TwinShip Consortium Podcast 4 with Lokukaluge Prasad Perera

๐Ÿšข TwinShip Interview: Building Trustworthy AI & Digital Twins for a Smarter and Greener Shipping Future! ๐ŸŒ

How can Digital Twins, Artificial Intelligence (AI), secure data sharing and Decision Support Systems (DSS) transform the maritime industry towards a more sustainable future?

๐ŸŽ™๏ธ In a recent TwinShip Horizon Europe project interview, Professor Lokukaluge Prasad Perera, Project Coordinator from UiT The Arctic University of Norway, shared insights into the project's development, technological innovations, current achievements and future vision for AI-powered maritime digitalisation and decarbonisation.

๐Ÿ”น ๐Ÿ” Building Trust Through Secure Data Sharing
One of the biggest challenges in maritime research is obtaining operational data from shipowners. TwinShip addresses this through the open-source VesselAI platform, enhanced with encryption, cybersecurity features and controlled data access to protect commercially sensitive information.

๐Ÿ”น ๐Ÿšข Developing Advanced Digital Twins
TwinShip combines physics-based knowledge, vessel operational data, machine learning and AI to develop more generalised Digital Twin models that can be continuously updated as new vessel data becomes available.

๐Ÿ”น ๐Ÿง  Integrating Generative AI with Digital Twins
Generative AI could transform how maritime professionals interact with complex digital systems. Future users could communicate in natural language with Digital Twins and DSS applications to obtain operational recommendations, visualisations and technical insights.

๐Ÿ”น ๐Ÿ“Š AI-Powered Decision Support for Decarbonisation
TwinShip focuses on three key applications:

โœ… Weather Routing โ€“ Optimising voyages to improve fuel efficiency and reduce emissions.

โœ… Life Cycle Cost Analysis (LCCA) โ€“ Evaluating future technologies, retrofits and investment returns.

โœ… Environmental Impact Assessment (EIA) โ€“ Assessing emissions and the environmental benefits of alternative technologies.

๐Ÿ”น ๐Ÿค Trustworthy Researchโ€“Industry Collaboration
The project brings together maritime experts, shipowners, technology providers, researchers and software developers. Building mutual trust, protecting confidential information and combining multidisciplinary expertise are fundamental to its success.

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๐Ÿ”น ๐ŸŽ“ Human-Centred AI and Future Skills
As AI advances rapidly, continuous training, knowledge exchange and industrial involvement are essential to ensure that maritime professionals can understand, trust and effectively use these technologies.

๐Ÿ”น ๐ŸŒ Open-Source Innovation for European Shipping
TwinShip aims to make its technological developments reusable, allowing future researchers and industrial users to explore Digital Twin modelling, maritime decision support and AI-powered applications.

๐ŸŒฑ Beyond Technology: A Greener Maritime Future

The ultimate objective is not simply to digitalise ships, but to develop more energy-efficient maritime operations, reduce greenhouse gas emissions, support innovation, strengthen European competitiveness and contribute to a more sustainable society.

๐Ÿ’ก The future of shipping lies in combining classical maritime engineering, reliable operational data, trustworthy AI and human expertise.

๐Ÿšข TwinShip aims to become a guiding light in the maritime industry's digital and green transition!

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TwinShip & DataPACT Horizon Europe projects at the Shipping & Port Leadership Summer School 2026

๐Ÿšขย TwinShip Consortium & DataPACT project at the Shipping & Port Leadership Summer School 2026ย  Port of Constanศ›a, Romania ๐ŸŒโš“

URL: https://bbs.ase.ro/programs/executive-certificates-master-classes/shipping-port-leadership/


The TwinShip Consortium Horizon Europe project, together with the DataPACT project Horizon Europe project, was presented during the second edition of the ๐—ฆ๐—ต๐—ถ๐—ฝ๐—ฝ๐—ถ๐—ป๐—ด & ๐—ฃ๐—ผ๐—ฟ๐˜ ๐—Ÿ๐—ฒ๐—ฎ๐—ฑ๐—ฒ๐—ฟ๐˜€๐—ต๐—ถ๐—ฝ ๐—ฆ๐˜‚๐—บ๐—บ๐—ฒ๐—ฟ ๐—ฆ๐—ฐ๐—ต๐—ผ๐—ผ๐—น, held at the Port of Constantaศ›a, Romania, from 21โ€“25 September 2026.

