John Quilty, University of Waterloo

Research

Machine learning Big Data Data-driven models Deep learning Drinking water systems Optimization Reinforcement learning Smart water networks

Latest funding

EC-SIM - Emerging Contaminants SIMulation in drinking water distribution systems: a global physical-machine learning model
NSERC · 2023 · Principal investigator
$25,000
Leveraging Big Data to develop an expert system for the optimal operation of smart water networks
NSERC · 2021 · Principal investigator
$104,000
Leveraging Big Data to develop an expert system for the optimal operation of smart water networks
NSERC · 2021 · Principal investigator
$12,500

All 3 grants and awards

EC-SIM - Emerging Contaminants SIMulation in drinking water distribution systems: a global physical-machine learning model

Principal investigatorNSERC2023Alliance Grants

Principal investigators: Quilty, John M

Keywords: Drinking water distribution systems; Emerging contaminants; Hydraulic; Machine learning; Simulation; Water quality

$25,000

Leveraging Big Data to develop an expert system for the optimal operation of smart water networks

Principal investigatorNSERC2021Discovery Grants Program - Individual

Principal investigators: Quilty, John

Keywords: drinking water systems; smart water networks; big data; statistical/stochastic modelling; data-driven models; uncertainty assessment; reinforcement learning; optimization; machine learning; deep learning

$104,000

Leveraging Big Data to develop an expert system for the optimal operation of smart water networks

Principal investigatorNSERC2021Discovery Launch Supplement

Principal investigators: Quilty, John

$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.

Write to this professor

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Applying for

Mention their NSERC grant from 2023

Subject: Prospective PhD student: Machine learning Dear Professor Quilty, 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 machine learning 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 "EC-SIM - Emerging Contaminants SIMulation in drinking water distribution systems: a global physical-machine learning model" (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]