Advanced Studies in Marine Data Analysis
A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".
Deadline for manuscript submissions: 10 September 2025 | Viewed by 144
Special Issue Editors
Interests: maritime safety and security; intelligent transportation systems; green shipping; autonomous shipping; onshore/offshore clean energy
Special Issues, Collections and Topics in MDPI journals
Interests: navigation safety assessment of ships under constrained conditions; uncertainty quantification analysis; applications of machine learning in ship hydrodynamics; motion prediction
Special Issues, Collections and Topics in MDPI journals
Interests: marine hydrodynamics; offshore renewable energy; mooring dynamics; AI-driven techniques for real-time predictions of mooring dynamics, motion responses of offshore structures, and wave elevations
Special Issues, Collections and Topics in MDPI journals
Interests: reliability and failure analysis; applied intelligence; diagnostics and prognostics; dynamic & vibration; uncertainty quantification and propagation; structural reliability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The increasing availability of marine data, driven by advancements in sensing technologies, automated monitoring, and digitalisation, has created new opportunities and challenges in maritime research. This Special Issue focuses on innovative methodologies and applications of marine data analysis, leveraging advanced artificial intelligence (AI), machine learning, deep learning, and big data analytics to enhance maritime operations, safety, and environmental sustainability.
This Special Issue welcomes research contributions that address key challenges in marine data analysis, including ship trajectory prediction, maritime situational awareness, cybersecurity risk assessment, energy-efficient route optimisation, and autonomous shipping technologies. Studies applying machine learning, deep learning, Bayesian networks (BNs), graph-based modelling, and hybrid AI approaches to extract valuable insights from automatic identification system (AIS) data and/or radar data, satellite observations, wind turbine data, and sensor networks are particularly encouraged. Additionally, research on predictive analytics for maritime safety, emission modelling for sustainable shipping, and AI-driven decision support systems will be considered.
By gathering state-of-the-art research in marine data analysis, this Special Issue aims to advance data-driven decision-making in maritime transportation, improve risk mitigation strategies, and promote the integration of AI in intelligent marine systems. We invite original research and review articles that contribute to developing robust, interpretable, and trustworthy AI solutions for complex maritime environments.
Dr. Huanhuan Li
Dr. Lu Zou
Prof. Dr. Sheng Xu
Dr. Zifei Xu
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- marine data analytics
- autonomous shipping
- big data in maritime transportation
- maritime cybersecurity
- maritime situational awareness
- AI-driven decision support systems
- intelligent marine systems
- risk assessment
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