SPECTRE: Seedless Network Alignment via Spectral Centralities. - Mikhail Hayhoe; Francisco Barreras; Hamed Hassani; Victor M. Preciado (CoRR, 2018)

Data-Driven Control of the COVID-19 Outbreak via Non-Pharmaceutical Interventions: A Geometric Programming Approach. - Mikhail Hayhoe; Francisco Barreras; Victor M. Preciado (CoRR, 2020)

Multitask learning and nonlinear optimal control of the COVID-19 outbreak: A geometric programming approach. - Mikhail Hayhoe; Francisco Barreras; Victor M. Preciado (Annu. Rev. Control., 2021)

AutoEKF: Scalable System Identification for COVID-19 Forecasting from Large-Scale GPS Data. - Francisco Barreras; Mikhail Hayhoe; Hamed Hassani; Victor M. Preciado (CoRR, 2021)

A dynamical approach to efficient eigenvalue estimation in general multiagent networks. - Mikhail Hayhoe; Francisco Barreras; Victor M. Preciado (Autom., 2022)

Garden city: A synthetic dataset and sandbox environment for analysis of pre-processing algorithms for GPS human mobility data. - Thomas H. Li; Francisco Barreras (CoRR, 2024)

The exciting potential and daunting challenge of using GPS human-mobility data for epidemic modeling. - Francisco Barreras; Duncan J. Watts (Nat. Comput. Sci., 2024)