Open collaboration and open Digital Twin infrastructure for Green Smart Shipping

Deliverables

Connectors Module 1st Version, IoT infrastructure, Internal and External Connectors matching selected priority use cases. This deliverable includes the outputs of T2.2.

DT4GS Model Blueprints and Open Model Library v1

Model blueprints template, and optimised models, Open Model Library (OML) prototype. This deliverable includes the outputs of T2.4.

DT4GS knowledge Hub v1

Observatory for GS Solutions first release. This deliverable includes the outputs of T3.1.

DT4GS Edge and Orchestration Infrastructure v1

Cloud based infrastructure for services provisioning, deployable library on vessels. Hosting and orchestration services including tools for deployment automation. This deliverable includes the outputs of T2.5.

DT4GS modelling framework for ship operational performance optimisation including ship efficiency innovations

Modelling Framework Specification, Navigation Management and hull models, Integrated Machinery Performance management and remote-control models, Integrated ship energy production models, Robust Fuel consumption models, and Life Cycle assessment Models. Model updates and Integrated modelling framework based on LL feedback. This deliverable includes the outputs of T1.2.

DT4GS Value-oriented Analysis in enabling Shipping Decarbonisation

Value Oriented Analysis, LLs Scenarios, Transition Challenges, and high-level scenarios Requirements. This deliverable includes the outputs of T1.1.

Dissemination & Communication v1

Establish project communication and dissemination Strategy/Plan and report. This deliverable includes the outputs of T5.1.

Publications

Knowledge Graphs underpinning ship digital twins for decarbonisation options assessment

Author(s): Bill Karakostas; Antonis Antonopoulos
Published in: International Marine Design Conference, 2024, ISSN 3050-4864
Publisher: IMDC
DOI: 10.59490/IMDC.2024.871

Ship Design in the Era of Digital Transition

Author(s): Apostolos Papanikolaou, Evangelos Boulougouris, Stein-Ove Erikstad, Stefan Harries, Austin A. Kana
Published in: International Marine Design Conference, 2024, ISSN 3050-4864
Publisher: TU Delft OPEN Publishing
DOI: 10.59490/IMDC.2024.784

Marine Voyage Optimization and Weather Routing with Deep Reinforcement Learning

Author(s): Charilaos Latinopoulos, Efstathios Zavvos, Dimitrios Kaklis, Veerle Leemen, Aristides Halatsis
Published in: Journal of Marine Science and Engineering, Issue 13, 2025, ISSN 2077-1312
Publisher: MDPI AG
DOI: 10.3390/JMSE13050902

Trajectory Mining and Routing: A Cross-Sectoral Approach

Author(s): Dimitrios Kaklis; Ioannis Kontopoulos; Iraklis Varlamis; Ioannis Z. Emiris; Takis Varelas
Published in: Journal of Marine Science and Engineering, 2024, ISSN 2077-1312
Publisher: MDPI
DOI: 10.3390/JMSE12010157

Digital twin for ship life-cycle: A critical systematic review

Author(s): F. Mauro, A.A. Kana
Published in: Ocean Engineering, Issue Article 113479, 2023, ISSN 0029-8018
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.oceaneng.2022.113479

Marine Voyage Optimization and Weather Routing with Deep Reinforcement Learning

Author(s): Charilaos Latinopoulos, Efstathios Zavvos, Dimitrios Kaklis, Veerle Leemen, Aristides Halatsis
Published in: Journal of Marine Science and Engineering, Issue 13, 2025, ISSN 2077-1312
Publisher: MDPI AG
DOI: 10.3390/JMSE13050902

Agentic AI for Digital Twin

Author(s): Alexander Timms, Abigail Langbridge, Antonis Antonopoulos, Antonis Mygiakis, Eleni Voulgari, Fearghal O'Donncha
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 39, 2025, ISSN 2374-3468
Publisher: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V39I28.35373

Enabling digital twins in the maritime sector through the lens of AI and industry 4.0

Author(s): Dimitrios Kaklis, Iraklis Varlamis, George Giannakopoulos, Takis J. Varelas, Constantine D. Spyropoulos
Published in: International Journal of Information Management Data Insights, Issue Article 100178, 2023, ISSN 2667-0968
Publisher: Elsevier Ltd
DOI: 10.1016/J.JJIMEI.2023.100178

