The Department of Engineering of the University of Nicosia and Cyprus Maritime Academy cordially invite you to the Conference on “Maintenance Strategies in Shipping and AI-Driven Solutions” on Monday, 7 April 2025 between 17:30-20:00 at the UNESCO Amphitheatre, University of Nicosia.
The conference focuses on the latest advancements in maintenance strategies in the shipping industry and the role of AI-driven solutions in optimising operations. This event provides industry professionals, researchers, and technology innovators a platform to gather, share insights, and discuss emerging trends and recent research achievements. It also offers an overview of contemporary strategies aimed at enhancing efficiency and reliability in shipping operations. AI-driven solutions are increasingly influencing the future of the shipping industry. The conference will explore the integration of Artificial Intelligence into maintenance operations, providing predictive insights and optimising schedules to reduce downtime and extend asset longevity.
The project “Maritime Health Usage and Monitoring System” will present its mission to develop and deliver industry-leading problem solvers using AI. The Maritime Health Usage and Monitoring System (MHUMS) aims to enhance vessel operational capabilities through advanced collection, interpretation, and utilisation of data derived from state-of-the-art monitoring systems. It also targets innovatively enhancing ship machinery, communications infrastructure, and hull structural health monitoring functionalities. Specifically, the system will utilise integrated databases to filter, analyse, interpret, and deliver actionable insights. A Virtual Assistance interface (chat bot) will serve as an intuitive and interactive tool, providing swift responses and offering guidance and recommendations for vessel operations and decisions when required.
Different operations of the project include:
- Optimisation of sensor placement and sensor network configurations,
- Computational modelling and analysis of critical ship systems,
- Improved methods for early detection, accurate diagnosis, and reliable prognosis of structural damage and potential machinery faults, and
- Development of intelligent virtual assistant environments.
This initiative will substantially strengthen the maintenance planning of ships and onboard mechanical systems, proactively mitigating challenging scenarios — particularly unforeseen equipment failures — thus ensuring higher reliability, safety, and operational performance.
The project is funded by Cyprus Research and Innovation Foundation under the program CO-DEVELOP.
Join us for an insightful event that will be followed by a networking cocktail.
For more information, please contact Dr Stelios Neophytou (E: [email protected])
