She | Her | Hers
B.S. in Mathematics and Applied Mathematics from Xi’an Jiaotong University, China
Stochastic programming; distributionally robust optimization; integer programming; transportation and logistics; supply chain management; healthcare
Advisor: Siqian Shen
Position Sought: Industry, Academia
Xian Yu is currently a fifth-year Ph.D. candidate in Industrial and Operations Engineering at the University of Michigan, advised by Prof. Siqian Shen. Her research interests are in large-scale sequential decision-making and optimization under uncertainty. Her thesis focuses on utilizing special problem structures and deriving efficient algorithms for solving related problems in smart transportation, logistics, supply chain management and healthcare.
Awards & Service
Katta Murty Prize for Best Research Paper on Optimization, IOE Department
Michigan Institute for Computational Discovery and Engineering (MICDE) Fellowship, University of Michigan
 Yu, X., Shen, S., Wang, H., “Integrated vehicle routing and service scheduling under time and cancellation uncertainties with application in non-emergency medical transportation,” to appear in Service Science, 2021.
 Yu, X., Shen, S., “Multistage distributionally robust mixed-integer programming with decision-dependent moment-based ambiguity sets,” to appear in Mathematical Programming, October 2020.
 Yu, X., Shen, S., “An integrated decomposition and Approximate Dynamic Programming approach for on-demand ride pooling,” IEEE Transactions on Intelligent Transportation Systems, 21(9), 3811-3820, 2020.