010

Volume: 48, Issue: 5

Pages: 676-697

Citations: 98

Credit scoring in banks and financial institutions via data mining techniques: A literature review

Authors: SM Sadatrasoul, MR Gholamian, M Siami, Z Hajimohammadi

Published in: Journal of AI and Data Mining, 2013

Volume: 1, Issue: 2

Pages: 119-129

Citations: 77

Integrated network design of wheat supply chain: A real case of Iran

Authors: MR Gholamian, AH Taghanzadeh

Published in: Computers and Electronics in Agriculture, 2017

Volume: 140

Pages: 139–147

Citations: 69

Author Metrics 📊 :

Dr. Gholamian’s contributions to academia are underscored by the impact of his work, as evidenced by his publication record in journals indexed in databases like ISI and SCOPUS. His papers have received high citation counts, reflecting their influence and relevance within the research community.

📅 Research Timeline:

Dr. Gholamian’s research journey spans several years, marked by a consistent dedication to advancing knowledge in his field. From his early years as a student to his current role as an Associate Professor, he has remained committed to exploring innovative solutions to challenges in supply chain management and decision making.