Mengyu Huang

Hong Kong University of Science and Technology

Papers

Total Citations

H-Index

About

Mengyu Huang is a researcher specializing in industrial automation and systems optimization, with a particular focus on the design and efficiency of conveyor-based sorting systems. Her most cited work, "Optimal Design of a Conveyor-Based Automatic Sorting System" (2020), addresses a critical challenge in packaging logistics: maximizing throughput in automated environments. In this study, Huang introduces a probabilistic model of the entire sorting system, incorporating the distribution of incoming orders to inform both the sequencing of products and the action policy of the robotic arm. This integrated approach allows for the simultaneous optimization of system design and operational control, offering a framework that can significantly reduce bottlenecks and improve sorting accuracy. While her citation count is still growing—reflecting the early stage of her career—her work has already provided a foundational model for researchers and engineers working on smart warehouse automation. Huang’s contributions are particularly relevant to the expanding field of logistics 4.0, where data-driven design is key to handling increasingly complex and high-volume order fulfillment. Her research promises to influence future developments in autonomous sorting and material handling systems.