Vahid Partovi Nia, Polytechnique Montréal

Research

Bayesian Inference Classification Clustering Computational Statistics High-dimensional Data Neural Networks Regularization Sum product networks

Latest funding

Statistical Methodology towards Technology
NSERC · 2019 · Principal investigator
$96,000
on-chip optical detection of odors
NSERC · 2017 · Co-investigator
$125,000
Algorithmic Development of Olfactive Sensors
NSERC · 2014 · Principal investigator
$25,000

All 5 grants and awards

Statistical Methodology towards Technology

Principal investigatorNSERC2019Discovery Grants Program - Individual

Principal investigators: Partovi Nia, Vahid

Keywords: Bayesian Inference; Classification; Clustering; Computational Statistics; High-dimensional Data; Neural Networks; Regularization; Sum product networks; Supervised Learning; Unsupervised Learning

$96,000

on-chip optical detection of odors

Co-investigatorNSERC2017Idea to Innovation

Principal investigators: Peter, YvesAlain

$125,000

Algorithmic Development of Olfactive Sensors

Principal investigatorNSERC2014Engage Grants Program

Principal investigators: PartoviNia, Vahid

$25,000

Shapes: Their Clustering and Evolution

Principal investigatorNSERC2012Discovery Grants Program - Individual

Principal investigators: PartoviNia, Vahid

$90,000

Modèles de caractérisation de la demande du transport collectif à l'aide de données provenant de systèmes de perception automatisés

Co-investigatorNSERC2012Collaborative Research and Development Grants

Principal investigators: Trépanier, Martin

$120,250

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 2019

Subject: Prospective PhD student: Bayesian Inference Dear Professor Partovi Nia, 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 bayesian inference 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 "Statistical Methodology towards Technology" (2019), 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]