Li Yang
Scholar

Li Yang

Google Scholar ID: XEfM7bIAAAAJ
Assistant Professor, Ontario Tech University | World's Top 2% Scientist | Adjunct Professor, UWO
AI/Machine LearningCybersecurity5G/6G/IoTAutoMLIntrusion Detection
Citations & Impact
All-time
Citations
5,092
 
H-index
16
 
i10-index
17
 
Publications
20
 
Co-authors
21
list available
Resume (English only)
Academic Achievements
  • Named by Stanford University on the World's Top 2% Scientists List for 2025, ranked 752nd (Top 0.3%) globally in the 'Networking & Telecommunications' field (27th in Canada).
  • Appointed as an Associate Editor for the IEEE Transactions on Network and Service Management (TNSM) and IEEE Transactions on Industrial Informatics (TII).
  • Papers received more than 5,000 Google Scholar citations.
  • Multiple papers were the most cited research items from the department on ResearchGate.
  • Student Harshit Maheshwari successfully defended his MSc thesis and was nominated for the Outstanding Thesis Award.
  • Published multiple academic papers, such as 'Traffic Intersection Simulation Using Turning Movement Count Data in SUMO: A Case Study of Toronto Intersections' and 'Machine Learning Advancements in Urban Traffic Simulation: A Comprehensive Survey'.
Research Experience
  • Joined Ontario Tech University as a tenure-track Assistant Professor in January 2024. Also an Adjunct Research Professor at Western University, co-supervising MESc and PhD students at Western University.
Education
  • Ph.D. from Western University, supervised by Prof. Abdallah Shami. Postdoc & limited-term assistant professor at Western University.
Background
  • Research interests include machine learning, deep learning, AutoML, TinyML, model optimization; cybersecurity, intrusion detection, anomaly detection; network data analytics, 6G network automation, Internet of Things (IoT); concept drift, online learning, continual learning; and adversarial machine learning (AI security). Currently an Assistant Professor at Ontario Tech University.
Miscellany
  • Recruiting MSc and PhD students who are passionate about AI and cybersecurity, with strong backgrounds in these areas. Also recruiting a Postdoc.