AI/ML and Big Data Analytics for Disaster Management

Track Chairs

• Avishek Nag, University College Dublin, Ireland
• Nadjet Kamel, Setif 1 University, Algeria
• Samir Amir, ELKEM, France

Scope

In this track, we solicit contributions from researchers and practitioners that focus on AI/ML and Big Data Analytics for crisis management. We invite submissions of unpublished and original research in these aspects. Topics of interest include, but are not limited to :

• Artificial intelligence and machine learning for disaster management
• 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
• 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