Hossein Talebzadeh is currently with the Department of Computer Engineering at the Science and Research Branch, Islamic Azad University, Iran. His research focuses on the application of machine learning, structural equation modeling, and optimization techniques to solve complex problems in various fields, including supply chain management and medical diagnosis. His recent work has been published in journals such as Sustainability, International Journal of Science and Engineering Applications, and Multiscale and Multidisciplinary Modeling, Experiments and Design. His publications include "Lean, agile, resilient, green, and sustainable (LARGS) supplier selection using multi-criteria structural equation modeling under fuzzy environments" and "Forecasting Gold Prices with MLP Neural Networks: A Machine Learning Approach."

 

He joined the editorial board of Transnational Supply Chain Research on August 30, 2025, as an editorial member.