Zahra Seyedzadeh at Iran university of science and technology, Iran.
Zahra Sadat Seyedzadeh is a dedicated researcher and analyst specializing in industrial engineering, optimization, and systems analysis. She has contributed significantly to research projects in supply chain design, emergency medical services, and machine learning applications. As a distinguished researcher under Iran’s National Elites Foundation, she has been involved in impactful studies on sustainable supply chains, data analytics, and decision-making techniques.
Professional Profile:
Scopus
Education Background
- Ph.D. in Industrial Engineering (Optimization & Systems Analysis) – Iran University of Science and Technology (2021–Present, Exceptional Talent Admission, GPA: 18.86/20)
- M.Sc. in Industrial Engineering (Optimization & Systems Analysis) – Iran University of Science and Technology (2017–2019, GPA: 17.79/20)
- B.Sc. in Industrial Engineering – Ershad University (2013–2017, GPA: 18/20)
Professional Development
Zahra has gained diverse experience across research and industry. She interned at the Institute for Research and Planning in Commerce and served as an Analyst at the Customs Administration of Iran. Recognized as a Distinguished Researcher under the Shahid Ahmadi Roshan Program, she has actively contributed to research and planning initiatives in commerce, logistics, and industrial systems.
Research Focus
Her research focuses on supply chain optimization, decision-making techniques, emergency medical services network design, data mining applications, and machine learning in supply chain forecasting. She has worked extensively on designing robust and sustainable supply chain networks under uncertainty, ranking suppliers, and preprocessing methods for diverse data types.
Author Metrics:
- Publications in High-Impact Journals, including Science of the Total Environment (IF: 8.2, Q1) and Journal of Industrial and Systems Engineering (Q3)
- Conference Presentations, including the 17th Iranian International Industrial Engineering Conference on emergency medical services and supply chain disruption management
- Bibliometric Analysis Expertise using VOSviewer and CiteSpace
Awards and Honors:
- Distinguished Researcher, Shahid Ahmadi Roshan Program, Iran’s National Elites Foundation
- Exceptional Talent Admission, Ph.D. Program, Iran University of Science and Technology\
Publication Top Notes
1. Towards a Sustainable Viticultural Supply Chain under Uncertainty: Integration of Data Envelopment Analysis, Artificial Neural Networks, and a Multi-Objective Optimization Model
- Journal: Science of the Total Environment (Impact Factor: 8.2, Q1)
- Authors: Zahra Sadat Seyedzadeh, Mohammad Saeed Jabalameli, Ehsan Dehghani
- Publication Year: 2025
- Abstract: This study integrates data envelopment analysis (DEA), artificial neural networks (ANNs), and a multi-objective optimization model to develop a sustainable viticultural supply chain under uncertainty. It provides a robust framework for improving efficiency, resilience, and environmental sustainability in the wine industry.
2. A Robust Scenario-Based Model for Locating Emergency Medical Services Bases
- Journal: Journal of Industrial and Systems Engineering (Impact Factor: 0.694, Q3)
- Authors: Zahra Sadat Seyedzadeh, Mohammad Saeed Jabalameli, Ehsan Dehghani
- Abstract: This research proposes a robust scenario-based model for optimizing emergency medical services (EMS) base locations, addressing uncertainty, demand fluctuations, and resource allocation efficiency to enhance emergency response times and service coverage.
3. Emergency Medical Services Network Design under Uncertainty
- Conference: 17th Iranian International Industrial Engineering Conference
- Authors: Zahra Sadat Seyedzadeh, Mohammad Saeed Jabalameli, Saeed Yaghoubi
- Abstract: The study focuses on designing a resilient EMS network, incorporating stochastic demand modeling and robust optimization techniques to improve emergency response effectiveness in unpredictable environments.
4. Emergency Medical Services Supply Chain Network Design and Backup Services under Disruption
- Conference: 17th Iranian International Industrial Engineering Conference
- Authors: Zahra Sadat Seyedzadeh, Mohammad Saeed Jabalameli
- Abstract: This paper examines EMS network vulnerabilities and proposes a backup service strategy to ensure continuity of care and resource allocation in cases of service disruptions due to disasters or infrastructure failures.
Conclusion
Zahra Sadat Seyedzadeh is a strong candidate for a Best Researcher Award, given her exceptional research output, interdisciplinary expertise, and recognized academic achievements. She has demonstrated high-impact research in supply chain optimization, EMS design, and machine learning applications, with publications in top-tier journals.
To further strengthen her research profile, she could focus on international collaborations, real-world applications of her models, and leadership roles in large research projects. Overall, her contributions to industrial engineering and systems optimization make her a highly deserving candidate for the award.