Analysis of models for the Stochastic Outpatient Procedure Scheduling Problem. - Karmel S. Shehadeh; Amy E. M. Cohn; Marina A. Epelman (Eur. J. Oper. Res., 2019)

A distributionally robust optimization approach for outpatient colonoscopy scheduling. - Karmel S. Shehadeh; Amy E. M. Cohn; Ruiwei Jiang (Eur. J. Oper. Res., 2020)

Distributionally robust facility location with bimodal random demand. - Karmel S. Shehadeh; Ece Sanci (Comput. Oper. Res., 2021)

A distributionally robust optimization approach for stochastic elective surgery scheduling with limited intensive care unit capacity. - Karmel S. Shehadeh; Rema Padman (Eur. J. Oper. Res., 2021)

Data-driven distributionally robust surgery planning in flexible operating rooms over a Wasserstein ambiguity. - Karmel S. Shehadeh (Comput. Oper. Res., 2022)

Stochastic optimization approaches for elective surgery scheduling with downstream capacity constraints: Models, challenges, and opportunities. - Karmel S. Shehadeh; Rema Padman (Comput. Oper. Res., 2022)

An inexact column-and-constraint generation method to solve two-stage robust optimization problems. - Man Yiu Tsang; Karmel S. Shehadeh; Frank E. Curtis (Oper. Res. Lett., 2023)

Distributionally Robust Optimization Approaches for a Stochastic Mobile Facility Fleet Sizing, Routing, and Scheduling Problem. - Karmel S. Shehadeh (Transp. Sci., 2023)

Stochastic optimization models for a home service routing and appointment scheduling problem with random travel and service times. - Man Yiu Tsang; Karmel S. Shehadeh (Eur. J. Oper. Res., 2023)

Data-driven integrated home service staffing and capacity planning: Stochastic optimization approaches. - Ridong Wang; Karmel S. Shehadeh; Xiaolei Xie; Lefei Li (Comput. Oper. Res., 2023)

On the Tradeoff Between Distributional Belief and Ambiguity: Conservatism, Finite-Sample Guarantees, and Asymptotic Properties. - Man Yiu Tsang; Karmel S. Shehadeh (INFORMS J. Optim., 2025)

Stochastic Optimization Approaches for an Operating Room and Anesthesiologist Scheduling Problem. - Man Yiu Tsang; Karmel S. Shehadeh; Frank E. Curtis; Beth R. Hochman; Tricia E. Brentjens (Oper. Res., 2025)

Can LLMs Support Medical Knowledge Imputation? An Evaluation-Based Perspective. - Xinyu Yao; Aditya Sannabhadti; Holly M. Wiberg; Karmel S. Shehadeh; Rema Padman (CoRR, 2025)