Zhenyu Wu

Zhenyu Wu holds a master's degree in Management Science and Engineering from the University of Science and Technology of China (USTC), with a specialization in mathematical modeling and optimization algorithms. During his time at USTC, he focused on nesting and scheduling in the additive manufacturing (AM) industry, where he developed innovative solutions for addressing batch-processing-machine (BPM) scheduling challenges.

 

At SF Express, where he served as an Operations Research and Optimization Algorithm Engineer for 1.5 years, Zhenyu leveraged his expertise to tackle multifaceted combinatorial optimization problems such as the optimization of Less-than-truckload (LTL) Load Plan Design, which improved cost efficiency, timely deliveries, and resource allocation in logistics operations.

 

Currently, Zhenyu is pursuing a PhD in the INOCS team at Centre Inria de l'Université de Lille, focusing on the "Seamless Shared Urban Mobility" project in collaboration with TU Delft's SUM-Lab. His current research area lies in Integrated Planning and Operations of New/Shared Mobility Services and Public Transport.