Topic 1: Sensing Cloud Technology
Design of Sensor Network Protocol
Data Fusion Algorithm
Real time data processing
Low power sensor technology
Data quality assessment
Heterogeneous Sensor Networks
Sensor node positioning
Self-organizing sensor network
Data Encryption in Sensor Networks
Fault tolerance in sensor networks
Simulation and Modeling of Sensor Networks
Mobile sensor network
Data compression
Machine Learning in Sensor Networks
Data transmission protocol
Energy Management in Sensor Networks
Fault detection and recovery
Cross disciplinary applications of sensor networks
Event Detection in Sensor Networks
Topic 2: Architecture Design
Architecture design 
Data management
Virtualization technology
Security mechanism
Service Quality Management
Combining with big data analysis
Data Sharing and Access Control
Sensing Cloud Application Development Framework
Elasticity and Scalability
Automation tools
Real time monitoring
Self service of sensing cloud services
User experience design
Cross domain data integration
Multi user architecture
Migration and sharing mechanism
Case Study of Sensing Cloud Application
Collaborative processing in sensing cloud
Topic 3: Data Engineering
Big data, data warehousing, and analytics
Crowdsourcing
Cloud computing and DB-as-a-Service
Database privacy, security, and trust
Data integration, metadata management, and interoperability
Data model, semantics, query language
Data mining and knowledge discovery