Bio

As a Ph.D. candidate, I am passionate about developing sustainable supply chain network models that can help build and maintain a more efficient, resilient, and balanced supply chain network, all with the help of cutting-edge blockchain technology. My research is focused on exploring new dimensions of supply chain networks using game theory and variational inequalities.

I apply game-theoretic models to illustrate the ecosystem of entities in a supply chain, including suppliers, consumers, and middle entities, and examine how they can adapt to new environments, survive in uncertain times, and compete dynamically with each other.

Currently, I am diving into the impacts of COVID-19 on the demand for supply chains, along with competitions between entities in a sustainable reverse supply chain network. Additionally, I am exploring the application of blockchain systems in supply chain networks, taking into account the disruptive nature of this technology and how it can affect the environment where supply chain networks operate.

Prior to pursuing my Ph.D., I completed a master's degree in Industrial Engineering from the Iran University of Science and Technology, where my research focused on robust optimization modeling in reverse logistics and bi-level game models in competitive markets with one or two dominant firms.