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Personal profile

Personal Statement

Dr Coraddu has been Assistant Professor in the Department of Naval Architecture, Ocean & Marine Engineering at the University of Strathclyde since October 2018. His relevant professional and academic experiences include working as Teaching Associate at the University of Strathclyde, Research Associate at the School of Marine Science and Technology at Newcastle University, Research Engineer as part of the DAMEN R&D department based in Singapore, and serving as Postdoctoral Research Fellow at the University of Genoa, where he was awarded a Laurea and a PhD in Naval Architecture and Marine Engineering.


Dr Coraddu’s research focuses on modelling, optimisation and analysis of ship power plants and propulsion systems for efficiency improvement and reduction of environmental footprint. His primary research involves taking advantage of on-board data availability in assessing vessel performance, energy optimisation, and real-time monitoring of the primary systems. Utilising the latest learning algorithms and theoretical results in machine learning, Dr Coraddu is developing data-driven approaches to investigate the behaviour of complex on-board systems and their mutual interaction.


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Ships Engineering & Materials Science
Propulsion Engineering & Materials Science
Fuel consumption Engineering & Materials Science
Energy efficiency Engineering & Materials Science
Propellers Engineering & Materials Science
Seakeeping Engineering & Materials Science
Ship propulsion Engineering & Materials Science
Wave effects Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2018 2022

Research Output 2008 2019

1 Citation (Scopus)

A novelty detection approach to diagnosing hull and propeller fouling

Coraddu, A., Lim, S., Oneto, L., Pazouki, K., Norman, R. & Murphy, A. J., 15 Mar 2019, In : Ocean Engineering. 176, p. 65-73 9 p.

Research output: Contribution to journalArticle

Support vector machines
Learning systems

Data-driven ship digital twin for estimating the speed loss caused by the marine fouling

Coraddu, A., Oneto, L., Baldi, F., Cipollini, F., Atlar, M. & Savio, S., 15 Aug 2019, In : Ocean Engineering. 186, 14 p., 106063.

Research output: Contribution to journalArticle

Fuel consumption
Freight transportation


Hull, Propeller and Gas Turbine efficiency decay: Data Analysis with Minimal Feedback

Coraddu, A. (Creator), Oneto, L. (Creator), Cipollini, F. (Creator), Anguita, D. (Creator), University of Strathclyde, 29 May 2018



An edge processing solution development for vessel condition monitoring

Author: Michala, A. L., 1 May 2018

Supervisor: Coraddu, A. (Supervisor) & Turan, O. (Supervisor)

Student thesis: Doctoral Thesis

Activities 2017 2019

2nd International Conference on Modelling and Optimisation of Ship Energy Systems

Gerasimos Theotokatos (Organiser), Andrea Coraddu (Organiser)
8 May 201910 May 2019

Activity: Participating in or organising an event typesOrganiser of major conference

Journal of Marine Science and Engineering (Journal)

Gerasimos Theotokatos (Guest editor), Andrea Coraddu (Guest editor)

Activity: Publication peer-review and editorial work typesJournal or guest editorship