Julie Cool, University of British Columbia

Research

Continuous process control Fracture mechanics Neural network and data mining Primary wood transformation Process optimization Product quality Sensor selection and features Surface characterization

Latest funding

Developing a continuous quality control method for the sawmilling process using sensory features and advanced data mining approaches
NSERC · 2022 · Principal investigator
$78,000
Achieving quality control during veneer drying by using big data statistics
NSERC · 2016 · Principal investigator
$25,000
Modelling wood fracture mechanics in primary wood products manufacturing
NSERC · 2015 · Principal investigator
$168,000

All 3 grants and awards

Developing a continuous quality control method for the sawmilling process using sensory features and advanced data mining approaches

Principal investigatorNSERC2022Discovery Grants Program - Individual

Principal investigators: Cool, Julie

Keywords: primary wood transformation; wood machining; fracture mechanics; process optimization; surface characterization; sensor selection and features; neural network and data mining; continuous process control; product quality

$78,000

Achieving quality control during veneer drying by using big data statistics

Principal investigatorNSERC2016Engage Grants Program

Principal investigators: Cool, Julie

$25,000

Modelling wood fracture mechanics in primary wood products manufacturing

Principal investigatorNSERC2015Discovery Grants Program - Individual

Principal investigators: Cool, Julie

$168,000

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

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Mention their NSERC grant from 2022

Subject: Prospective PhD student: Continuous process control Dear Professor Cool, 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 continuous process control 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 "Developing a continuous quality control method for the sawmilling process using sensory features and advanced data mining approaches" (2022), 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]