A5076536574- Maritime Navigation and Safety
- Data Management and Algorithms
- Maritime Transport Emissions and Efficiency
- Maritime Security and History
- Time Series Analysis and Forecasting
- Internet Traffic Analysis and Secure E-voting
- Underwater Vehicles and Communication Systems
- Maritime Ports and Logistics
- Privacy, Security, and Data Protection
- Infrared Target Detection Methodologies
- E-Government and Public Services
- Advanced Database Systems and Queries
- Data Quality and Management
- Marine and fisheries research
- Anomaly Detection Techniques and Applications
- Cloud Computing and Resource Management
- Travel-related health issues
- Data Stream Mining Techniques
- Oil Spill Detection and Mitigation
- IoT and Edge/Fog Computing
- Remote-Sensing Image Classification
- Cloud Data Security Solutions
- Target Tracking and Data Fusion in Sensor Networks
- Network Security and Intrusion Detection
- Context-Aware Activity Recognition Systems
University of the Aegean
2016-2025
Hellenic Centre for Marine Research
2020-2024
University of East Anglia
2022
Harokopio University of Athens
2015-2018
North Atlantic Treaty Organization
2016
Abstract To prevent the outbreak of Coronavirus disease (COVID-19), many countries around world went into lockdown and imposed unprecedented containment measures. These restrictions progressively produced changes to social behavior global mobility patterns, evidently disrupting economic activities. Here, using maritime traffic data collected via a network Automatic Identification System (AIS) receivers, we analyze effects that COVID-19 pandemic measures had on shipping industry, which...
Dyslexia is one of the most common learning disabilities experienced by children and adults. A large amount research currently being conducted in exploring benefits using Information & Communication Technologies as a platform for individuals especially with such difficulties. Given potential benefits, we focused on developing mobile application which could foster help improve some their fundamental skills, reading comprehension, orthographic coding, short-term memory mathematical problem...
This paper describes an affordable approach and prototype system that can enhance the accessibility of museum exhibits to visually impaired users. The supports navigation in exhibition halls tactual exploration exhibit replicas using touch-sensitive audio descriptions touch gestures on a mobile device. required technology includes 3D printed exhibits, attached sensors, Arduino boards, respective app. A preliminary usability evaluation with ten users (blind, blindfolded) revealed positive...
In this work we propose a novel spatial knowledge discovery pipeline capable of automatically unravelling the "roads sea" and maritime traffic patterns by analysing voluminous vessel tracking data, as collected through Automatic Identification System (AIS). We present computationally efficient highly accurate solution, based on MapReduce approach unsupervised learning methods, identifying spatiotemporal dynamics ship routes most crucially their characteristics, thus deriving "patterns life"...
Abstract Several modern day problems need to deal with large amounts of spatio-temporal data. As such, in order meet the application requirements, more and systems are adapting specificities those The most prominent case is perhaps data storage systems, that have developed a number functionalities efficiently support operations. This work motivated by question which better suited address needs industrial applications. In particular, conducted, set identify efficient store system terms...
Today, most of the maritime surveillance systems rely on automatic identification system (AIS), which is compulsory for vessels specific categories to carry. Anomaly detection typically refers problem finding patterns in data that do not conform expected behaviour. AIS switch-off such a pattern fact many turn off their transponder order hide whereabouts when travelling waters with frequent piracy attacks or potential illegal activity, thus deceiving either authorities other vessels....
Abstract To prevent the outbreak of Coronavirus disease (COVID-19), numerous countries around world went into lockdown and imposed unprecedented containment measures. These restrictions progressively produced changes to social behavior global mobility patterns, evidently disrupting economic activities. Here, using maritime traffic data, collected via a network Automatic Identification System (AIS) receivers, we analyze effects that COVID-19 pandemic measures had on shipping industry, which...
This paper presents a recently developed Operational Forecast Platform (OFP) for prevailing sea conditions at very important ports worldwide (Accu-Waves). The OFP produces reliable high-resolution predictions of wave characteristics in and around ocean ports. Its goal is to support safer navigation, predict possible port downtime, assist vessel approaching, enhance management towing services, bolster secure ship maneuvering busy the globe. Accu-Waves based on integrated, modelling over...
Seaports play a vital role in the global economy, as they operate connection corridors to all other modes of transport and engines growth for wider region. But ports today are faced with numerous unique challenges them remain competitive, significant investments required. In support greater transparency policy making, decisions regarding investment need be supported by data-driven intelligence. It is often an overlooked fact that seaports do not static over time; such spatial units evolve...
The explosions on 26 September 2022, which damaged the Nord Stream gas pipelines, have highlighted need and urgency of improving resilience critical undersea infrastructures (CUIs). Comprising pipelines power communication cables, these connect countries worldwide are for global economy stability. An attack targeting multiple such could potentially cause significant damage greatly affect various aspects daily life. Due to increasing number CUIs, existing underwater surveillance solutions, as...
Edge or Fog computing is a relatively new architectural deployment model, ideally fit for the unique requirements of Internet Things. This paper presents novel solution, which leverages characteristics edge security reasons. Machine learning models (specifically Support Vector Machines) are employed on cloud, to perform low footprint unsupervised and analysis sensor data anomaly detection purposes. To this end, proof concept system developed, capable detecting anomalies in real world vessel...
Well poisoning is an ancient war stratagem which was frequently used as a "scorched earth tactic". Today this tactic has been adapted by malicious attackers to the digital world and evolved into "stream poisoning", in corrupt or fallacious data injected lake, so integrity of information stored there. Numerous maritime surveillance systems nowadays rely on Automatic Identification System (AIS), compulsory for vessels over 299 Gross Tones, vessel tracking purposes. Ship AIS spoofing involves...
The task of accurately forecasting the trajectory a vessel, and in general moving object operating free space until its destination remains an open challenge. This paper addresses this problem by describing unsupervised data-driven framework for short extended horizon forecasts, from perspectives data mining machine learning. We propose algorithmic approach named "EnvClus*" that models efficiently historical vessel trajectories at global scale, forming mobility graph depicts most likely...
In this paper we motivate the need for real-time vessel behaviour classification and describe in detail our event-based approach, as implemented real-world industry strong maritime event detection service at MarineTraffic.com. A novel approach is presented of activity from data streams. The proposed solution splits trajectories into multiple overlapping segments distinguishes ones which a engaged trawling or longlining operation (e.g. fishing activity) other that simply underway its...
The ACM DEBS 2018 Grand Challenge is the eighth in a series of challenges which seek to provide common ground and evaluation criteria for competition aimed at both research industrial event-based systems. focus on application machine learning spatio-temporal streaming data. goal challenge make naval transportation industry more reliable by providing predictions vessels' destinations arrival times. This paper describes specifics data streams queries that define Challenge. It also benchmarking...
These days manufacturing and design teams continuously collaborate with colleagues across traditional office boundaries floors in an effort to meet growing demand competition at a global scale. An essential tool for this industry is computer-aided engineering (CAD/CAE) software, which, unfortunately, was never designed address complex collaboration requirements. Now more than ever, there need service-oriented collaborative CAD/CAE solutions, essentially moving away from the high performance...
This paper presents ongoing work on the design and prototyping of a pervasive, role-playing game for elementary school students. The takes place in designated space presented as an excavation site, which students become acquainted with number principal roles tasks taking archaeological fieldwork. educational goals are to introduce fundamental archaeology concepts inform them about historical background specific site discovered artifacts. apparatus consists mobile application (android), small...