ZHAO, Jingyi
POSITION/TITLE
Research Scientist
RESEARCH FIELD
Inventory routing problems, route planning problems in a medical context, customised data structures to accelerate heuristic algorithms.
EMAIL
zhaojingyi@sribd.cn
PERSONAL WEBSITE
Jingyi-poly.github.io
EDUCATION BACKGROUND
PhD in Industrial Systems Engineering and Management, National University of Singapore
Bachelor's degree in Computer Science and Technology, Northwestern Polytechnical University
BIOGRAPHY
Zhao Jingyi joined the Shenzhen Research Institute of Big Data as a research scientist since June 2024. I received my Ph.D. from the Department of Industrial Systems Engineering and Management at the National University of Singapore, as advised by Prof. Vincent Y.F. Tan and Prof. Yeow Meng Chee. Before that, I got my Bachelor's degree from the School of Computer Science at Northwestern Polytechnical University. During my undergraduate studies, I participated in the ACM International Collegiate Programming Contest (ACM-ICPC), where I secured two gold medals and one silver medal. I also received two awards for the fastest problem-solving. My research interests include the application of algorithm design in logistics and transportation planning. To date, I have published papers in high-quality SCI/SSCI journals and received the Best Paper Award at the CTS Conference in 2023. After completing my doctorate in 2023, I worked as a postdoctoral research assistant at École Polytechnique de Montréal, where I tackled a variant of the inventory routing problem under the guidance of Prof. Thibaut Vidal. I am currently serving as a reviewer for the European Journal of Operational Research (EJOR) and Computers & Operations Research (COR).
ACADEMIC PUBLICATIONS
[1] Zhao, Jingyi, et al. "A hybrid genetic search and dynamic programming-based split algorithm for the multi-trip time-dependent vehicle routing problem." European Journal of Operational Research 317.3 (2024): 921-935.
[2] Zhao, Jingyi, et al. "Adaptive large neighborhood search for the time-dependent profitable dial-a-ride problem." Computers & Operations Research 147 (2022): 105938.
[3] Wang, Weiquan, and Jingyi Zhao. "Partial linear recharging strategy for the electric fleet size and mix vehicle routing problem with time windows and recharging stations." European Journal of Operational Research 308.2 (2023): 929-948.
