In recent years, a number of models involving different compatibilities between jobs and
servers in queueing systems, or between agents and resources in matching systems, have …

Nonprofit crowdsourcing platforms such as food recovery organizations rely on volunteers to
perform time-sensitive tasks. Thus, their success crucially depends on efficient volunteer …

Service platforms must determine rules for matching heterogeneous demand (customers)
and supply (workers) that arrive randomly over time and may be lost if forced to wait too long …

We study the problem of learning, from observational data, fair and interpretable policies that
effectively match heterogeneous individuals to scarce resources of different types. We model …

Crowdsourced transportation by independent suppliers (or drivers) is central to urban
delivery and mobility platforms. While utilizing crowdsourced resources has several …

We study matching queues with abandonment. The simplest of these is the two-sided queue
with servers on one side and customers on the other, both arriving dynamically over time …

In this work, we revisit the multi-item order fulfillment model introduced by Jasin and Sinha
(2015). Specifically, we study a dynamic setting in which an e-commerce platform (or online …

In this paper, we consider a double-ended queue with First-Come-First-Match discipline
(also known as matched queues) under customers' flexible and impatient behaviors. Such a …

Problem definition: Agents in online marketplaces (such as ridesharing and freelancing
platforms) are often strategic, and heterogeneous in their compatibility with different types of …

Motivated by a service platform, we study a two-sided network where heterogeneous
demand (customers) and heterogeneous supply (workers) arrive randomly over time to get …