Faculty profile
Roozbeh Razavi-Far
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of New Brunswick directory, so their courses may be missing. Find their university profile.
Latest papers
Multi-teacher knowledge distillation framework for lightweight anomaly detection.
Neural networks : the official journal of the International Neural Network Society · 2026 · senior author
Quantum adversarial machine learning: from classical adaptations to quantum-native methods.
Artificial intelligence review · 2026 · first author
Latest funding
- $87,000
Towards fault tolerance and attack resiliency in cyber-physical energy systems through learning from data streams under harsh learning conditions
NSERC · 2021 · Principal investigator
2 publications.
Multi-teacher knowledge distillation framework for lightweight anomaly detection.
Yousefimehr B, Ghatee M, Razavi-Far R
Quantum adversarial machine learning: from classical adaptations to quantum-native methods.
Razavi-Far R, Meymani M, Mahmoudinia E, Vazirzade D, Paknezhad P, Ghasemi F, Saravani S, Nikkhoo S, Haghjooei K
Towards fault tolerance and attack resiliency in cyber-physical energy systems through learning from data streams under harsh learning conditions
Principal investigators: Razavi-Far, Roozbeh
Keywords: Artificial Intelligence; Cyber-Attacks and Faults; Cyber-Physical Energy Systems; Data Analytics; Detection and Diagnosis; Failure Prognosis; Intrusion Detection; Learning in Non-Stationary Environments; Machine Learning; Safety-Critical Systems
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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