Velasco-Gallego C., Cubo-Mateo N., 2025. Markov-CVAELabeller: A Deep Learning Approach for the Labelling of Fault Data. Informatics 12 (2), doi: https://doi.org/10.3390/informatics12020035.

Velasco-Gallego C., Lazarus I., Cubo-Mateo N., 2024. Development of a hierarchical method for anomaly identification and labelling of marine machinery data. Journal of Marine Science and Technology 12 (10) , doing: https://doi.org/10.3390/jmse12101792.

Bernadi-Forteza A., Mallon M., Velasco-Gallego C., Cubo-Mateo N., 2024. A Systematic Review on the Generation of Organic Structures through Additive Manufacturing Techniques. Polymers 16 (14), doi: https://doi.org/10.3390/polym16142027.

Matutano Molina C., Velasco-Gallego C., Portillo-Juan N., Negro Valdecantos V., Cubo-Mateo N., 2023. Geospatial Analysis of Scour in Offshore Wind Farms. Energies 16 (15), doi: https://doi.org/10.3390/en16155616.

Velasco-Gallego C., Navas De Maya B., Matutano Molina C., Lazakis I., Cubo Mateo N., 2023. Recent advancements in data-driven methodologies for the fault diagnosis and prognosis of marine systems: A systematic review. Ocean Engineering 284, doi: https://doi.org/10.1016/j.oceaneng.2023.115277.

Velasco-Gallego C., Lazakis I., 2022. Analysis of variational autoencoders for imputing missing values from sensor data of marine systems. Journal of Ship Research 66, pp. 1-15, doi: https://doi.org/10.5957/JOSR.09210032

Velasco-Gallego C., Lazakis I., 2022. Development of a time series imaging approach for fault classification of marine systems. Ocean Engineering 263, pp. 1-13, doi: https://doi.org/10.1016/j.oceaneng.2022.112297

Velasco-Gallego C., Lazakis I., 2022. RADIS: A real-time anomaly detection intelligent system for fault diagnosis of marine machinery. Expert Systems with Applications 204, pp. 1-13, doi: https://doi.org/10.1016/j.eswa.2022.117634

Velasco-Gallego C., Lazakis I., 2022. A real-time data-driven framework for the identification of steady states of marine machinery. Applied Ocean Research 121, pp. 1-12, doi: https://doi.org/10.1016/j.apor.2022.103052

Velasco-Gallego C., Lazakis I., 2021. A novel framework for imputing large gaps of missing values from time series sensor data of marine machinery systems. Ships and Offshore Structures 17(8), pp. 1-11, doi: https://doi.org/10.1080/17445302.2021.1943850

Velasco-Gallego C., Lazakis I., 2020. Real-time data-driven missing data imputation for short-term sensor data of marine systems. A comparative study. Ocean Engineering 218, pp. 1-23, doi: https://doi.org/10.1016/j.oceaneng.2020.108261

Velasco-Gallego C., Lazakis I., Polaki V., 2024. Analysis of attention mechanisms for the prediction of ship fuel oil consumption. In the 63rd International Congress of Naval Architecture Marine Technology and Maritime Industry Proceedings.

Velasco-Gallego C., Lazakis I., 2022. PreONA: A data pre-processing tool for marine systems sensor data. In the International Conference on Postgraduate Research in Maritime Technology (PostGradMarTec 2022) Proceedings.

Velasco-Gallego C., Lazakis I., 2022. Analysis of time series imaging approaches for the application of fault classification of marine systems. In the 32nd European Safety and Reliability Conference (ESREL 2022) Proceedings.

Velasco-Gallego C., Lazakis I., 2021. Data imputation of missing values from marine systems sensor data. Evaluation, visualisation, and sensor failure detection. In RINA Maritime Innovation and Emerging Technologies Online Conference 2021 Proceedings Royal Institution of Naval Architects.

Development of the workshop “human vs machine" for the 2025 Madridesciencia. May 2025.

Development of the workshop “AI in 3D” for the 24th edition of the Madrid Science and Innovation Week. November 2024.

Participation in the 1st Congress on Teaching Innovation of the Universities of Madrid with the study “Use of generative artificial intelligence tools in the classroom: analysis of the perspectives of students and teachers”. October 2024.

Participation in the VII Nebrija International Conference on Transversality in Teaching with the study ‘learning artificial intelligence with artificial intelligence’. May 2024.

Speaker at the round table AI 360º: a journey through the possibilities and challenges of artificial intelligence at the Meta World Congress. May 2024.

Best Presentation 2nd Prize Winner. Degree of recognition: International. Awarded at 63rd International Congress of Naval Architecture Marine Technology and Maritime Industry. April 2024.

Development of the workshop “Unleashing creativity: demystifying generative AI - a journey through the imaginary” for the 23rd edition of the Madrid Science and Innovation Week. November 2023.

Organiser and speaker at the conference on digital transformation in the maritime sector: the value of data. This event was organised by the Jorge Juan Engineering Foundation and Nebrija University. May 2023.

Development of the workshop “application of augmented intelligence in renewable energies” given for the 7th edition of the Road Engineering Week. March 2023.

SNAME Graduate Paper Honor Prize Winner 2022. Degree of recognition: International. Awarded at SNAME Maritime Convention (SMC) 2022. Houston, USA (September 2022).

Postgraduate Research Travel Award 2022. Funding support to attend to the ESREL 2022 conference in Dublin, Republic of Ireland.

Smart condition monitoring and ship maintenance (2022). Invited lecture (online) at PPNS University (Indonesia).

SNAME Western Europe Section Paper Contest 2nd Prize Winner 2021. Degree of recognition: International. Awarded at 11th Annual UK Symposium (London - UK, October 2021). Technical presentation was also provided in such a symposium.

University Research Excellence Award (REA) Studentship. Awarded to pursue the studies of Doctor of Philosophy in Naval, Ocean, & Marine Engineering at University of Strathclyde, starting in Feburary 2020.

Maritime digitalisation and its impact on sustainability (web article, 2022).

Velasco-Gallego C., Lazakis I., 2021. A real-time semi-supervised anomaly detection framework for fault diagnosis of marine machinery systems. pp. 1-10. Paper presented at SNAME WES Paper Contest 2021, London, United Kingdom.

Revolutionising the maritime industry with Smart Maintenance (web article, 2021).