AI-based Optimal Surveillance for Critical Infrastructures Safety and Security

We plan to complete an internally funded project and bridge to a successful external funding by Lloyd’s Register to continue the work with our currently employed SRA. This project was initiated as “Multi-Criteria Surveillance AI-based Scheduling Analytics for Undersea Infrastructure Safety”, (Large TRIF, 01/10/2023-31/07/2024) which was further developed to “Integrated Risk-based Multiple-Criteria Surveillance Analytics for Critical Infrastructures Safety”, (DPF and SMAP QR money, 01/08/2024-31/07/2025). The project has been very successful and led to extra lines of research, papers and more funding applications with potential REF impact case studies, as explained in track record section.

To address extra line of research in current project and bridge to Lloyd’s Register project, we will address more complex undersea infrastructure e.g. energy networks and internet cables using more advance algorithms boosted by AI components, in addition to the preliminary study of a single gas pipelines and a windfarm considered in the previous studies.

Several Algorithms are developed as mentioned in the description.