DOSITA
Data-Driven System Identification for Autonomous Marine Systems
Exploring intelligent system identification approaches for sustainable and autonomous maritime technologies.
Overview
Project Overview
DOSITA is a PhD research project focused on the design and development of an open-source, intelligent system identification framework for autonomous marine vessels. This research aims to contribute to the cost-effective decarbonisation and sustainable operation of autonomous marine vessels, aligned with the UK Net Zero target (Net Zero Strategy).
Motivation
Why This Research Matters
Maritime operations contribute approximately 3% of global greenhouse gas (GHG) emissions, placing growing pressure on maritime stakeholders to reduce their carbon footprint. Although sustainable fuels are under development, operational optimisation—particularly through state-of-the-art technologies—remains an immediate and effective pathway to reduce emissions.
Research
Research Direction
The research investigates data-driven approaches to simulation and modelling within marine robotics environments. The project explores how artificial intelligence and modern data analysis techniques can support the development of more sustainable intelligent maritime systems.
Research Outputs
Publications
Publications related to this research project will appear here as they become available.
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Rezayan, P. (2025). MSc Dissertation. Preliminary research informing DOSITA.
People
Research Team
PhD Researcher
Supervisory Team
Dr. Yogang Singh
Assistant Professor
Sheffield Hallam University
Dr. Fuat Kara
Associate Professor
Sheffield Hallam University
Dr. Konstantinos Domdouzis
Assistant Professor
Sheffield Hallam University
Dr. Michele Martelli
Associate Professor
University of Genoa