Author

Vyron Christodoulou

Observed names: Christodoulou, V., Christodoulou, Vyron

Institutions: The Data Lab, University of Edinburgh

Observed institutions: University of Ulster, British Geological Survey, Natural Environment Research Council, The Data Lab, University of Edinburgh

ORCID: 0000-0003-3835-3891

Observed ORCID: 0000-0003-3835-3891

OpenAlex ID: A5046970093

Optimising Manufacturing Efficiency: A Data Analytics Solution for Machine Utilisation and Production Insights

2025 · Saleh Seyedzadeh, Vyron Christodoulou, et al. · Journal of Manufacturing and Materials Processing · 23

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A tool for Swarm satellite data analysis and anomaly detection

2019 · Vyron Christodoulou, Yaxin Bi, et al. · PLoS ONE · 12

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Automatic detection of Ionospheric Alfvén Resonances in magnetic spectrograms using U-net

2020 · Paolo Marangio, Vyron Christodoulou, et al. · Computers & Geosciences · 11

PyVOLCANS: A Python package to flexibly explore similarities and differences between volcanic systems

2021 · Pablo Tierz, Vyron Christodoulou, et al. · The Journal of Open Source Software · 7

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A Fuzzy Shape-Based Anomaly Detection and Its Application to Electromagnetic Data

2018 · Vyron Christodoulou, Yaxin Bi, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 5

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A combination of CUSUM-EWMA for Anomaly Detection in time series data

2015 · Vyron Christodoulou, Yaxin Bi · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · 5

Predicting incident dementia in community-dwelling older adults using primary and secondary care data from electronic health records

2024 · Konstantin Georgiev, Yiqing Wang, et al. · Brain Communications · 4

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A Fuzzy Inspired Approach to Seismic Anomaly Detection

2015 · Vyron Christodoulou, Yaxin Bi, et al. · Lecture notes in computer science · 3

Machine learning applied to pore-space geometry in sandstones: a tool for evaluating grain-scale similarity?

2021 · Alexander Hall, Martin Gillespie, et al. · Quarterly Journal of Engineering Geology and Hydrogeology · 2

IoT-Hub: New IoT Data-Platform for Virtual Research Environments

2018 · Rosa Filgueira Vicente, Rafael Ferreira da Silva, et al. · 1

Seismic Anomaly Detection Using Symbolic Representation Methods

2016 · Vyron Christodoulou, Yaxin Bi, et al. · Ulster University Research Portal (Ulster University) · 1

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PHAWM/workbench-platform: v1.0.1 - Zenodo Integration

2026 · Aristodemou, Marios, Christodoulou, Vyron, et al. · Zenodo (CERN European Organization for Nuclear Research)

Automatic Anomaly Detection for Swarm Observations

2021 · Bi, Y, Christodoulou, Vyron, et al. · Ulster University Research Portal (Ulster University)

Digital Rock Physics Analysis of Core Integrity using Deep Neural Networks and Computer Vision

2019 · Saswata Hier‐Majumder, Z. B. Alzayer, et al. · AGUFM

Automatic classification of Aurora-related tweets using machine learning methods

2019 · Vyron Christodoulou, Rosa Filgueira, et al. · International Conference on Geoinformatics and Data Analysis (ICGDA)

IoT-Hub: A new cloud data-platform for monitoring and analyzing IoT

2018 · Rosa Filgueira, Rafael Ferreira da Silva, et al. · AGUFM

A Tool of Data Analysis and Anomaly Detection for SWARM Satellite Electromagnetic Data

2018 · Vyron Christodoulou, Yaxin Bi, et al.

Detecting Seismic Anomalies in Electromagnetic Data Observed by SWARM Satellites Using Big Data Analytics

2017 · Yaxin Bi, Vyron Christodoulou, et al.

Symbolic Representation of Electromagnetic Data for Seismic Anomaly Detection

2016 · Vyron Christodoulou, Yaxin Bi, et al.

Seismic Anomaly Detection in Time Series Electromagnetic Data by the SWARM Satellites

2015 · Vyron Christodoulou, Yaxin Bi, et al. · Ulster University Research Portal (Ulster University)

Works count: 21

Citation count: 74

H-index: 5

I10-index: 3