Karmel S. Shehadeh

According to our database, Karmel S. Shehadeh authored at least 16 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Unified Framework for Analyzing and Optimizing a Class of Convex Fairness Measures.

Man Yiu Tsang, Karmel S. Shehadeh

Oper. Res., 2026

Operating room-to-downstream elective surgery planning under uncertainty.

Karmel S. Shehadeh, Man Yiu Tsang, Rema Padman, Arman Kilic

Eur. J. Oper. Res., 2026

The trade-off between optimism and pessimism in multi-resource planning and allocation under demand uncertainty.

Karmel S. Shehadeh

Eur. J. Oper. Res., 2026

2025

Can LLMs Support Medical Knowledge Imputation? An Evaluation-Based Perspective.

Xinyu Yao, Aditya Sannabhadti, Holly M. Wiberg, Karmel S. Shehadeh, Rema Padman

CoRR, March, 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

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

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., November, 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., May, 2023

Distributionally Robust Optimization Approaches for a Stochastic Mobile Facility Fleet Sizing, Routing, and Scheduling Problem.

Karmel S. Shehadeh

Transp. Sci., January, 2023

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., January, 2023

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

Data-driven distributionally robust surgery planning in flexible operating rooms over a Wasserstein ambiguity.

Karmel S. Shehadeh

Comput. Oper. Res., 2022

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

Distributionally robust facility location with bimodal random demand.

Karmel S. Shehadeh, Ece Sanci

Comput. Oper. Res., 2021

2020

A distributionally robust optimization approach for outpatient colonoscopy scheduling.

Karmel S. Shehadeh, Amy E. M. Cohn, Ruiwei Jiang

Eur. J. Oper. Res., 2020

2019

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