In many public health settings, it is important for patients to adhere to health programs, such
as taking medications and periodic health checks. Unfortunately, beneficiaries may …

Multi-action restless multi-armed bandits (RMABs) are a powerful framework for constrained
resource allocation in which N independent processes are managed. However, previous …

Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits Page 1
Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits Aditya …

We study the dynamic cache dimensioning problem, where the objective is to decide how
much storage to place in the cache to minimize the total costs with respect to the storage and …

Motivated by applications such as machine repair, project monitoring, and anti-poaching
patrol scheduling, we study intervention planning of stochastic processes under resource …

Substance use disorder (SUD) exacts a substantial economic and social cost in the United
States, and it is crucial for SUD treatment providers to match patients with feasible, effective …

While AI is assuming omnipresence today more than ever, its adoption is still limited in
solving challenges pertaining to socially-critical problem domains such as in public health …

Artificial intelligence (AI) tools are being developed widely within society to improve decision-
making, especially in resource-constrained settings like public health. However, developing …

In the medical field, relational databases have long been the gold standard for storing and
retrieving patient information. Yet, clinical notes and transcripts provide unique challenges …