Call for Papers
The conference aims to share and disseminate, to all branches of industries, information on the most recent and relevant research, theories and practices in Data Management and Computer Science. We welcome papers in, but not limited to, the following areas:
Topic 1: Data Management Technologies
- Big data storage
- Data processing
- Distributed data systems
- Parallel data systems
- Data modeling
- Metadata design
- Real-time data management
- Stream data management
- Data integration
- Interoperability
- Data cleansing
- Data quality evaluation
- Cloud-native data services
- Data security
- Access control
- Data governance
- Lifecycle management
- Scalable data indexing
- Data retrieval
Topic 2: Computer Science Technologies
- Software architecture
- Operating systems
- Virtualization technologies
- Embedded systems
- Cyber-physical systems
- Parallel and distributed computing
- High-performance computing
- Computer networks
- Network protocols
- Cloud computing platforms
- Edge computing
- Software design and testing
- System security
- System reliability
- Formal verification
Topic 3: Data-centric Intelligent Systems and Applicationss
- Machine learning for data analytics
- AI-based decision support systems
- Natural language processing
- Knowledge representation
- Semantic computing
- Intelligent information retrieval
- Recommender systems
- Privacy-preserving computing
- Federated learning
- Blockchain technology
- Cross-modal data fusion
- Human-computer interaction
- Intelligent agents