معرفی
Richard Yu is a Professor at the Carleton School of Information Technology, Carleton University. His research focuses on cross-layer design in wireless systems, security in wireless networks, green information technologies, and multimedia over wireless networks. He holds a Ph.D. from the University of British Columbia and is a Professional Engineer (P.Eng). His work integrates machine learning, edge computing, and reinforcement learning to address challenges in vehicular networks, autonomous systems, and IoT.
Education
- Ph.D., University of British Columbia
Research Interests
Professor Yu’s research spans wireless communication systems, edge computing, and AI-driven optimization. He explores novel paradigms such as federated learning for industrial IoT, secure UAV-assisted satellite networks, and generative AI for video understanding. His work emphasizes practical applications in autonomous vehicles, smart infrastructure, and industry 4.0 systems.
Recent Trends in Publications
His recent articles highlight advancements in reinforcement learning frameworks for resource allocation, safety-critical AI in video generation, and cross-modal fusion for embodied agents. He also investigates hybrid NOMA/OMA systems and quantum-inspired algorithms for next-generation networks.
Advising & Grants
No specific advisees are listed, but his research is supported by grants focusing on edge intelligence, vehicular networks, and secure computing.
Labs & Teams
Associated with Carleton’s School of Information Technology research groups, focusing on wireless systems and AI for industrial applications.
