Moshe Gabel, York University

Research

approximate querying big data data analytics data mining edge analytics edge computing internet-of-things mobile computing

Latest funding

Efficient, General, and Accessible Distributed Stream Processing
NSERC · 2023 · Principal investigator
$72,000
Efficient, General, and Accessible Distributed Stream Processing
NSERC · 2023 · Principal investigator
$12,500

All 2 grants and awards

Efficient, General, and Accessible Distributed Stream Processing

Principal investigatorNSERC2023Discovery Grants Program - Individual

Principal investigators: Gabel, Moshe

Keywords: stream processing; edge computing; big data; data mining; approximate querying; internet-of-things; edge analytics; data analytics; mobile computing

$72,000

Efficient, General, and Accessible Distributed Stream Processing

Principal investigatorNSERC2023Discovery Launch Supplement

Principal investigators: Gabel, Moshe

$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

Mention their NSERC grant from 2023

Subject: Prospective PhD student: approximate querying Dear Professor Gabel, 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 approximate querying 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 "Efficient, General, and Accessible Distributed Stream Processing" (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]