Yuan Huang

Papers

Total Citations

423

H-Index

About

Yuan Huang is a researcher whose work sits at the forefront of modern logistics and autonomous systems, with a particular focus on last-mile delivery solutions and intelligent transportation optimization. Huang's scholarship addresses one of the most pressing challenges in contemporary supply chain management: how to efficiently and sustainably move goods from distribution centers to end consumers. Among Huang's most influential contributions is a 2021 study examining the adoption of self-driving delivery robots in last-mile logistics, which has garnered 215 citations and provided critical insights into consumer acceptance and operational integration of autonomous delivery technologies. Complementing this, Huang developed an adaptive large neighborhood search heuristic for the vehicle routing problem with time windows and delivery robots—a technically sophisticated algorithmic approach that has accumulated 208 citations, demonstrating its broad utility among operations researchers and practitioners alike. Together, these works signal Huang's ability to bridge theoretical optimization methods with real-world deployment challenges, making meaningful contributions to both computer science and logistics management. Students and researchers interested in autonomous delivery systems, combinatorial optimization, and the future of urban freight will find Huang's scholarship an essential reference point in a rapidly evolving field.