Mahdi Moeini

Papers

Total Citations

126

H-Index

About

Mahdi Moeini is a researcher specializing in combinatorial optimization, logistics, and autonomous vehicle routing, with a particular focus on the integration of emerging delivery technologies such as drones, robots, and autonomous ground vehicles into classical routing frameworks. His work addresses some of the most pressing challenges in modern last-mile delivery and intelligent transportation systems. Moeini's most influential contribution, "The Multiple Traveling Salesman Problem in Presence of Drone- and Robot-Supported Packet Stations" (2022), has garnered 88 citations, reflecting the timeliness and relevance of his research in an era of rapid growth in unmanned delivery systems. This work extends classical multi-agent routing theory to incorporate hybrid human-autonomous delivery infrastructures. His earlier studies, including the Truck-Drone-ATV Routing Problem (2019) and the Drone-Assisted Traveling Salesman Problem with Robot Stations (2020), each accumulating 19 citations, laid important theoretical groundwork by introducing novel problem formulations that combine traditional vehicle routing with drone and robotic station coordination. Through rigorous algorithmic approaches, including genetic algorithms and mathematical modeling, Moeini has consistently pushed the boundaries of what is computationally tractable in multi-modal routing optimization, making his work essential reading for researchers in operations research and autonomous logistics.