MLMORRISMorris Liu
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CASE STUDY / AI & Data Science

Smart Maritime Safety Programme

Maritime, Port Operations & Navigational Safety

Led planning, development, and implementation of AI-enabled maritime safety applications, analytics platforms, operational dashboards, and decision-support systems.

Smart Maritime Safety Programme editorial illustration
2024–2026Period
AI & Data LeadRole
Maritime SafetyFocus

Delivery Details

This programme supported a maritime authority in improving navigational safety and operations through integrated maritime data, AI applications, analytics platforms, operational dashboards, and decision support. It covered stakeholder interviews, scenario and risk discovery, data and system architecture, analytical application design, alert and visualization logic, user validation, and implementation planning. Combining real-time monitoring, historical analysis, and business rules within a consistent decision workflow converted fragmented signals into actionable risk assessments.

01

Industry Context

Maritime and port operations are real-time, high-risk, and information intensive. Weather, vessel, navigation, and operational signals must be integrated into a coherent picture, with AI supporting—not replacing—human judgment through earlier risk prioritization, focused monitoring, and traceable decisions.

02

Business Problem

Real-time maritime safety data was fragmented, making consistent risk assessment and operational decisions difficult.

03

What I Built

Integrated data, AI analytics, dashboards, and decision-support workflows validated against operational use cases.

04

Business Impact

Established a data-to-action framework that improved maritime risk awareness and operational decision support.

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