Xinyu Fei is a Ph.D. student in Industrial and Operations Engineering. Her research focuses on developing models and efficient algorithms for solving large-scale nonconvex optimization problems in complex networks. Methods include stochastic integer programming, distributed optimization, parallel computing, and statistical learning. Applications include traffic signal control, resource allocation/re-distribution, and coordination of reopen/closedown decisions during pandemic emergency response.
Advisor: Siqian Shen
Position Sought: Industry, Academia