(Topics include but are not limited to)
Graph Algorithm and Network Analysis
Large scale data sorting and search algorithm
Optimization of distributed computing frameworks (MapReduce, Spark)
Stream computing and real-time data processing
Distributed Machine Learning Platform and Algorithms
Federated Learning and Privacy Protection Computing
Data Parallel and Model Parallel Strategies
Distributed Database and Consistency Protocol
Integrated architecture of data lake and lake warehouse
Feature engineering methods in data analysis
Anomaly detection and high-dimensional data analysis
Time series analysis and prediction model
Text Mining and Natural Language Processing Algorithms
Recommendation system algorithm and collaborative filtering
Graph Database and Knowledge Graph Reasoning
Fault tolerance and recovery mechanism for distributed systems
Edge computing and Data Preprocessing
Data Compression and Efficient Encoding Technology
Distributed Scheduling and Resource Management
Visualization methods for data analysis
Blockchain and Distributed Ledger Algorithms
Algorithm complexity and performance evaluation
Quantitative trading and financial data analysis
Social Network Analysis and Communication Modeling
Ethics of Big Data and Fairness of Algorithms