Track Chair

• Celimuge Wu, University of Electro-Communications, Japan
• Soraya Aït-Chellouche, University of Rennes, France
• Jie Feng, Xidian University, China

Scope

In this track, we solicit contributions from researchers and practitioners that focus on big data, ontologies and analytics for crisis management. We invite submissions of unpublished and original research in these aspects. Topics of interest include, but are not limited to:

• Big data analytics in disaster management
• Cloud computing and edge computing
• Data mining from multiple information and huge sources
• Data/information management and analysis for disaster management
• Artificial intelligence and machine learning for disaster management
• Prediction and early warning systems
• Uncertainty and possibly adversity in data handling and delivery
• Ontology based approaches
• Open source data and space-based resources to support disaster management
• Smart communications (e.g., smart communicating gateways in the context of a crisis, ...)
• Critical scheduling for crisis management