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Artificial Intelligence in the Maritime Domain

  • Overview

Artificial Intelligence (AI) and machine-learning techniques have immense potential for improving efficiency and safety across the marine sector e.g. optimising ship hull forms, health monitoring for ship engines, predicting the spread of oil spills, preventing ship collisions, modelling ocean circulation or rogue waves. However, they also create new challenges, particularly where safety is concerned.

The AI SIG aims to monitor ongoing progression in this field to support knowledge and development of the IMarEST membership. The SIG also strives to contribute to the technology debate by developing position papers, webinars, and an online discussion group to share the latest developments in the industry.  

If you are interested in joining the group, log in to My IMarEST and select the group from the list.

 

      

SIG officers

Mr Robert Doncom CEng CMarEng FIMarEST

Chair

Upcoming events

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Free
26 August 2026

Thermoplastic Composite Pipe (TCP) for Offshore Oil & Gas - An Overview

A webinar by the IMarEST's Offshore Oil & Gas SIG.

Online Online
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Free External
26 August 2026

From Engine Design to Data-Driven Operation: Improving Marine Propulsion Efficiency, Availability and Emissions Compliance

A webinar by the IMarEST's Western Australia Branch.

Online Online
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Free
27 August 2026

IMarEST Americas Divisional Summer Webinar: Professional Registration Without Borders - Understanding CEng, PE and P.Eng

A webinar by the IMarEST branches of Atlantic Canada, Bermuda, Eastern USA and Gulf Coast (Houston).

Online Online
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External
14 – 18 September 2026

CPD Week

Celebrating and highlighting continuing professional development (CPD) with updates on sampling, resources and member stories.

Online
About IMarEST

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+44 (0) 20 7382 2600

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#05-01 Central Plaza
Singapore 168730
+65 (0) 6472 0096

© 2026 The Institute of Marine Engineering, Science and Technology | Registered Charity Number: 212992 A company incorporated by Royal Charter. Registered in England and Wales (no. RC000256)

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