Bing Zhou

Associate Professor Bing Zhou is a Theme Leader in Distributed Computing Applications at the School of Computer Science, University of Sydney. He teaches courses such as Operating Systems Internals and Parallel and Distributed Computing, and leads research on distributed systems, cloud computing, and machine learning applications in bioinformatics.

• Current Research Students: Sichang DING (Spatial Multi-Omics), Quan LA (Adversarial Quantum Machine Learning)
• Contact: bing.zhou@sydney.edu.au | J12, Sydney University

Research Interests: His work spans distributed computing, cloud optimization, bioinformatics data management, and machine learning techniques. Notable projects include DCDedupe (distributed storage optimization), FRANK (network analysis), and DomNet (protein prediction systems).

Recent Publications (2022-2025): Focus on online caching algorithms, edge video processing, federated learning frameworks, and adaptive scheduling. Keywords include distributed systems, reinforcement learning, blockchain analytics, and GPU optimization.

Key Collaborations: Co-authorships with researchers like D. Yuan, W. Bao, and A. Zomaya across 30+ journals and conferences.