Monica-Gabriela Cojocaru, University of Guelph

Research

dynamical systems game theory individual-based models machine learning optimization population behaviour models startistical data models

Latest papers

Expanding optimization ensemble model methods for forecasting seasonal influenza in the U.S.
Infectious Disease Modelling · 2026 · senior author
Population mobility, well-mixed clustering and disease spread: a look at COVID-19 Spread in the United States and preventive policy insights.
Mathematical biosciences and engineering : MBE · 2024 · senior author
Multiplayer games and HIV transmission via casual encounters.
Mathematical biosciences and engineering : MBE · 2017

All 3 publications

Latest funding

Modelling human behaviour response to public policy and its impact on infectious disease spread - case studies using AI/ML, data science, game theory and optimization
NSERC · 2022 · Principal investigator
$200,000
One Health Modelling Network for Emerging Infections (OMNI)
NSERC · 2020 · Co-investigator
$2,500,000
Modelling the spread of infections in a first-world child care facility: coding, analysis and policy implications_x000d_ _x000d_ _x000d_
NSERC · 2019 · Principal investigator
$60,000

All 6 grants and awards

3 publications.

01

Expanding optimization ensemble model methods for forecasting seasonal influenza in the U.S.

Longaou BB, Löster R, Yue P, Lyver D, van Bommel CM, Thommes EW, Cojocaru MG

Infectious Disease Modelling2026Senior author

DOI: 10.1016/j.idm.2026.05.007 PMID: 42317284

02

Population mobility, well-mixed clustering and disease spread: a look at COVID-19 Spread in the United States and preventive policy insights.

Lyver D, Nica M, Cot C, Cacciapaglia G, Mohammadi Z, Thommes EW, Cojocaru MG

Mathematical biosciences and engineering : MBE2024Senior author

DOI: 10.3934/mbe.2024247 PMID: 38872550

03

Multiplayer games and HIV transmission via casual encounters.

Tully S, Cojocaru MG, Bauch CT

Mathematical biosciences and engineering : MBE2017

DOI: 10.3934/mbe.2017023 PMID: 27879104

Modelling human behaviour response to public policy and its impact on infectious disease spread - case studies using AI/ML, data science, game theory and optimization

Principal investigatorNSERC2022Alliance Grants

Principal investigators: Cojocaru, Monica-Gabriela MG

Keywords: dynamical systems; game theory; individual-based models; machine learning; optimization; population behaviour models; startistical data models

$200,000

One Health Modelling Network for Emerging Infections (OMNI)

Co-investigatorNSERC2020Emerging Infectious Diseases Modelling Initiative (EIDM)

Principal investigators: Zhu, Huaiping

$2,500,000

Modelling the spread of infections in a first-world child care facility: coding, analysis and policy implications_x000d_ _x000d_ _x000d_

Principal investigatorNSERC2019Collaborative Research and Development Grants

Principal investigators: Cojocaru, Monica-Gabriela

$60,000

A mathematical model of infection prevention policies in child care facilities

Principal investigatorNSERC2016Engage Grants Program

Principal investigators: Cojocaru, MonicaGabriela

$24,000

""Nonsmooth dynamics associated to variational inequalities, generalized Nash games and applications""

Principal investigatorNSERC2012Discovery Grants Program - Individual

Principal investigators: Cojocaru, MonicaGabriela

$75,000

Deterministic and emergent dynamic models of human decision making with applications to socio-economic problems

Principal investigatorNSERC2011Discovery Grants Program - Individual

Principal investigators: Cojocaru, MonicaGabriela

$10,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Mihai Nica

Mathematics and Statistics

1 shared papers, latest 2024

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2022

Subject: Prospective PhD student: dynamical systems Dear Professor Cojocaru, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Expanding optimization ensemble model methods for forecasting seasonal influenza in the U.S." (2026), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Modelling human behaviour response to public policy and its impact on infectious disease spread - case studies using AI/ML, data science, game theory and optimization" (2022), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]