Woldegebriel Woldegerima, York University

Research

Artificial Intelligence Behavioural, Social-Economic, Environmental & Climate Infleu Biobehavioral Data And Modelling Control Interventions And Risk Factors Data-Driven, Mathematical And Statistical Models Epidemiological And Geospatial Modeling Inform Public Health Decision-Making Monkeypox, Zoonotic Threat And Intrusion With Stbbi

Latest funding

Perturbation Methods in Analysis of Complex Multiscale Models of Ordinary, Partial, Stochastic and Neural Differential Equations Applied to Real-world Problems
NSERC · 2023 · Principal investigator
$54,000
Perturbation Methods in Analysis of Complex Multiscale Models of Ordinary, Partial, Stochastic and Neural Differential Equations Applied to Real-world Problems
NSERC · 2023 · Principal investigator
$12,500
Modelling, predicting and risk assessment of mpox (monkeypox) and other (re)emerging zoonotic threats to inform decision-making and public health actions: mathematical, geospatial and machine learning approaches
CIHR · 2023 · Nominated PI
$480,000

All 3 grants and awards

Perturbation Methods in Analysis of Complex Multiscale Models of Ordinary, Partial, Stochastic and Neural Differential Equations Applied to Real-world Problems

Principal investigatorNSERC2023Discovery Grants Program - Individual

Principal investigators: Woldegerima, Woldegebriel Assefa

Keywords: Aggregated system; Differential equations (ODEs, PDEs, SDEs, Neural ODEs); Machine learning; Multiscale biological and physical process; Multiscale modelling; Multi-time scale, multi-size scale, multi-spatial scale; Mutliscale analysis; Reduced system; Singular perturbation theory; Tikhonov-Vasileiva theorem

$54,000

Perturbation Methods in Analysis of Complex Multiscale Models of Ordinary, Partial, Stochastic and Neural Differential Equations Applied to Real-world Problems

Principal investigatorNSERC2023Discovery Launch Supplement

Principal investigators: Woldegerima, Woldegebriel Assefa

$12,500

Modelling, predicting and risk assessment of mpox (monkeypox) and other (re)emerging zoonotic threats to inform decision-making and public health actions: mathematical, geospatial and machine learning approaches

Nominated PICIHR2023Team Grant: Mpox and zoonotic threats - Social and behavioural science

Principal investigators: Woldegerima, Woldegebriel Assefa

Keywords: Artificial Intelligence; Behavioural, Social-Economic, Environmental & Climate Infleu; Biobehavioral Data And Modelling; Control Interventions And Risk Factors; Data-Driven, Mathematical And Statistical Models; Epidemiological And Geospatial Modeling; Inform Public Health Decision-Making; Monkeypox, Zoonotic Threat And Intrusion With Stbbi; Risk Maps Assessment; Sex-And Gender-Based Analysis, Msm Community

$480,000

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

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Applying for

Mention their NSERC grant from 2023

Subject: Prospective PhD student: Artificial Intelligence Dear Professor Woldegerima, 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]. Your research on artificial intelligence 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 "Perturbation Methods in Analysis of Complex Multiscale Models of Ordinary, Partial, Stochastic and Neural Differential Equations Applied to Real-world Problems" (2023), 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]