Benjamin Adcock, Simon Fraser University

Research

accuracy and stability of algorithms compressed sensing computational science and engineering deep learning high-dimensional approximation imaging in complex environments machine learning neural networks

Latest funding

Scientific machine learning: bridging the gap between theory and practice in deep learning for computational science and engineering applications
NSERC · 2021 · Principal investigator
$116,000
Structured compressed sensing algorithms: design, analysis and applications
NSERC · 2015 · Principal investigator
$204,000
PIMS: Pacific Institute for the Mathematical Sciences
NSERC · 2014 · Co-investigator
$9,459,122

All 3 grants and awards

Scientific machine learning: bridging the gap between theory and practice in deep learning for computational science and engineering applications

Principal investigatorNSERC2021Discovery Grants Program - Individual

Principal investigators: Adcock, Benjamin

Keywords: machine learning; deep learning; computational science and engineering; imaging in complex environments; uncertainty quantification; high-dimensional approximation; accuracy and stability of algorithms; neural networks; compressed sensing; optimal sampling

$116,000

Structured compressed sensing algorithms: design, analysis and applications

Principal investigatorNSERC2015Discovery Grants Program - Individual

Principal investigators: Adcock, Benjamin

$204,000

PIMS: Pacific Institute for the Mathematical Sciences

Co-investigatorNSERC2014Thematic Resources Support in Mathematics and Statistics

Principal investigators: Colliander, James

$9,459,122

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

Write to this professor

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Applying for

Mention their NSERC grant from 2021

Subject: Prospective PhD student: accuracy and stability of algorithms Dear Professor Adcock, 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 accuracy and stability of algorithms 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 "Scientific machine learning: bridging the gap between theory and practice in deep learning for computational science and engineering applications" (2021), 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]