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., 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.

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.

Robust Data-driven Design for Fault Diagnostics of Industrial Drives. Electronics

Dynamic Muscle Fatigue Recognition Based on Deep Convolutional Neural Network. Healthcare

A Neural Network Aeromagnetic Compensation Algorithm Based on residual connection. Applied Sciences

Research on Fault Diagnosis Method of A-class Thermal Insulation Panel Production Line Based on Multi-sensor Data Fusion. Applied Sciences

Data imputation framework for large scale missing data, based on multi-criteria analysis and machine learning: case study of BMI data. Complex & Intelligent Systems

Knacks of a hybrid anomaly detection model using deep auto-encoder driven gated recurrent unit. IEEE Access

EinImpute: A Local Gene-Based Approach to Imputation of Dropout Events in ScRNA-seqData. Journal of Ambient Intelligence & Humanized Computing

A study on the Method of Eliminating Duplication of Ocean Temperature and Salinity Data. The Third International Conference on Artificial Intelligence, Information Processing and Cloud Computing

SESGAN: Style-Enhanced StarGAN for Image-to-Image Translation. Complex & Intelligent Systems

Multiple Spatial Residual Network for Object Detection. Complex & Intelligent Systems

A Study of Sparse Representation-based Classification for Biometric Verification. Complex & Intelligent Systems

An Adaptive Timing Mechanism for Urban Traffic Pre-signal Based on Hybrid Exploration Strategy to Improve DDQN . Complex & Intelligent Systems

A Method of Real-time Data Access and Storage in Urban Rail Based on Containers. The 6th International Conference on Computer Science and Application Engineering

A Method of Construction of Real-time Data Processing in Urban Rail Data Center. The 6th International Conference on Computer Science and Application Engineering

An Investigation of the Performance of the Artificial Neural Network Method for Predicting the Base Shear and Overturning Moment Time-series Datasets of an Offshore Jacket Structure based on Time and Water Surface Level Data. Journal of Experimental Results

Partial Multiple Imputation with Variational Autoencoders: Tackling Not at Randomness in Healthcare Data. IEEE Journal of Biomedical and Health Informatics

On Sparse Gradient Denoising Optimization of Neural Network Model for Rolling Bearing Fault Diagnosis. Journal of Marine Science and Engineering

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).