AI disruption in the maritime sector – the impact of AI on chartering practices in Danish shipping

AIS Data Driven Ship Behavior Modelling

Analysis and improvement of human-machine interaction for automated functions on ships

Data-driven prediction of added resistance on ships in waves

Development of algorithms and AI to maximize container vessel capacity and profitability

Digital Ship Operations – Engine & Equipment Performance

Fuel savings and emission reductions in the shipping industry through innovative propeller polishing robot technology

MISSION: Maritime Just-in-Time Optimization

Monitoring Carbon Emissions of Ships

NextGen Robotics (Development of underwater robot for offshore wind farms)

OBSERVING AND MAPPING MARINE ECOSYSTEMS – NEXT GENERATION TOOLS

Project: SEAFACTS – a digital platform for maritime history

Resilient Planning and Operational Management Systems for Islanded Microgrids in Disaster-Vulnerable Communities (TECH-IN: Microgrid Technologies for Remote and Island Communities under Natural Disasters)

Sensors & Senses: AI for Green Transition in Danish shipping

ShipWeldFlow – Digital Twins for robotic unit welding analysis and optimization in ship production

SLGreen – Green Transition of the Blue Denmark by focusing on digitalisation, decarbonisation and safety

Stowage Algorithms and AI for Energy Efficient Liner Shipping