Mr. Mehran Saeedi | Supply Chain | Best Researcher Award

Researcher, University of Tehran, Iran

Mr. Mehran Saeedi is an accomplished researcher specializing in circular economy, sustainable supply chain management, transportation, artificial intelligence, mathematical modelling, multi-criteria decision-making and optimization algorithms, with a proven record of academic excellence and practical application. Mr. Mehran Saeedi earned a Master of Science in Systems Optimization from the University of Tehran under the supervision of Prof. Reza Tavakoli-Moghaddam, ranking first in his cohort, and previously obtained a Bachelor of Science in Industrial Engineering from Golestan University, also graduating first among his peers. His master’s dissertation focuses on sustainable and resilient agricultural supply chains for net-zero goals from a circular economy and stochastic modelling perspective, already accepted in a leading international journal, while his undergraduate project addressed design of experiments for quality control in the electronics sector.  His research interests extend to designing closed-loop and green supply chain networks, scenario-based stochastic programming, robust multi-objective optimization, and the application of artificial intelligence to improve sustainability outcomes across industries. His publications in high-ranked journals with over 30publications, 36+ citations, and an h-index of 2, such as Computers & Industrial Engineering and International Journal of Production Economics reflect a consistent record of scientific innovation and practical applicability. Mr. Mehran Saeedi has been recognized for ranking first at both undergraduate and postgraduate levels, has served as a teaching assistant for core engineering courses, and holds certificates of reviewing for prestigious logistics and transportation journals, reflecting his commitment to the scholarly community.

Profile: GOPOGLE SCHOLAR | SCOPUS

Featured Publications

Saeedi, M. (2024). Designing a two-stage model for a sustainable closed-loop electric vehicle battery supply chain network: A scenario-based stochastic programming approach. Computers & Industrial Engineering. (Cited by 12)

Saeedi, M. (2024). Multi-objective optimization for a green forward-reverse meat supply chain network design under uncertainty: Utilizing waste and by-products. Computers & Industrial Engineering. (Cited by 9)

Saeedi, M. (2025). Sustainable cast iron supply chain network design: Robust multi-objective optimization with scenario reduction via genetic algorithm. International Journal of Production Economics. (Cited by 7)

Saeedi, M. (n.d.). A queueing theory approach for a bi-objective mathematical model to optimize a biomass supply chain network considering environmental impacts and solar panels. Environment, Development and Sustainability.