Shuang Gao, Polytechnique Montréal

Research

control of large-scale systems network analysis mean field games optimal control machine learning network modelling

Latest funding

Large Networks of Dynamic Populations with Stochasticity: Modelling, Control and Learning
NSERC · 2024 · Principal investigator
$12,500
Large Networks of Dynamic Populations with Stochasticity: Modelling, Control and Learning
NSERC · 2024 · Principal investigator
$36,000

Large Networks of Dynamic Populations with Stochasticity: Modelling, Control and Learning

Principal investigatorNSERC2024Discovery Launch Supplement

Principal investigators: Gao, Shuang

Keywords: control of large-scale systems; network analysis; mean field games; optimal control; machine learning; network modelling

$12,500

Large Networks of Dynamic Populations with Stochasticity: Modelling, Control and Learning

Principal investigatorNSERC2024Discovery Grants Program - Individual

Principal investigators: Gao, Shuang

Keywords: control of large-scale systems; network analysis; mean field games; optimal control; machine learning; network modelling

$36,000

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 2024

Subject: Prospective PhD student: control of large-scale systems Dear Professor Gao, 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 control of large-scale systems 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 "Large Networks of Dynamic Populations with Stochasticity: Modelling, Control and Learning" (2024), 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]