Publications

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

Temporal pattern matching tasks require the detection of situations of interest based on streams of symbolic events. The Run-Time Event Calculus (RTEC) is a formal framework that represents situations of interest as time-varying properties called ‘fluents’. Temporal patterns often express ‘Boolean combinations’ of situations; RTEC features two types of fluents that may model such patterns:

Predictive Maintenance (PM) represents a transformative approach applied in industry and, naturally, within the transportation sector, optimizing infrastructure functionality and resilience, while minimizing resources and costs. Diverging from traditional maintenance strategies, such as reactive and corrective methods, PM employs digital technologies—Edge and Cloud Computing, Internet of Things (IoT), Artificial Intelligence (AI)—to proactively anticipate and prevent

This chapter discusses some key considerations of central bank digital currency (CBDC) design to identify the potential benefits and risks of the CBDC issuance for global financial integration. First, it provides an overview of all CBDC design choices under investigation and development. Since the efficiency and integration of payment systems, the strengthening of financial stability

This paper develops a logistic regression model in an in-house credit assessmentsystem (ICAS) framework for predicting corporate defaults in the Greekeconomy. We consider the impact of the COVID-19 pandemic and the associatedgovernment financial support schemes, aiming to protect against financialvulnerabilities, on the probability of default of non-financial firms, as well asthe relevant sectoral and firm-size

Evacuating a large and complex environment, such as a large passenger vessel, either cruise or RoPax, is a safety-critical task that involves thousands of people in motion and a complex decision-making process. Despite the significant enhancement of maritime safety over the years, various hazards still pose threats to passengers and crew. To deal with this

The environmental impact of shipping sector includes the pollution caused by vessels to air and water environment. The water pollution is primarily caused by ship accidents and by untreated ballast water. To avoid maritime accidents, a complex system of regulations and safety management measures has been initiated to minimize and possibly avoid similar maritime disasters

This research is focused upon the evaluation of safe birth clause pursuant to US law, in conjunction with UK law, based on the recent US Supreme Court ruling over “ATHOS I”, which was fixed pursuant to an ASBATANKVOY charterparty to carry a cargo of heavy crude oil from Venezuela to Paulsboro, New Jersey. The dispute