Data, Algorithms and the Physical Maritime Reality

Program: 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 Opening: Peter Blach, Maskinmestrenes Forening and co-organizers John Koch Nielsen, Force Technology and Anders Thorlaksen, Lloyds Register
• 17:30 AI-Driven Ship Design: From Concept to Performance
  Speaker: Aphrodite Kanellopoulou Lloyds Register EMEA (Athens office - online presentation)
  Description: AI and advanced modelling open new opportunities to optimize ship design, from hull form generation, calm water resistance prediction to optimized structural generation and hereby reducingdevelopment time and improve energy efficiency. This presentation demonstrates how data-driven design methods canbenefit the maritime industry and highlights some of thechallenges of integrating AI into traditional engineering workflows.
• 18:00 Bridging Virtual and Physical Reality: Ensuring Valid and Relevant Maritime Data
  Speaker: Dimitrios Papageorgiou, DTU associate professor / 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 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 computingcloses 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

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