Data, Algorithms and the Physical Maritime Reality

The event explores how data, artificial intelligence and advanced computational power are shaping the maritime reality—from design and modelling to validation, operations and the green transition. The program is structured to provide both strategic perspectives and concrete technical cases.

17:30 AI-Driven Ship Design: From Concept to Performance

Speaker: Anders Thorlaksen, DFDS and his colleague in Greece

Description: AI and advanced modelling open new opportunities to optimize ship design, reduce development time and improve energy efficiency. This presentation demonstrates how DFDS applies data-driven design methods, and the benefits and challenges of integrating AI into traditional engineering workflows.

18:00 Bridging Virtual and Physical Reality: Ensuring Valid and Relevant Maritime Data

Speaker: Mogens Blanke, DTU, professor of automation

Description: Data quality is essential for reliable maritime models and AI algorithms. But what does “valid” and “relevant” data mean in a maritime context—and how do we ensure that virtual simulations reflect real-world operations on board? DTU presents methods, requirements and experience with validation, calibration and comparing model results with operational reality.

18:30 Sandwich break

19.00 Supercomputers and the Maritime Sector: From HPC to Future Quantum Technologies

Speaker: Peter Krogsgaard Sørensen, Senior Business Development Manager, Force Technology

Description: With the establishment of the Danish Maritime Data Hub, maritime companies gain access to supercomputers and advanced data platforms. This presentation introduces HPC, AI, Machine Learning and Deep Learning—and shows how these technologies support route optimisation, emissions analysis, automated maintenance and more. A brief outlook on quantum computing closes the session.

19:30 Digital Twin Lab: AI-Enabled Tools for the Green Maritime Transition

Speakers: Mattias Straub, project manager, associate professor, Teknika

Description: How do we bring AI from theory into practical maritime applications? This presentation highlights examples of concrete cases which could result from the newly initiated Sustainable Digital Twin Lab (SDT-Lab)—a digital learning environment that will demonstrate how data, digital twins and AI technologies can support the green transition in shipping. We will gain insights into possible tools, workflows and common implementation pitfalls.

20:00 The end – closing remarks