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On May 25, 2025, Aristotle University of Thessaloniki (AUTH) welcomed the public for its annual “Open Doors” event, offering a behind-the-scenes look at the exciting research happening across the university.![]()
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The SEAWave group, based at the Center for Interdisciplinary Research and Innovation (CIRI) of AUTH (CIRI website), took part by inviting visitors into their lab to explore their work firsthand.![]()
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Guests had the opportunity to measure the electric field emitted by their mobile phones and compare it to emissions from everyday devices such as microwave ovens and WiFi routers—at the same distance. For those interested, SEAWave group also shared practical tips on how to reduce personal exposure to radiofrequency radiation from smartphones.![]()
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In addition, the SEAWave group showcased the measurement and monitoring equipment used for mapping environmental electric fields, and discussed the latest findings from the World Health Organization’s systematic reviews on the health effects of radiofrequency radiation.![]()
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It was a full and rewarding day for the entire team. The positive feedback, warm words of encouragement, and smiling faces made it all worthwhile.![]()
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"We’re already looking forward to the next time we can “open our doors” and share our research with the community!"
The first article from the Special Issue on Experimental and Numerical Dosimetry for 5G and 6G in Bioelectromagnetics journal has just been published and it comes from AUTH team! ![]()
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5G EMF Exposure at 3.6 GHz in Greece Using Data From Frequency-Selective Monitoring Sensors![]()
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onlinelibrary.wiley.com/doi/10.1002/bem.70008![]()
Over the last 2 years, 5G EMF levels at the 3.6 GHz frequency band increased due to network expansion but stayed well below ICNIRP and Greek reference levels. The 3.6 GHz band showed much higher maximum-to-median E-field variability than other frequency bands, driven by active antenna systems and traffic variations. Using 30-min averaging, as recommended by ICNIRP (2020), significantly reduced exposure variability at 3.6 GHz, aligning it with the one observed in frequency bands used by cellular networks of previous generations.
5G EMF Exposure at 3.6 GHz in Greece Using Data From Frequency‐Selective Monitoring Sensors
onlinelibrary.wiley.com
The introduction of 5G networks has raised public concerns about potential changes in environmental electromagnetic field (EMF) exposure. This study analyzes continuous monitoring data collected over....
"Predicting Electromagnetic Field Exposure Using AI Methods" is the title of the new SEAWave publication from AUTH and Télécom Paris. ![]()
The journal paper explores the application of Artificial Intelligence (AI) in predicting electromagnetic field (EMF) exposure levels in urban environments. ![]()
Machine Learning (ML) and Deep Learning (DL) models were developed to estimate the electric field (E, in V/m) at specific locations without requiring direct measurements. ![]()
The methodology involved collecting EMF data from Thessaloniki, Greece, using high-precision equipment, validating and refining publicly available datasets, and extracting key features using Geographic Information System (GIS) tools. ![]()
Essential input features included ![]()
- distances to the nearest base stations, ![]()
- their installation heights, ![]()
- classification of base stations regarding their emitted power,![]()
- number of obstructing buildings, ![]()
- built area density, and ![]()
- line-of-sight (LOS) conditions. ![]()
The results suggest that AI can serve as a reliable alternative for EMF exposure assessment, potentially reducing the need for costly and time-consuming field measurements while ensuring compliance with safety regulations.![]()
ieeexplore.ieee.org/document/10982239/authors#authors
ieeexplore.ieee.org
A new SEAWave publication from Ελληνική Επιτροπή Ατομικής Ενέργειας (EEAE) and IU teams.![]()
"Does personal relevance moderate communication effects? The example of risk communication about 5G-related electromagnetic fields." ![]()
Authorities responsible for risk communication provide precautionary advice to help citizens reduce personal exposure from electromagnetic fields (RF-EMF). However, previous research indicates that precautionary information can increase risk perception and decrease trust. In this study, the effects of precautionary information are investigated with a large general population sample, considering the introduction of 5G, and for the first time including personal relevance of the topic as a possible influencing factor.
open-research-europe.ec.europa.eu
Read the latest article version by Marie Eggeling-Böcker, Efthymios Karabetsos, Maria Christopoulou, Sarah C. Link, Ferdinand Abacioglu, Christoph Boehmert, at Open Research Europe.