I develop mathematical models and algorithms with provable guarantees for decision-making under uncertainty, especially in online and sequential environments where information is limited and decisions must be made before uncertainty is fully resolved, with applications in healthcare operations, service systems, and resource allocation.

1. Dynamic Optimization for Breast Cancer Screening Clinic Routing and Scheduling Y. Xu, S. Kerimov, T. Tezcan & S. Perez-Salazar. 2026.

1. Online Selection with Uncertain Disruption. Y. Xu, S. Kerimov & S. Perez-Salazar. (2025). 

   • Conference Version: 21st Conference on Web and Internet Economics (WINE 2025)

   • Journal Version: Operations Research

2. Sequential Selection with Expiration.Y. Xu, R. Ghuge & S. Perez-Salazar. (2024).

   • Conference Version: INFORMS Optimization Society Conference. 

   • Journal Version: Submitted to Manufacturing and Service Operations Management (MSOM)

3. (*) A Tensor SVD-based Classification Algorithm Applied to fMRI Data. K. Keegan, T. Vishwanath & Y. Xu. (2022)

   •  SIAM Undergraduate Research Online 15, 270-294.

   • 3rd place, Undergraduate Statistics Research Project (USRESP)