Adel Abusitta, Polytechnique Montréal

Research

network security cybersecurity internet of things security resilient applied machine learning poisoning attacks in federated learning explainable applied machine learning robust applied machine learning federated learning

Latest funding

Robust, Resilient, and Trustworthy Federated Learning for Intrusion Detection in the Internet of Things
NSERC · 2024 · Principal investigator
$31,000
Robust, Resilient, and Trustworthy Federated Learning for Intrusion Detection in the Internet of Things
NSERC · 2024 · Principal investigator
$12,500
Mitigating Security Threats in Industrial Cyber-Physical Systems Using Autonomous Agents
NSERC · 2023 · Co-investigator
$90,000

All 3 grants and awards

Robust, Resilient, and Trustworthy Federated Learning for Intrusion Detection in the Internet of Things

Principal investigatorNSERC2024Discovery Grants Program - Individual

Principal investigators: Abusitta, Adel

Keywords: network security; cybersecurity; internet of things security; resilient applied machine learning; poisoning attacks in federated learning; explainable applied machine learning; robust applied machine learning; federated learning; algorithmic game theory; data securty

$31,000

Robust, Resilient, and Trustworthy Federated Learning for Intrusion Detection in the Internet of Things

Principal investigatorNSERC2024Discovery Launch Supplement

Principal investigators: Abusitta, Adel

Keywords: network security; cybersecurity; internet of things security; resilient applied machine learning; poisoning attacks in federated learning; explainable applied machine learning; robust applied machine learning; federated learning; algorithmic game theory; data securty

$12,500

Mitigating Security Threats in Industrial Cyber-Physical Systems Using Autonomous Agents

Co-investigatorNSERC2023Alliance Grants

Principal investigators: Halabi, Talal TH

Keywords: artificial intelligence; computer & network security; cyber defense; cyber-physical systems; cyber security; game theory; industrial control networks; internet of things; reinforcement learning; threat mitigation

$90,000

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 2024

Subject: Prospective PhD student: network security Dear Professor Abusitta, 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 network security 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 "Robust, Resilient, and Trustworthy Federated Learning for Intrusion Detection in the Internet of Things" (2024), 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]