Yujie Tang

Yujie Tang is an Assistant Professor in the Faculty of Computer Science at Dalhousie University, Halifax, Canada, where she has been serving since September 2022. Prior to this, she was an Assistant Professor at Algoma University from July 2019 to August 2022, and a Postdoctoral Fellow at the University of Waterloo from October 2017 to June 2019.

• Faculty of Computer Science, Dalhousie University (2022–Present)
• School of Computer Science and Technology, Algoma University (2019–2022)
• Department of Electrical and Computer Engineering, University of Waterloo (Postdoc, 2017–2019)

Education:

• Ph.D., Electrical and Computer Engineering, University of Waterloo
• M.E., Harbin Institute of Technology, Shenzhen
• B.E., Lanzhou Jiaotong University

Dr. Tang’s research centers on intelligent networking and computing technologies, with applications in B5G/6G networks, Internet of Vehicles (IoV), edge computing, and UAV-assisted systems. She leverages machine learning and AI to optimize resource management, spectrum allocation, and network performance in heterogeneous and dynamic environments. Her work bridges theoretical design with practical implementation in next-generation communication systems.

The recent publications highlight a consistent focus on AI-driven solutions for wireless networks, particularly in vehicular communications, edge intelligence, and spectrum efficiency. Key themes include reinforcement learning for UAV deployment, deep learning for spectrum sensing, and cooperative edge caching in 5G/mmWave networks. These works span top journals such as IEEE TWC, TVT, IoT Journal, and JSAC, reflecting strong technical depth and real-world applicability.

Scientific Awards and Honors:

• NSERC Discovery Grant (2021–2026)
• Faculty Research Startup Funds from Dalhousie and Algoma Universities
• Best Speaker Award, University of Waterloo (2017)
• Multiple awards including FoE Award, Graduate Scholarship, and Entrance Awards from University of Waterloo (2011–2017)

Dr. Tang actively contributes to the academic community as a reviewer for leading IEEE journals and conferences, and has served on technical program committees for IEEE INFOCOM, GLOBECOM, ICC, and VTC. She is a member of IEEE, IEEE Communications Society, and IEEE Vehicular Technology Society. She is currently advising and recruiting MSc and PhD students for research in B5G/6G, IoV, and AI-empowered edge computing.

Laboratory and Research Group: Dr. Tang leads a research group focused on intelligent networking and edge AI systems at Dalhousie University. Her lab investigates real-time decision-making, resource slicing, and autonomous vehicular networks, often integrating simulation with practical deployment considerations.