{"id":959,"date":"2025-03-27T08:01:21","date_gmt":"2025-03-27T08:01:21","guid":{"rendered":"https:\/\/skyld.com.cy\/?p=959"},"modified":"2025-04-08T10:20:26","modified_gmt":"2025-04-08T10:20:26","slug":"mhums-conference-maintenance-strategies-in-shipping-and-ai-driven-solutions","status":"publish","type":"post","link":"https:\/\/skyld.com.cy\/?p=959","title":{"rendered":"MHUMS: Conference – Maintenance Strategies in Shipping and AI-Driven Solutions"},"content":{"rendered":"\n
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Date: 7 April 2025<\/strong> 17:30 \u2013 20:00 EEST<\/strong><\/p>\n\n\n\n

Location: UNESCO Amphitheatre<\/strong>, University of Nicosia, Nicosia, Cyprus<\/p>\n\n\n\n

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The Department of Engineering<\/strong> of the University of Nicosia<\/strong>, in collaboration with the Cyprus Maritime Academy<\/strong>, Skyld Security and Defence Ltd<\/strong><\/a> and University of West Attica (UniWA), Department of Computer Engineering and Informatics is pleased to invite you to the conference titled:
\u201cMaintenance Strategies in Shipping and AI-Driven Solutions\u201d<\/strong>, taking place on Monday, 7 April 2025<\/strong>, from 17:30 to 20:00<\/strong> at the UNESCO Amphitheatre<\/strong>, University of Nicosia.<\/p>\n\n\n\n

This event will delve into cutting-edge developments<\/strong> in maintenance strategies within the maritime sector, highlighting the transformative impact of Artificial Intelligence (AI)<\/strong> on operational efficiency. It will serve as a platform for industry professionals, researchers, and technology innovators<\/strong> to exchange knowledge, present research findings, and discuss future trends shaping the shipping landscape.<\/p>\n\n\n\n

Special emphasis will be given to the integration of AI-powered tools<\/strong> in ship maintenance operations \u2013 enabling predictive analytics<\/strong>, optimised scheduling<\/strong>, and proactive decision-making<\/strong> to minimise downtime and extend the service life of critical assets.<\/p>\n\n\n\n

A featured highlight of the conference is the presentation of the \u201cMaritime Health Usage and Monitoring System (MHUMS)\u201d<\/strong> project. This initiative focuses on deploying AI-driven methodologies<\/strong> to enhance vessel performance by leveraging real-time data from advanced monitoring systems. Its goals include improving the monitoring of ship machinery, hull integrity, and onboard communication infrastructure through smart diagnostics and actionable analytics.<\/p>\n\n\n\n

Key components of MHUMS include:<\/p>\n\n\n\n