Publications
Refereed Journal Publications
Li, S., Shehadeh, K.S., Tsang, M.Y. (2024). "Stochastic programming models for a fleet sizing and appointment scheduling problem with random service and travel times." Transportation Research Part C: Emerging Technologies.
Tsang, M.Y., Shehadeh, K.S., Curtis, F.E., Hochman, B., Brentjens, T.E. (2024). "Stochastic optimization approaches for the anesthesiologists and operating rooms assignment problem." Operations Research.
Tsang, M.Y., Shehadeh, K.S., Curtis, F.E. (2023). "An inexact column-and-constraint generation method to solve two-stage robust optimization problems." Operations Research Letters.
Tsang, M.Y., and Shehadeh, K.S. (2023). "Stochastic optimization models for a home service routing and appointment scheduling problem with random travel and service times." European Journal of Operational Research.
2022 Van Hoesen Family Best Publication Award
Tsang, M.Y., Sit, T., Wong, H.Y. (2022). "Robust portfolio optimization with respect to spectral risk measures under correlation uncertainty." Applied Mathematics and Optimization.
Submitted Journal Articles
Tsang, M.Y., Sit, T., Wong, H.Y. (2022). "Adaptive robust online portfolio selection." Submitted.
Shehadeh, K.S., Tsang, M.Y., Padman, R., Kilic, M. (2022). "Stochastic optimization approaches for operating room-to-downstream elective surgery planning under uncertainty." Submitted.
Finalist, 2022 INFORMS Service Science Best Cluster Paper Award
Tsang, M.Y., Shehadeh, K.S. (2022). "A unified framework for analyzing and optimizing a class of convex inequity measures." Submitted.
Finalist, 2022 INFORMS Junior Faculty Interest Group (JFIG) Best Paper Competition (under the name ``Convex fairness measures: Theory and optimization'')
Tsang, M.Y., Sit, T., Wong, H.Y. (2023). "Contextual quantile minimization for two-stage stochastic programs." Submitted.