معرفی
Li Yang is an Assistant Professor in the Department of Information Technology, part of the Faculty of Business and Information Technology at Ontario Tech University. His research focuses on applying AI and machine learning to cybersecurity, particularly in intrusion detection and anomaly detection for 5G/6G networks and IoT systems. He holds a PhD in Electrical and Computer Engineering from Western University (2022), and has held roles such as Vice Chair of IEEE Computer Society, London Section (2022–2023).
Education:
- PhD in Electrical and Computer Engineering, Western University (2022)
- Master of Science, University of Guelph (2018)
- Bachelor of Engineering, Wuhan University of Science and Technology (2016)
Research Interests:
His work spans cybersecurity, machine learning, deep learning, AutoML, model optimization, network automation, IoT security, intrusion detection, and adversarial machine learning. He develops frameworks for concept drift adaptation and online learning to enhance cybersecurity measures, with a focus on trustworthy AI and defense strategies against adversarial attacks.
Awards:
- Graduate Student Award for Excellence in Research (2022)
- Graduate Symposium Award for Best Presentation (2022)
- Mitacs Accelerate Fellowship (2021)
- OC2 Lab Industrial Research Excellence Award (2020)
- Ranked in Stanford/Elsevier's Top 2% Scientists (2024)
Grants & Involvement:
Li Yang has contributed to conferences like IEEE GlobeCom and IEEE CCECE, and authored patents such as 'Convenient primary-secondary barrels' (2009). His work has garnered thousands of citations and GitHub stars, emphasizing practical applications of AI in cybersecurity.
