Xin Liu

Xin Liu is an Adjunct Professor in the Department of Civil Engineering at the Faculty of Engineering. His research focuses on cybersecurity, machine learning applications, and IoT security, with a particular emphasis on network intrusion detection, data compression, and risk-aware access control systems. He holds a Ph.D. from the University of Ottawa, Canada, and M.Sc. and B.Sc. degrees from Hebei University of Technology, China.

Education:

• Ph.D., University of Ottawa, Canada
• M.Sc., Hebei University of Technology, China
• B.Sc., Hebei University of Technology, China

Research Interests:

Dr. Liu's work bridges machine learning and cybersecurity, addressing challenges in IoT security, adversarial attacks, and network traffic analysis. His contributions include developing AI-driven intrusion detection systems, optimizing data compression techniques for IoT devices, and formulating risk-aware access control frameworks. Recent efforts focus on advanced persistent threats (APTs) and privacy leakage mitigation in language models.

Articles Trends:

His publications emphasize practical applications of machine learning in cybersecurity, including network attack detection, privacy-preserving methods, and resilient IoT infrastructure. Recent work highlights innovations in transformer-based models for intrusion detection and realistic benchmarking for APT simulations.

Awards:

No scientific awards explicitly mentioned in the provided materials.

Advising & Grants:

No advising records or grant information available in the current data.

Labs/Teams:

No specific lab affiliations or collaborative teams noted in the profile.