Retrofit modeling for green ships

Author(s): Julien J. M. Hermans; Austin A. Kana
Published in: International Marine Design Conference, 2024, ISSN 3050-4864
Publisher: IMDC
DOI: 10.59490/IMDC.2024.890

Agentic AI for ship routing

Author(s): Fearghal O'Donncha, Abigail Langbridge, Alexander Timms, Antonis Antonopoulos, Antonis Mygiakis, Eleni Voulgari
Published in: 2025
Publisher: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-19197

Applying Hybrid Quantum LSTM for Indoor Localization Based on RSSI

Author(s): S.F. Chien, David Chieng, Samuel Y.C. Chen, Charilaos C. Zarakovitis, H. S. Lim, Y.H. Xu
Published in: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
Publisher: IEEE
DOI: 10.1109/ICASSP48485.2024.10447032

A Digital Twin Enabled Decision Support Framework for Ship Operational Optimisation Towards Decarbonisation

Author(s): Antonis Antonopoulos, Bill Karakostas, Takis Katsoulakos, Anargyros Mavrakos, Theodosis Tsaousis, Stathis Zavvos
Published in: Proceedings of Eighth International Congress on Information and Communication Technology (ICICT 2023), 2023, ISSN 2367-3370
Publisher: Springer
DOI: 10.1007/978-981-99-3091-3_38

Agentic Anomaly Detection for Shipping

Author(s): A Timms, A Langbridge, F O'Donncha
Published in: NeurIPS 2024 Workshop on Open-World Agents, 2024
Publisher: NeurIPS 2024 Workshop on Open-World Agents

Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data

Author(s): Abigail Langbridge, Fearghal O’Donncha, James T Rayfield, Bradley Eck
Published in: 2024 IEEE International Conference on Big Data (BigData), 2025
Publisher: IEEE
DOI: 10.1109/BIGDATA62323.2024.10825081

A Digital Twin Enabled Decision Support Framework for Ship Operational Optimisation Towards Decarbonisation

Author(s): Antonopoulos, Antonis; Karakostas, Bill; Katsoulakos, Takis; Mavrakos, Anargyros; Tsaousis, Theodosis; Zavvos, Stathis
Published in: Proceedings of Eighth International Congress on Information and Communication Technology(ICICT 2023), 2023
Publisher: SpringerLink
DOI: 10.1007/978-981-99-3091-3_38

Knowledge Graph Based Digital Twin to Support Green Shipping

Author(s): Bill Karakostas, Antonis Antonopoulos, Takis Katsoulakos, Anargyros Mavrakos, Theodosis Tsaousis
Published in: CM3 – TRANSPORT 2023 : New Greener and Digital Modern Transport – its Challenges in Design Methods, Tools and Technologies : Book of Abstracts and Programme, 2024, ISSN 2670-191X
Publisher: Jyväskylän yliopisto

Time Series Analysis for Digital Twins in Green Shipping

Author(s): Lazaros Avgeridis; Konstantinos Lentzos; Dimitrios Skoutas; Ioannis Z. Emiris
Published in: SNAME 8th International Symposium on Ship Operations, Management and Economics, Issue SNAME-SOME-2023-028, 2023, ISSN 0000-0000
Publisher: OnePetro
DOI: 10.5957/SOME-2023-028

Quantum Neural Networks: A Path to Lower Emissions Through Fuel Consumption Prediction in Shipping

Author(s): S.F. Chien, Julien J.M. Hermans, Austin A. Kana, Charilaos. C. Zarakovitis, Stathis Zavvos, H.S. Lim
Published in: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
Publisher: IEEE
DOI: 10.1109/ICASSP49660.2025.10888871

From STEAM to Machine: Emissions control in the shipping 4.0 era

Author(s): Dimitrios Kaklis, Takis J. Varelas, Iraklis Varlamis, Pavlos Eirinakis, George Giannakopoulos, Constantine V. Spyropoulos
Published in: SNAME 8th International Symposium on Ship Operations, Management and Economics, Issue SNAME-SOME-2023-020, 2023
Publisher: OnePetro
DOI: 10.5957/SOME-2023-020

State-of-the-Art Digital Twin Applications for Shipping Sector Decarbonization

Author(s): Bill Karakostas and Takis Katsoulakos
Published in: 2024
Publisher: IGI Global
DOI: 10.4018/978-1-6684-9848-4

Deliverables

Publications

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