Sara Séguin, Université du Québec à Chicoutimi

Research

Graphical processing unit Hydropower optimization Machine learning Mathematical modeling Operations research Optimization methods Parallel computing Stochastic programming

Latest funding

Optimization models, methods and algorithms applied to hydropower operations planning
NSERC · 2018 · Principal investigator
$182,000
Optimization models, methods and algorithms applied to hydropower operations planning
NSERC · 2018 · Principal investigator
$12,500

All 2 grants and awards

Optimization models, methods and algorithms applied to hydropower operations planning

Principal investigatorNSERC2018Discovery Grants Program - Individual

Principal investigators: Séguin, Sara

Keywords: hydropower optimization; unit commitment; operations research; mathematical modeling; optimization methods; stochastic programming; machine learning; parallel computing; graphical processing unit

$182,000

Optimization models, methods and algorithms applied to hydropower operations planning

Principal investigatorNSERC2018Discovery Launch Supplement

Principal investigators: Séguin, Sara

$12,500

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

Subject: Prospective PhD student: Graphical processing unit Dear Professor Séguin, 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 graphical processing unit connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] 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]