معرفی
Dr. Ning Lu is an Assistant Professor in the Department of Electrical and Computer Engineering at Queen's University, Canada, and holds a Canada Research Chair Tier II in Future Communication Networks. He specializes in real-time scheduling, distributed algorithms, and reinforcement learning for wireless communication networks, with expertise in vehicular networks, IoT, and autonomous systems.
Education:
- PhD in Electrical Engineering (2015), University of Waterloo
- MEng in Electrical Engineering (2010), Tongji University
- BEng in Electrical Engineering (2007), Tongji University
Research Focus: Dr. Lu's work bridges theoretical foundations and practical applications in wireless networks, including vehicular communication protocols, energy-efficient systems, and AI-driven network optimization. His recent efforts emphasize autonomous vehicle motion forecasting, secure federated learning, and smart infrastructure for 6G/IoT.
Publications Trends: His articles focus on cutting-edge topics like vehicular networks, reinforcement learning for edge computing, and robust AI models against adversarial attacks. Notable themes include multi-agent systems, dynamic scheduling, and hybrid communication architectures.
Awards:
- Canada Research Chair Tier II (202X)
- NSERC Postdoctoral Fellowship (2015)
- Best Paper Award at IEEE GLOBECOM 2014
- 2nd Place, Valeo Innovation Challenge 2014
Contributions: He leads research on network slicing, emergency communication systems, and AI-driven traffic prediction. His work has been applied to disaster response frameworks and smart city infrastructure projects. He serves on the editorial board of Springer's Encyclopedia of Wireless Networks.
