Sherif Saad, University of Windsor

Research

Adversarial Machine Learning Adversarial Malware Cybersecurity Dynamic Malware Analysis Machine Learning Machine Learning Interpretability Malware Detection Malware Reverse Engineering

Latest funding

Securing the Future: Fault Tolerance and Resilience in AI-Driven Autonomous Platforms through Chaos Engineering
SSHRC · 2024 · Principal investigator
$125,000
Towards Scalable, Resilient, and Interpretable Approaches for Machine Learning based Malware Detectors
NSERC · 2020 · Principal investigator
$145,000
Towards Scalable, Resilient, and Interpretable Approaches for Machine Learning based Malware Detectors
NSERC · 2020 · Principal investigator
$12,500

All 3 grants and awards

Securing the Future: Fault Tolerance and Resilience in AI-Driven Autonomous Platforms through Chaos Engineering

Principal investigatorSSHRC2024New Frontiers in Research Fund - Exploration

Principal investigators: Saad, Sherif

$125,000

Towards Scalable, Resilient, and Interpretable Approaches for Machine Learning based Malware Detectors

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Saad, Sherif

Keywords: cybersecurity; machine learning; malware detection; malware reverse engineering; dynamic malware analysis; adversarial malware; machine learning interpretability; adversarial machine learning; scalable machine learning

$145,000

Towards Scalable, Resilient, and Interpretable Approaches for Machine Learning based Malware Detectors

Principal investigatorNSERC2020Discovery Launch Supplement

Principal investigators: Saad, Sherif

$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

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 SSHRC grant from 2024

Subject: Prospective PhD student: Adversarial Machine Learning Dear Professor Saad, 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 adversarial 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 SSHRC-funded project "Securing the Future: Fault Tolerance and Resilience in AI-Driven Autonomous Platforms through Chaos Engineering" (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]