Mohammad Hosseini

About

Overview

Seyed Mohammad Hosseini is a dedicated Ph.D. student specializing in operations research, with a primary focus on optimization and its applications in designing supply chain networks, city logistics, and transportation systems. His academic journey began with a master's degree from Isfahan University of Technology, where he developed a thesis centered on designing a blood supply chain network for disaster scenarios, showcasing his ability to address critical, real-world challenges through advanced modeling techniques.
In addition to his expertise in optimization, Seyed Mohammad has a strong interest in integrating machine learning algorithms with heuristic methods to solve complex optimization problems, reflecting his commitment to advancing innovative and computationally efficient solutions in his field. His research aims to bridge theoretical advancements and practical applications, contributing to the development of smarter, more resilient logistical and transportation networks.

Qualifications

• Ph.D. student in Transportation and Logistics Optimization, City, University of London, United Kingdom, Oct 2024

Languages

English (can read, write, speak, understand spoken and peer review), Kurdish (can read, write, speak, understand spoken and peer review) and Persian (can read, write, speak, understand spoken and peer review).

Publications