Tingjian Ge

Tingjian Ge is an academic researcher with a focus on database systems, graph stream processing, and uncertain data management. His work spans theoretical foundations and practical implementations in data science, with a career trajectory showing increasing specialization in real-time network analytics and secure data processing.

• PhD from Brown University (2009)
• Active in top-tier venues: ICDE, KDD, VLDB, WWW

Research Interests include:

• Approximate query processing under resource constraints
• Graph stream modeling and edge shedding techniques
• Security and privacy in data systems
• Temporal network analysis and predictive modeling
• Optimization of multi-core and cloud-based query execution

Scientific Contributions demonstrate expertise in:

• Developing sketch data structures for graph streams
• Creating fairness-aware prediction frameworks
• Advancing differential privacy mechanisms
• Designing efficient temporal subgraph algorithms