2 citations · 8 across the 8 of their papers we have counts for
8 papers
On the calibration of compartmental epidemiological models
Nikunj Gupta, Anh Mai, Azza Abouzied +1
Epidemiological compartmental models are useful for understanding infectious disease propagation and directing public health policy decisions. Calibration of these models is an imp…
Scaling Package Queries to a Billion Tuples via Hierarchical Partitioning and Customized Optimization
Anh L. Mai, Pengyu Wang, Azza Abouzied +3
A package query returns a package - a multiset of tuples - that maximizes or minimizes a linear objective function subject to linear constraints, thereby enabling in-database decis…
Planning Multiple Epidemic Interventions with Reinforcement Learning
Anh Mai, Nikunj Gupta, Azza Abouzied +1
Combating an epidemic entails finding a plan that describes when and how to apply different interventions, such as mask-wearing mandates, vaccinations, school or workplace closures…
Redistributing Funds across Charitable Crowdfunding Campaigns
Matteo Brucato, Azza Abouzied, Chris Blauvelt
On Kickstarter only 36% of crowdfunding campaigns successfully raise sufficient funds for their projects. In this paper, we explore the possibility of redistribution of crowdfundin…
Scalable Package Queries in Relational Database Systems
Matteo Brucato, Juan Felipe Beltran, Azza Abouzied +1
Traditional database queries follow a simple model: they define constraints that each tuple in the result must satisfy. This model is computationally efficient, as the database sys…
PackageBuilder: From Tuples to Packages
Matteo Brucato, Rahul Ramakrishna, Azza Abouzied +1
In this demo, we present PackageBuilder, a system that extends database systems to support package queries. A package is a collection of tuples that individually satisfy base const…