Postdoc Researcher | Universidad Catolica del Norte | Chile
Dr. Pardis Roozkhosh is an accomplished scholar and educator in Industrial Management and Operations Research at Ferdowsi University of Mashhad, renowned for her expertise in supply chain optimization, additive manufacturing, machine learning, and system dynamics. Her professional experience includes teaching at several universities and contributing to high-impact research projects such as logistics optimization in Razavi Khorasan and agrovoltaic modeling with the University of Sydney. Dr. Roozkhosh’s research focuses on developing resilient, sustainable, and data-driven supply chain models, integrating AI, blockchain, and IoT technologies to enhance operational efficiency and decision-making under uncertainty. She has published extensively in prestigious international journals, including Applied Soft Computing, Operations Management Research, and Quality and Reliability Engineering International, with significant contributions to multi objective optimization, reliability analysis, and sustainability modeling. A recipient of the Alborz Prize (Iran’s oldest national science award) and recognized among the top young scientific talents in her province, Dr. Roozkhosh also serves as Executive Assistant at the Journal of Systems Thinking in Practice and as a reviewer for leading journals such as Expert Systems with Applications, IEEE Access, and Scientific Reports. Her academic excellence, interdisciplinary approach, and leadership in research and education position her as a promising contributor to advancing sustainable industrial and supply chain systems globally. Her research impact includes 250 citations, 21 publications, and an h-index of 9.
Profiles: Scopus | ORCID | Google Scholar
Featured Publications
1. Roozkhosh P., Modares A., Emroozi V.B., Modares A., A Bayesian best-worst approach with blockchain integration for optimizing supply chain efficiency through supplier selection. Supply Chain Analytics, 2025, 9, 100100.
2. Mousavi S.S., Pooya A., Roozkhosh P., Pakdaman M., A new bi-objective simultaneous model for timetabling and scheduling public bus transportation. Opsearch, 2025, 62 (1), 198–229.
3. Ganjloo A., Motahari Farimani N., Rezaee Nik E., Roozkhosh P., A new fuzzy multi-objective model for selecting capital projects in the public sector. Journal of Industrial and Systems Engineering, 2023, 14 (4), 210–233.
4. Saghih P.R.A.M.F., A new method to optimize the reliability of repairable components with a switching mechanism and considering costs and weight uncertainty. International Journal of Industrial Engineering, 2024, 35 (3), 1–24.
5. Roozkhosh P., Bafandegan Emroozi V., Modares A., A new model to design a product under redundancy allocation problem and MCDM. International Journal of System Assurance Engineering and Management, 2025, 16 (1), Accepted.
Dr. Pardis Roozkhosh’s research advances sustainable industrial systems by integrating artificial intelligence, blockchain, and optimization modeling to enhance supply chain resilience and decision-making under uncertainty. Her innovative approaches bridge science and industry, driving global progress toward smarter, more efficient, and environmentally responsible operations.