Maxime Lamothe, Polytechnique Montréal

Research

Data mining from software repositories Empirical Software Engineering Software analysis Software APIs Software dependencies Software design Software Engineering Software evolution

Latest funding

Tuning, Debugging and Monitoring High Performance Heterogeneous Systems at Exascale
NSERC · 2023 · Co-investigator
$342,860
Tuning, Debugging and Monitoring High Performance Heterogeneous Systems at Exascale
NSERC · 2023 · Principal investigator
$1,028,580
Intelligent API Engineering: Systematically Leveraging APIs Through Development Knowledge and Usage Data
NSERC · 2022 · Principal investigator
$75,000

All 4 grants and awards

Tuning, Debugging and Monitoring High Performance Heterogeneous Systems at Exascale

Co-investigatorNSERC2023Alliance Grants

Principal investigators: Dagenais, Michel MR

Keywords: cloud computing; debugging; exascale computing; gpgpu; heterogeneous computer systems; high performance computing; integrated development environment; machine learning; profiling; tracing

$342,860

Tuning, Debugging and Monitoring High Performance Heterogeneous Systems at Exascale

Principal investigatorNSERC2023Advantage

Principal investigators: Lamothe, Maxime

Keywords: Information, computer and communication technologies; Computer software

$1,028,580

Intelligent API Engineering: Systematically Leveraging APIs Through Development Knowledge and Usage Data

Principal investigatorNSERC2022Discovery Grants Program - Individual

Principal investigators: Lamothe, Maxime

Keywords: software engineering; software apis; software evolution; software analysis; software maintenance; software dependencies; data mining from software repositories; software design; software implementation; empirical software engineering

$75,000

Intelligent API Engineering: Systematically Leveraging APIs Through Development Knowledge and Usage Data

Principal investigatorNSERC2022Discovery Launch Supplement

Principal investigators: Lamothe, Maxime

$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.

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Applying for

Mention their NSERC grant from 2023

Subject: Prospective PhD student: Data mining from software repositories Dear Professor Lamothe, 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 data mining from software repositories 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 "Tuning, Debugging and Monitoring High Performance Heterogeneous Systems at Exascale" (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]