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Kharazmi University Faculty of Management Information Technology Management
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Dr. Mojtaba Farrokh
Assistant Professor of Information Technology Management
Faculty of Management
AllSince 2020
Citations645448
h-index87
i10-index74
Google Scholar
Brief CV

Education

  • Ph.D., Operations Research, University of Tehran, Iran, 2017
  • M.S., Operations Management, Shahid Beheshti University, Iran, 2013
  • B.S. Industrial Management, Iran, 2011

Dr. Mojtaba Farrokh earned his Ph.D. in Industrial Management with a concentration in Operations Research from the University of Tehran. He also received his M.S. in Industrial Management with a focus on Production and Operations Management, as well as his B.S. in Industrial Management. He has worked as a specialist and project manager in business process intelligence across various manufacturing, service, and financial companies. His research interests center on optimization models, supply chain management, and the application of artificial intelligence and machine learning in retail, banking, insurance, and manufacturing sectors. He has published numerous articles in reputable journals, including Fuzzy Sets and Systems, Computers and Operations Research, Opsearch, and Scientia Iranica.
Research Interests

  • Applied Operations Research
  • Optimization under Uncertainty
  • Development of Data-driven Systems for business applications
  • Application of Artificial Intelligence in Business
  • Supply Chain Management
  • Data Mining and Machine Learning
Courses Taught
  • Supply Chain Management
  • Data-Driven Decision Making
  • Deep Learning
  • Operations Management
  • Operations Research
  • Machin learning
Recent Publications
Farrokh, M., Sharifi, S., Hozarmoghadam, N., Raad, A., & Norouzi, A. (2025). Designing a health insurance fraud detection system using artificial intelligence algorithms. Journal of Industrial Management Perspective.‏
Farrokh, M., Zenouz, R. Y., Jamalnia, A., & Asadi, M. (2025). Sustainable Tire Closed-Loop Supply Chain Design under Uncertain Return and Demand. International Journal of Supply and Operations Management, 12(3), 364-395.
Farrokh, M., Ahmadi, E., & Sun, M. (2023). A robust stochastic possibilistic programming model for dynamic supply chain network design with pricing and technology selection decisions. Opsearch, 60(3), 1082-1120.‏
Farrokh, M., Yousefi-Zenouz, R., & Jamalnia, A. (2023). A resilient closed-loop supply chain network design through integrated sourcing and pricing strategies. Scientia Iranica.‏
ZABIHI, J. M., Farrokh, M., Hashemi, N. M. H., & Sheikh, R. Z. T. M. (2022). Investigating the Barriers of Using Blockchain Technology in Iran's Automobile Industry.‏
Farrokh, M., Azar, A., Jandaghi, G., & Ahmadi, E. (2018). A novel robust fuzzy stochastic programming for closed loop supply chain network design under hybrid uncertainty. Fuzzy Sets and Systems, 341, 69-91.
Farrokh, M., & Mosalmani, G., (2017). Investigating the Relationship between Organizational Justice and Commitment: Mediator Role of Organizational Sound and Silence, Management Researches in Iran, 21(4), 73-99. (Persian)
Ahmadi, E., Zandieh, M., Farrokh, M., & Emami, S. M. (2016). A multi objective optimization approach for flexible job shop scheduling problem under random machine breakdown by evolutionary algorithms. Computers & Operations Research, 73, 56-66.
Farrokh, M., Heydari, H., & Janani, H. (2016). Two comparative MCDM approaches for evaluating the financial performance of Iranian basic metals companies. Iranian Journal of Management Studies, 9(2), 359.
‏Kassaee, M., Nia, H. H., Nooshabadi, G. M., & Farrokh, M. (2014). An Integrated MCDM Technique Combined with DEMATEL for Achieving Agility. Global Journal of Management Studies and Researches, 1(2), 109-121.
 

Contact Dr. Farrokh

farrokh@khu.ac.ir
 
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