The programme brought together professionals from private companies, public institutions, academia, and the maritime and port sectors for an intensive week of learning, discussion, and collaboration, with particular attention to the Middle Corridor and the future of maritime connectivity.

As part of Session 15, Lokukaluge Prasad Perera and Dumitru Roman, representing UiT- The Arctic University of Norway and SINTEF Digital, delivered the presentation โ€œDigitalization, Decarbonization and Sustainability in Shippingโ€ on 24 September 2026.

๐Ÿ’ก The session explored how the maritime sector can combine digitalization and decarbonization through:
๐Ÿ”น Digital Twins and Decision Support Systems for more efficient and sustainable ship operations
๐Ÿ”น Weather routing, Life Cycle Cost Analysis and Environmental Impact Assessment
๐Ÿ”น Digital Twin-enabled pathways towards zero-emission shipping
๐Ÿ”น Standardized vessel data, ontologies and knowledge graphs for improved interoperability
๐Ÿ”น Compliance-by-Design for maritime Data/AI operations
๐Ÿ”น Secure and sovereign data spaces supporting trusted shipโ€“portโ€“authority information exchange
๐Ÿ”น The role of digital infrastructure in supporting decisions across the Middle Corridor

The session was designed to show how ship data, digital twins and compliant data sharing can support corridor-level decision-making, followed by an interactive group exercise in which participants developed data-use cases for the Middle Corridor.

๐Ÿšข TwinShip is developing an open-source, Digital-Twin-enabled Decision Support System for zero-emission shipping, integrating system-of-systems DT models, vessel data spaces, data-quality governance, model evaluation and real-world pilot demonstrations.

๐Ÿ” DataPACT, coordinated by SINTEF, complements this work through Compliance-by-Design for Data/AI Operations and Pipelines, providing methods and tools for regulatory compliance, trustworthy data sharing, pipeline lineage and data spacesโ€”capabilities with strong relevance to maritime digitalization and emissions reporting.

๐Ÿค It was a valuable opportunity to connect research, regulation, technology and operational experience, and to discuss how European research and innovation can contribute to a more connected, data-driven, sustainable and resilient maritime transport system.

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TwinShip Consortium Podcast 3 with Kostas Belibassakis

๐Ÿšข TwinShip Interview: Where Physics Meets AI for Smarter and Greener Shipping

How can the maritime sector combine traditional naval architecture, Digital Twins, Artificial Intelligence and real vessel data to make better decisions for future ships?

In a recent TwinShip interview, Professor Kostas Belibassakis from the National Technical University of Athens (NTUA) shared his insights on how physics-based engineering and AI can work together to support safer, more efficient, and lower-emission shipping.

๐ŸŒŠ Hydrodynamics remains the foundation
Understanding how a vessel interacts with water, waves and propulsion systems is essential for predicting resistance, power demand, manoeuvrability and overall performance.

๐Ÿ“Š The big change: huge amounts of vessel data
Modern sensors, telemetry and data-processing systems are transforming naval architecture. Operational data can now be combined with physical models to improve predictive capability and support smarter decisions.

๐Ÿง  AI should not replace physics โ€” it should work with it
Purely data-driven models may struggle when ships encounter unexpected or poorly represented conditions. TwinShip therefore explores physics-based and physics-informed Digital Twins, where engineering knowledge constrains and strengthens AI predictions.

๐Ÿ”น Digital Twins as the foundation of Decision Support
Digital Twins can support both short-term voyage decisions and longer-term strategic decisions involving vessel performance, future technologies, retrofits and lifecycle operation.

