A Polya urn-based model for epidemics on networks. - Mikhail Hayhoe; Fady Alajaji; Bahman Gharesifard (ACC, 2017)

Curing with the Network Polya Contagion Model. - Mikhail Hayhoe; Fady Alajaji; Bahman Gharesifard (ACC, 2018)

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

A Polya Contagion Model for Networks. - Mikhail Hayhoe; Fady Alajaji; Bahman Gharesifard (IEEE Trans. Control. Netw. Syst., 2018)

Curing Epidemics on Networks Using a Polya Contagion Model. - Mikhail Hayhoe; Fady Alajaji; Bahman Gharesifard (IEEE/ACM Trans. Netw., 2019)

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)

Stable and Transferable Hyper-Graph Neural Networks. - Mikhail Hayhoe; Hans Riess; Victor M. Preciado; Alejandro Ribeiro (CoRR, 2022)

Transferable Hypergraph Neural Networks via Spectral Similarity. - Mikhail Hayhoe; Hans Riess; Michael M. Zavlanos; Victor M. Preciado; Alejandro Ribeiro (LoG, 2023)