Publications

The shipping industry aims to achieve full decarbonization at the European Union (EU) level by mid-century. Over the past decade, various alternative fuels have been explored to address this goal. However, challenges such as insufficient bunkering infrastructure, technological immaturity, and high costs have made shipowners hesitant to invest in “clean” propulsion systems. This study conducts

In streaming applications, it is often required to detect situations of interest, by means of temporal pattern matching, with minimal latency. In the maritime domain, e.g., where it is crucial to prevent activities that are harmful to the environment, we need to report illegal fishing activities, based on streams of low-level vessel actions, as soon

Composite event recognition (CER) frameworks reason over streams of low-level, symbolic events in order to detect instances of spatio-temporal patterns defining high-level, composite activities. The Event Calculus is a temporal, logical formalism that has been used to define composite activities in CER, while RTEC∘ is a formal CER framework that detects composite activities based on

Lately, the availability of massive amounts of data necessitates the adoption of modern representation techniques, such as knowledge graphs (KGs). KGs are typically constructed via automated procedures and by utilizing heterogeneous data sources. This nevertheless hinders the quality of these large resulting KGs, as they might contain contradictions, that is a set of assertions that

We enrich Automatic Identification System (AIS) data with fixtures data and ports data, in order to create a comprehensive maritime database. The dataset comprises AIS messages from vessels operating in North American waters throughout 2019–2022. Leveraging data pre-processing, clustering algorithms and structured matching techniques, we offer a novel framework for assessing port efficiency and vessel

Modern critical infrastructures encompass facilities and systems vital to societal functions, in sectors such as health, transportation, food and energy. The matter of security in critical infrastructures, particularly renewable energy assets, is increasingly important nowadays in the context of extreme weather events and natural hazards, as it translates to safety threats and green energy production

Digital Twins are now considered as modern and innovative tools designed to optimize port operations through the continuous collection and real-time analysis of data. This process is facilitated by sensors, the Internet of Things (IoT), unmanned vehicles, and the advanced capabilities of artificial intelligence. These technologies enhance infrastructure management, reduce costs, prevent malfunctions, improve security

Effective monitoring and evaluation (M&E) are essential for ensuring that Maritime Spatial Planning (MSP) contributes to the sustainable development of the blue economy while maintaining alignment with institutional frameworks. The study presented in this paper develops a stakeholder-driven M&E framework for sustainable MSP, emphasizing a participatory methodology to enhance the relevance and applicability of performance

Complex Event Forecasting (CEF) is a process whereby complex events of interest are forecast over a stream of simple events. CEF facilitates proactive measures by anticipating the occurrence of complex events. This proactive property, makes CEF a crucial task in many domains; for instance, in maritime situational awareness, forecasting the arrival of vessels at ports

This paper develops a logistic regression model in an in-house credit assessment system (ICAS) framework for predicting corporate defaults in the Greek economy. We consider the impact of the COVID-19 pandemic and the associated government financial support schemes, aiming to protect against financial vulnerabilities, on the probability of default of non-financial firms, as well as