activity
20192024
most citedMatching Queues with Reneging: a Product Form Solution

34 citations · 35 across the 7 of their papers we have counts for

collaborators

9 papers

math.OC2024

Idle wage as a tool to regulate the relationship between ride-hailing platforms and drivers

Andrés Fielbaum, David Salas, Ruilin Zhang +1

Ride-hailing platforms typically classify drivers as either employees or independent contractors. These classifications tend to emphasize either wage certainty or flexibility, but…

math.OC2023

Electric Vehicle Fleet and Charging Infrastructure Planning

Sushil Mahavir Varma, Francisco Castro, Siva Theja Maguluri

We study electric vehicle (EV) fleet and charging infrastructure planning in a spatial setting. With customer requests arriving continuously at rate throughout the day, we dete…

math.PR2022

Power-of- Choices Load Balancing in the Sub-Halfin Whitt Regime

Sushil Mahavir Varma, Francisco Castro, Siva Theja Maguluri

We consider the load balancing system under Poisson arrivals, exponential services, and homogeneous servers. Upon arrival, a job is to be routed to one of the servers, where it is…

cs.GT2021

Randomized FIFO Mechanisms

Francisco Castro, Hongyao Ma, Hamid Nazerzadeh +1

We study the matching of jobs to workers in a queue, e.g. a ridesharing platform dispatching drivers to pick up riders at an airport. Under FIFO dispatching, the heterogeneity in t…

econ.TH2021

Mechanism Design under Approximate Incentive Compatibility

Santiago Balseiro, Omar Besbes, Francisco Castro

A fundamental assumption in classical mechanism design is that buyers are perfect optimizers. However, in practice, buyers may be limited by their computational capabilities or a l…

math.OC2020★ 1 cited

Near Optimal Control in Ride Hailing Platforms with Strategic Servers

Sushil Mahavir Varma, Francisco Castro, Siva Theja Maguluri

Motivated by applications in online marketplaces such as ride-hailing, we study how strategic servers impact the system performance. We consider a discrete-time process in which, h…