UDC/Navantia-DC1: Big data and Digital Twin in Ship Industry

Project 1: Big data for shipyard 4.0: Data stream mining

The project is aimed to perform mining of data coming from devices like sensors and buoys, which have great relevance with quality assurance in the ship building process. Specific research issues include: (i) analysis of feature- and distance-based methods for effective clustering/classification of multidimensional time series data streams, (ii) identification and detection of anomaly behaviours, and (iii) introduction of techniques robust to the presence of noises/imprecise readings.

Supervisors: Prof. Jenny Zhang (RMIT) and Professor Jose Antonio Vilar-Fernandez (UDC) and José Luis González Leal (Navantia)

 

Project 2: Streaming big data analytics for Shipyard 4.0

Streaming big data generated by smart sensors can be exploited to trigger alarms for emergency situations and events in the manufacturing process. A challenge in analysing the streaming sensor data is the lack of semantics in the data streams. The project aims to design integrated technologies for decreasing the costs for ship monitoring, assessment and maintenance by collecting data from devices like sensors and buoys, processing and uploading to the data lake. 

Supervisors: Prof. Jenny Zhang (RMIT) and Prof. Amparo Alonso-Betanzos (UDC) and José Luis González Leal (Navantia)

 

Project 3: The Digital Twin for the Evaluation of Ship Safety

The main objective of this PhD would be to develop the main points needed to set up a Digital Twin with the main goal of analysing and predicting the ship behaviour after damage. This digital twin should receive data from the real vessel and the environment, and generate information regarding the status of the ship, which would be of great interest for the ship master as a tool to take data-based decisions and which would help in the case of an accident. 

Supervisors: Prof. Jenny Zhang (RMIT) and Prof. Marcos Miguez González (UDC) and Prof. Vicente Díaz-Casas (UDC) and José Luis González Leal (Navantia)

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Reference

UDC/Navantia-DC1

Research Areas

Mathematics, statistics and analytics, Data science, Machine learning, Artificial intelligence and Data analytics, Artificial intelligence, Machine learning, Data Analytics and Data science and Artificial intelligence, Support systems, Naval architecture and Industry 4.0

Research Host

University of A Coruña (UDC)

PhD awarding institution/s

University of A Coruña (UDC) and RMIT University

Location

Spain

Status

Open Position

RMIT University

Other Positions

Supervisors

Associate Prof. Andrey Molotnikov (RMIT), Professor Dr.-Ing. Thomas Niendorf (UoK), Philipp Krooss (UoK) and Dr. Markus Weinmann (UoK)

PhD awarding institution/s

University of Kassel (UoK) and RMIT University

Location

Germany

Status

Open Position

Supervisors

Prof. Jenny Zhang (RMIT) and Prof. Jose Antonio Vilar-Fernandez (UDC) and José Luis González Leal (Navantia) and Prof. Amparo Alonso-Betanzos (UDC) and Prof. Vicente Díaz-Casas (UDC) and Prof. Marcos Miguez González (UDC)

PhD awarding institution/s

University of A Coruña (UDC) and RMIT University

Location

Spain

Status

Open Position

Supervisors

Prof. Anne-Laure Mention (RMIT) and Associate Prof. Carsten Nico Hjortso (UPCH) and Dr. Marie Smed (UPCH)

PhD awarding institution/s

University of Copenhagen (UCPH) and RMIT University

Location

Denmark

Status

Open Position

RMIT and many of the REDI partners are HSR4R certified
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101034328.

Results reflect the author’s view only. The European Commission is not responsible for any use that may be made of the information it contains