IoT smart framework and dynamic web platform for Integrated Knowledge Management in Urban Water Networks

The main objectives of the planned research are to investigate methodologies of connecting, integrating, updating and managing heterogeneous distributed systems efficiently. This includes semantic annotations of heterogeneous data for automated discovery and knowledge-based processing to contribute to the technology development for building an IoT smart framework to support multi-sectoral decision making and information sharing to improve coordination among stakeholders for sustainable water management applications.

Research activities will focus on smart interoperability frameworks to exploit heterogeneous sensor networks dynamically, and real-time analytics with machine learning to support the dynamic web models for decision making. This position will be employed by Singular Logic, Greece, and be registered for PhD at Birmingham City University.

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