Hailu Xu

Dr. Hailu Xu is an Assistant Professor in the Department of Computer Engineering & Computer Science at California State University, Long Beach (CSULB). He holds a Ph.D. in Computer Science from Florida International University (2020), M.S. from University of Toledo (2016), and B.S. from North China Electric Power University (2014). His research focuses on systems design with emphasis on big data processing, stream processing, edge/cloud computing security, and AI integration. He designs systems for social stream data analysis, failure recovery in distributed systems, and combating misinformation in social networks.

Research interests include:

• AI-driven system optimization
• Edge-cloud collaboration for real-time processing
• Security in distributed environments
• Federated learning frameworks
• Anti-spam mechanisms for social platforms

Recent work highlights trends in federated learning efficiency, fault recovery in stream systems, and scalable misinformation detection. His 2023 Neurocomputing paper introduced WSSGCN, while 2024's StraightLine scheduler addresses ML workload optimization.

• Received NSF Panel Reviewer role (2023)
• PC member for IEEE Big Data 2024 and ACM Multimedia 2022

Advising undergraduate/graduate students in CS/CE fields. Current projects involve federated learning optimization and edge computing security. His lab develops systems like COS2 for pandemic misinformation detection and Xunified for GPU memory management.