โš™๏ธ Testing technologies on real vessels
Within TwinShip, NTUA has developed prototype Digital Twins combining vessel design and operational data to assess alternative fuels, propulsion options, and emission-reduction potential.


๐ŸŒฑ There is no single solution for decarbonisation
Their effectiveness depends on the vessel, route, and operating conditions, so the best technology can vary significantly between ships.

๐ŸŽ“ The naval architect of the future will need new skills
Future maritime engineers will increasingly need knowledge of statistics, probability, data assimilation, algorithms and programming, while still maintaining a strong foundation in hydrodynamics, propulsion, CFD and ship design.

๐Ÿค The real opportunity lies in closing the gap between engineering and data science.

๐Ÿšข TwinShip is helping build that bridge โ€” combining physics, real-world vessel data and AI to give shipowners stronger evidence for selecting future fuels, technologies and operational strategies.

๐ŸŒ Physics tells us how ships should behave.
Data tells us how they actually behave. AI can help connect the two.

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TwinShip Consortium Podcast 2 with Demetres Armanes

๐Ÿšข TwinShip: Building Trust, Safety & Intelligence into the Digital Future of Shipping

As shipping moves toward Digital Twins, Artificial Intelligence, advanced automation and alternative fuels, one question becomes increasingly important:

๐Ÿ‘‰ How can we innovate while keeping safety, trust and human understanding at the centre?

In a recent TwinShip interview, Dr. Demetres Armanes, Ph.D from American Bureau of Shipping (ABS) discussed how classification societies can support the maritime sectorโ€™s digital transformation โ€” from defining requirements and validating new technologies to ensuring that innovation remains practical, reliable and safe throughout a vesselโ€™s lifecycle.

๐Ÿ”น Digital Twins for smarter decisions
Digital twins can provide a virtual reference of a vessel or onboard system, allowing operators to compare actual performance with expected behaviour, identify degradation and support maintenance and operational optimisation.

๐Ÿ”น Trust depends on uncertainty
A digital model does not need to be perfect โ€” but users need to understand its limitations and how uncertainty can influence the decision being made. The acceptable level of uncertainty depends on the operational risk and the purpose of the model.

๐Ÿ”น AI must operate within a safe envelope
AI and advanced automation may bring major opportunities for optimisation, but they should operate within clearly defined and independently protected safety boundaries.

โš ๏ธ โ€œYou cannot cross these safety lines.โ€

๐Ÿ”น Human understanding remains essential
As vessels become more automated, crews will need new knowledge, training and confidence in increasingly intelligent systems.

๐Ÿ’ก A powerful message from the interview:

๐Ÿ‘‰ โ€œWith understanding comes acceptance.โ€


Knowing how systems work, how they may fail and how to respond can significantly reduce uncertainty and build trust among seafarers.

๐Ÿ”น Supporting the green transition ๐ŸŒฑ
Smarter and more connected systems can support multi-objective decision-making, including operational efficiency, just-in-time arrival and the transition towards alternative fuels.
๐Ÿ”น Breaking down onboard data silos ๐Ÿ”—
The interview also highlighted a fundamental challenge: even modern vessels may still have isolated data systems. Future ships need to be designed with stronger digital connectivity and data infrastructure from the beginning.

๐Ÿค TwinShip brings together shipowners, technology providers, researchers, software developers and classification experts to ensure that digital innovation is not only advanced โ€” but also trustworthy, validated and ready for real maritime operations.

๐Ÿšข Innovation needs freedom to develop โ€” but safety must remain the foundation.

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TwinShip Workshop on Secure and Trustworthy Data Sharing and Processing.

Secure and trustworthy data sharing and processing in shipping, while ensuring the required levels of safety, security, and confidentiality, remains one of the key challenges facing the maritime community, particularly when developing Digital Twin (DT) solutions and their associated Decision Support System (DSS) applications. To address this challenge, the TwinShip software development team gathered on 10 September at Wรคrtsilรค Sustainable Technology Hub Vaasa, Finland, for a dedicated workshop focused on advancing secure data sharing and software integration through the open-source VesselAI digital platform. WS1

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