Elaheh Fata, Queen's University

Research

Read how they describe their research on their Queen's University profile.

Data-driven revenue management online marketplaces online matching machine learning fairness in machine learning

Latest funding

Development of a data-driven Llfe-cycle greenhouse gas emissions decision tool for municipal organic waste management
NSERC · 2022 · Co-investigator
$983,900

All 1 grants and awards

No publications available.

Development of a data-driven Llfe-cycle greenhouse gas emissions decision tool for municipal organic waste management

Co-investigatorNSERC2022Alliance Grants

Principal investigators: Koupaie, Ehssan EO

Keywords: Circular Economy; Data-driven Optimization; Decision Making; Greenhouse Gas Emissions; Life Cycle Assessment; Organic Waste Management; Sustainability; Waste to Resource

$983,900

From public funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998 with their latest competition results, the Canada Foundation for Innovation, Genome Canada, the Canadian Space Agency, Canada Research Chairs, the Fonds de recherche du Québec, Ontario research funding, Michael Smith Health Research BC, the Canadian Cancer Society, Heart & Stroke and Brain Canada.

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Applying for

Subject: Prospective PhD student: Data-driven revenue management Dear Professor Fata, 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 data-driven revenue management 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]