Boxin Tang, Simon Fraser University

Research

baseline parametrization computer experiment fractional factorial Gaussian process Hadamard matrix Latin hypercube minimum aberration optimality and robustness

Latest funding

Baseline designs, space-filling designs and big data research
NSERC · 2020 · Principal investigator
$258,000
Design Methodology for Computer and Physical Experiments
NSERC · 2015 · Principal investigator
$125,000
Space-filling designs and robust orthogonal arrays
NSERC · 2009 · Principal investigator
$170,000

All 7 grants and awards

Baseline designs, space-filling designs and big data research

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Tang, Boxin

Keywords: baseline parametrization; computer experiment; fractional factorial; gaussian process; hadamard matrix; latin hypercube; minimum aberration; optimality and robustness; orthogonal array; subdata selection

$258,000

Design Methodology for Computer and Physical Experiments

Principal investigatorNSERC2015Discovery Grants Program - Individual

Principal investigators: Tang, Boxin

$125,000

Space-filling designs and robust orthogonal arrays

Principal investigatorNSERC2009Discovery Grants Program - Individual

Principal investigators: Tang, Boxin

$170,000

Forest products stochastic modeling group

Co-investigatorNSERC2009Collaborative Research and Development Grants

Principal investigators: Zidek, James

$490,000

Space-filling designs and robust orthogonal arrays

Principal investigatorNSERC2009Discovery Grants Program - Accelerator Supplements

Principal investigators: Tang, Boxin

$120,000

Computing network enhancement

Co-investigatorNSERC2005Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Lockhart, Richard

$8,000

Theory and applications of fractional factorial designs

Principal investigatorNSERC2004Discovery Grants Program - Individual

Principal investigators: Tang, Boxin

$125,000

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 2020

Subject: Prospective PhD student: baseline parametrization Dear Professor Tang, 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 baseline parametrization 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 "Baseline designs, space-filling designs and big data research" (2020), 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]