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Dr. Pardis Roozkhosh | Supply Chain | Women Researcher Award

Dr at Allameh Tabataba’e University of Tehran,Ā  Iran

Pardis Roozkhosh is a Ph.D. candidate in Industrial Management at Ferdowsi University of Mashhad, specializing in operations research and resilient supply chains with additive manufacturing. She holds an M.S. in Industrial Engineering and a B.S. in Industrial Engineering from Sadjad University and Birjand University, respectively. She has worked as a teaching assistant and researcher at various prestigious universities, focusing on supply chain optimization, machine learning, and blockchain in industrial settings. Pardis has co-authored several peer-reviewed journal articles and conference papers and is recognized for her significant contributions to industrial engineering. She was honored with the Alborz Prize in 2024.

Profile

Scopus

šŸŽ“ EducationĀ 

Pardis completed her Ph.D. in Industrial Management (Operations Research) at Ferdowsi University of Mashhad in 2024 with a perfect GPA of 4.00/4.00. Her thesis, “Resilient Supply Chain with Additive Manufacturing Capability,” focused on optimizing supply chain systems using advanced technologies. She earned her M.S. in Industrial Engineering from Sadjad University in 2018, with a thesis on solving partial inspection problems. She completed her B.S. in Industrial Engineering from Birjand University of Technology in 2015, where she laid the foundation for her career in industrial systems optimization.

šŸ’¼ Experience

Pardis has extensive teaching experience across several universities, including Allameh Tabatabaā€™i University, Ferdowsi University of Mashhad, and Sadjad University. She has taught courses in statistics, inventory control, probability theory, financial management, and project management, among others. In addition to her teaching roles, she has contributed as a research assistant, working on projects related to logistics, supply chain optimization, and agrovoltaic modeling. Her research has been applied in both academic and industrial settings, enhancing the practical application of industrial engineering principles.

šŸ† Awards & Honors

Pardis has received multiple accolades, including the prestigious Alborz Prize, the Iranian equivalent of the Nobel Prize, in 2024. She was ranked among the top 5% of students in the nationwide Ph.D. entrance exam (Conquer) in February 2019. She also served as an executive assistant at the Journal of Systems Thinking in Practice (2022). Her achievements highlight her excellence in academia, research, and contribution to the field of industrial management.

šŸ”¬ Research Focus

Pardisā€™ research focuses on resilient supply chains, additive manufacturing, optimization models, and machine learning techniques in industrial settings. She explores the integration of blockchain, smart contracts, and Internet of Things (IoT) for enhancing supply chain sustainability and reliability. Her work includes developing models for cost uncertainty, supply chain design, and system reliability, with applications in real-world industrial problems. Pardis is particularly interested in the intersection of operations research, technology, and sustainability, aiming to revolutionize modern supply chain management.

Conclusion

Mohd Ashraf Bhat is a talented and dedicated scholar whose contributions to Functional Analysis and Operator Theory mark him as an emerging leader in the field. His exceptional research, teaching contributions, and numerous awards and recognitions demonstrate his potential to make a lasting impact. With his commitment to expanding his research horizons and collaborative efforts, Bhat is a deserving candidate for the Best Scholar Award.

šŸ“šPublicationsĀ 

  1. Trainable Monte Carlo-MLP for Cost Uncertainty in Resilient Supply Chain Optimization with Additive Manufacturing Implementation Challenges
    • Authors: Roozkhosh, P., Ghorbani, M.
    • Journal: Applied Soft Computing
    • Volume: 168
    • Article No.: 112501
    • Year: 2025

 

  1. A New Method to Optimize the Reliability of Repairable Components with a Switching Mechanism and Considering Costs and Weight Uncertainty
    • Authors: Roozkhosh, P., Saghih, A.M.F.
    • Journal: International Journal of Industrial Engineering and Production Research
    • Volume: 35(3), pp. 183-206
    • Year: 2024

 

  1. A Novel Integrated Supply Chain Model to Manage Perishable Products Demand and Quality by Applying IoT in Vendor-Managed Inventory
    • Authors: Bafandegan Emroozi, V., Modares, A., Roozkhosh, P., Agarwal, R.
    • Journal: Process Integration and Optimization for Sustainability
    • Volume: 8(4), pp. 1163-1191
    • Year: 2024

 

  1. Dynamic Analysis of Bitcoin Price Under Market News and Sentiments and Government Support Policies
    • Authors: Roozkhosh, P., Pooya, A.
    • Journal: Computational Economics
    • Volume: 64(2), pp. 1163-1198
    • Year: 2024

 

  1. Presenting a New Model for Evaluating the Factors Affecting Equipment Reliability Using System Dynamics
    • Authors: Modares, A., Pooya, A., Emroozi, V.B., Roozkhosh, P.
    • Journal: Quality and Reliability Engineering International
    • Volume: 40(5), pp. 2864-2890
    • Year: 2024

 

  1. Prioritizing Barriers to Resilience in Blood Supply Chains: An Integrated Multi-Criteria Decision-Making Approach
    • Authors: Sibevei, A., Roozkhosh, P.
    • Journal: Operations Research Forum
    • Volume: 5(2), 44
    • Year: 2024

 

  1. Designing a Changeable Multi-Level Supply Chain Network with Additive Manufacturing Capability and Costs Uncertainty: A Monte Carlo Approach
    • Authors: Roozkhosh, P., Pooya, A., Soleimani Fard, O., Bagheri, R.
    • Journal: Operational Research
    • Volume: 24(1), 5
    • Year: 2024

 

  1. A New Model to Optimize the Human Reliability Based on CREAM and Group Decision Making
    • Authors: Bafandegan Emroozi, V., Modares, A., Roozkhosh, P.
    • Journal: Quality and Reliability Engineering International
    • Volume: 40(2), pp. 1079-1109
    • Year: 2024

 

  1. Revolutionizing Supply Chain Sustainability: An Additive Manufacturing-Enabled Optimization Model for Minimizing Waste and Costs
    • Authors: Roozkhosh, P., Pooya, A., Soleimani Fard, O., Bagheri, R.
    • Journal: Process Integration and Optimization for Sustainability
    • Volume: 8(1), pp. 285-300
    • Year: 2024

 

  1. Improving Quality and Reducing Costs in Supply Chain: The Developing VIKOR Method and Optimization
    • Authors: Emroozi, V.B., Kazemi, M., Modare, A., Roozkhosh, P.
    • Journal: Journal of Industrial and Management Optimization
    • Volume: 20(2), pp. 494-524
    • Year: 2024

 

Pardis Roozkhosh | Supply Chain | Women Researcher Award

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