Zijiang Yan

Zijiang Yan MASc Student Department of Electrical Engineering & Computer Science (EECS) Lassonde School of Engineering York University, Toronto, ON, Canada Email: zijiang at yorku.ca · yanzijiang97 at gmail.com [LinkedIn] [Curriculum Vitae] [Google Scholar] [ResearchGate]

Bio

I am a MASc student specializing in machine learning and GAI-driven wireless communication. I received my B.Sc. in Computer Science and Statistics from York University, where I pursue my master degree under the supervision of Prof. Hina Tabassum and Prof. Ping Wang.

My research focuses on optimizing beyond-5G and 6G wireless systems through generative AI, intelligent resource allocation, and AI-enabled vehicular communication. I am particularly interested in developing scalable and reliable learning-based frameworks for autonomous driving, network orchestration, and next-generation communication systems.

Currently, my work explores resource-aware communication strategies, quantum-enhanced user association, and hybrid large language model (LLM)-assisted decision-making for joint driving and communication optimization.

Education

• M.A.Sc. in Electrical and Computer Engineering, Jan. 2026 – Dec. 2027
  York University, Toronto, Canada

• B.Sc. (Honours), Double Major in Computer Science & Statistics, Sept. 2016 – Aug. 2021
  York University, Toronto, Canada

Research Interests

• Machine Learning–Based Resource Allocation in Wireless Networks

• AI-Enabled Vehicular Communication

• Multi-Objective Reinforcement Learning

• Quantum Computing and Quantum Machine Learning

• Autonomous Driving Systems

• Aerial–Terrestrial Integrated Networks

• 5G Beyond-5G (B5G) 6G Wireless Communications

• Diffusion Models and Generative AI