Mark Coates, McGill University

Research

Bayesian inference Continual learning Graph neural networks Graphs Sequential inference Time series analysis Uncertainty

Latest papers

DECT-CLUST: Dual-Energy CT Image Clustering and Application to Head and Neck Squamous Cell Carcinoma Segmentation.
Diagnostics (Basel, Switzerland) · 2022
Time-domain microwave breast cancer detection: extensive system testing with phantoms.
Technology in cancer research & treatment · 2013
Microwave radar and microwave-induced thermoacoustics: dual-modality approach for breast cancer detection.
IEEE transactions on bio-medical engineering · 2013 · senior author

All 3 publications

Latest funding

Bayesian Learning for Graph Data
NSERC · 2023 · Principal investigator
$100,000
A machine learning algorithm to predict individual risk of head and neck cancers in clinical settings
CIHR · 2017 · Co-investigator
$75,000
Low-power RF breast health monitor
NSERC · 2017 · Co-investigator
$335,938

All 12 grants and awards

3 publications.

01

DECT-CLUST: Dual-Energy CT Image Clustering and Application to Head and Neck Squamous Cell Carcinoma Segmentation.

Chamroukhi F, Brivet S, Savadjiev P, Coates M, Forghani R

Diagnostics (Basel, Switzerland)2022

DOI: 10.3390/diagnostics12123072 PMID: 36553079

02

Time-domain microwave breast cancer detection: extensive system testing with phantoms.

Porter E, Santorelli A, Coates M, Popovic M

Technology in cancer research & treatment2013

DOI: 10.7785/tcrt.2012.500307 PMID: 23098283

03

Microwave radar and microwave-induced thermoacoustics: dual-modality approach for breast cancer detection.

Kirshin E, Oreshkin B, Zhu GK, Popović M, Coates M

IEEE transactions on bio-medical engineering2013Senior author

DOI: 10.1109/tbme.2012.2220768 PMID: 23193227

Bayesian Learning for Graph Data

Principal investigatorNSERC2023Discovery Grants Program - Individual

Principal investigators: Coates, Mark

Keywords: bayesian inference; graphs; time series analysis; graph neural networks; continual learning; uncertainty; sequential inference

$100,000

A machine learning algorithm to predict individual risk of head and neck cancers in clinical settings

Co-investigatorCIHR2017Operating Grant: Secondary Data Analysis for Cancer Prevention and Control

Principal investigators: Nicolau, Belinda F

Keywords: Algorithms; Head And Neck Cancer; Machine Learning; Primary Prevention; Risk

$75,000

Low-power RF breast health monitor

Co-investigatorNSERC2017Collaborative Research and Development Grants

Principal investigators: Popovich, Milica

$335,938

High-dimensional estimation for sensor systems: from breast cancer detection to autonomous cars

Principal investigatorNSERC2017Discovery Grants Program - Individual

Principal investigators: Coates, Mark

$222,000

Underwater tracking of multiple objects

Principal investigatorNSERC2015Engage Grants Program

Principal investigators: Coates, Mark

$25,000

Network data analysis: a foundation for monitoring and securing communication networks

Principal investigatorNSERC2012Discovery Grants Program - Individual

Principal investigators: Coates, Mark

$105,000

Healthcare Support through Information Technology Enhancements (hSITE)

Co-investigatorNSERC2007Research Networks

Principal investigators: Plant, David

$4,820,416

Learning to satisfy actuator networks

Principal investigatorNSERC2007Discovery Grants Program - Individual

Principal investigators: Coates, Mark

$117,000

Monitoring and learning for intelligent network management

Co-investigatorNSERC2007Strategic Projects Supplemental Competition

Principal investigators: Rabbat, Michael

$199,952

Service overlay networks for peer-to-peer applications

Principal investigatorNSERC2004Strategic Projects - Group

Principal investigators: Coates, Mark

$499,086

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

Paper to mentionMention their NSERC grant from 2023

Subject: Prospective PhD student: Bayesian inference Dear Professor Coates, 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]. I read your paper "DECT-CLUST: Dual-Energy CT Image Clustering and Application to Head and Neck Squamous Cell Carcinoma Segmentation." (2022), and it 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 "Bayesian Learning for Graph Data" (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]