4 citations · 18 across the 12 of their papers we have counts for
12 papers
Can LLMs Support Medical Knowledge Imputation? An Evaluation-Based Perspective
Xinyu Yao, Aditya Sannabhadti, Holly Wiberg +2
Medical knowledge graphs (KGs) are essential for clinical decision support and biomedical research, yet they often exhibit incompleteness due to knowledge gaps and structural limit…
On the Trade-Off Between Distributional Belief and Ambiguity: Conservatism, Finite-Sample Guarantees, and Asymptotic Properties
Man Yiu Tsang, Karmel S. Shehadeh
We propose and analyze a new data-driven trade-off (TRO) approach for modeling uncertainty that serves as a middle ground between the optimistic approach, which adopts a distributi…
A Unified Framework for Analyzing and Optimizing a Class of Convex Fairness Measures
Man Yiu Tsang, Karmel S. Shehadeh
We propose a new framework that unifies different fairness measures into a general, parameterized class of convex fairness measures suitable for optimization contexts. First, we pr…
An inexact column-and-constraint generation method to solve two-stage robust optimization problems
Man Yiu Tsang, Karmel S. Shehadeh, Frank E. Curtis
We propose a new inexact column-and-constraint generation (i-C&CG) method to solve two-stage robust optimization problems. The method allows solutions to the master problems to be…
Stochastic Optimization Approaches for an Operating Room and Anesthesiologist Scheduling Problem
Man Yiu Tsang, Karmel S. Shehadeh, Frank E. Curtis +2
We propose combined allocation, assignment, sequencing, and scheduling problems under uncertainty involving multiple operation rooms (ORs), anesthesiologists, and surgeries, as wel…
Integrated Home Care Staffing and Capacity Planning: Stochastic Optimization Approaches
Ridong Wang, Karmel S. Shehadeh, Xiaolei Xie +1
We propose stochastic optimization methodologies for a staffing and capacity planning problem arising from home care practice. Specifically, we consider the perspective of a home c…
Equity in Stochastic Healthcare Facility Location
Karmel S. Shehadeh, Lawrence V. Snyder
We consider issues of equity in stochastic facility location models for healthcare applications. We explore how uncertainty exacerbates inequity and examine several equity measures…
Fleet Sizing and Allocation for On-demand Last-Mile Transportation Systems
Karmel S. Shehadeh, Hai Wang, Peter Zhang
The last-mile problem refers to the provision of travel service from the nearest public transportation node to home or other destination. Last-Mile Transportation Systems (LMTS), w…
Stochastic Optimization Models for a Home Service Routing and Appointment Scheduling Problem with Random Travel and Service Times
Man Yiu, Tsang, Karmel S. Shehadeh
We study a routing and appointment scheduling problem with uncertain service and travel times arising from home service practice. Specifically, given a set of customers within a se…
Data-Driven Distributionally Robust Surgery Planning in Flexible Operating Rooms Over a Wasserstein Ambiguity
Karmel S. Shehadeh
We study elective surgery planning in flexible operating rooms (ORs) where emergency patients are accommodated in the existing elective surgery schedule. Specifically, elective sur…
Stochastic Optimization Models for Location and Inventory Prepositioning of Disaster Relief Supplies
Karmel S. Shehadeh, Emily L. Tucker
We consider the problem of preparing for a disaster season by determining where to open warehouses and how much relief item inventory to preposition in each. Then, after each disas…
Distributionally Robust Optimization Approaches for a Stochastic Mobile Facility Fleet Sizing, Routing, and Scheduling Problem
Karmel S. Shehadeh
We propose two distributionally robust optimization (DRO) models for a mobile facility (MF) fleet sizing, routing, and scheduling problem (MFRSP) with time-dependent and random dem…