Huaiyu Dai

Huaiyu Dai is a Professor and University Faculty Scholar at the Department of Electrical and Computer Engineering, North Carolina State University. He holds editorial roles including Editor-in-Chief of IEEE Transactions on Signal and Information Processing over Networks. His research focuses on networking, machine learning, and communications, with over 300 publications. He has received IEEE Fellowships, AAIA Fellowships, and awards like the Qualcomm Faculty Award and William R. Bennett Prize.

Education:

• Ph.D., Electrical Engineering, Princeton University (2002)
• M.S., Electrical Engineering, Tsinghua University (1998)
• B.E., Electrical Engineering, Tsinghua University (1996)

Research Interests: His work spans federated learning, edge computing, network security, and graph neural networks. Recent advancements include decentralized federated learning frameworks, privacy-preserving techniques, and efficient scheduling algorithms for vehicular/cloud networks.

Publications Trends: Recent articles address challenges in federated learning (data heterogeneity, privacy), edge computing (resource optimization), and UAV-enabled systems (fresh data collection, trajectory planning). Methodologies include reinforcement learning, coded computing, and graph-based approaches.

Awards & Leadership:

• AAIA Fellow (2021)
• IEEE Fellow (2017)
• Multiple best paper awards at IEEE ICC, INFOCOM, and MASS

Advising & Grants: Active in mentoring graduate students and securing grants for distributed machine learning, vehicular networks, and secure communication systems. Leads projects on hybrid defense mechanisms against Byzantine attacks in federated learning.

Labs/Teams: Collaborates through interdisciplinary teams at NC State, focusing on AI-driven networking, edge computing architectures, and UAV communication systems.