Sensors

Air Quality Map

Made in the framework of the project PANSEN. A spatially continuous view of air pollution, produced by interpolating the network’s…

Air Quality Sensor AI-assisted Calibration Suite

A dedicated tool for turning raw low-cost sensor output into reference-comparable data. It ingests sensor and co-located reference measurements, applies…

Air Quality Station Map

A geographic view of the monitoring network. Every station appears at its actual location with its latest status and readings,…

Device Management

The administrative backbone of the network. A single interface for registering devices, tracking their configuration, location and health, and spotting…

ENSENSIA

The flagship air quality monitoring node and the commercial face of the work. A self-contained multi-pollutant station that measures, corrects…

ENSENSIA mini

The compact member of the ENSENSIA family — a smaller, lower-cost and easier-to-deploy unit built for dense placement and indoor…

Sensor System Dashboard

The main monitoring interface: live and historical pollutant readings, per-device time series, comparison between units, and export of the underlying…

Sensor System Studio of Experiments

An analysis environment sitting on top of the stored data. It lets the user define experiments over selected devices and…

Smart Air Quality 2xPlus

The current generation of the Smart Air Quality platform, extending measurement into forecasting. Alongside real-time monitoring, it produces short-term pollutant…

Smart Air Quality Plus

The intermediate generation of the platform: a consolidated monitoring system combining multi-pollutant low-cost sensing, automatic correction of the raw signals,…

XAI Suite and Evidence-based AI validation tools

A cross-domain workbench for building, explaining and — critically — validating AI models before anyone trusts them. It couples model…

Η καινοτομία σε πρώτο πλάνο στο περίπτερο του ΙΕΧΜΗ στο PatrasIQ! 🔬

Η καινοτομία σε πρώτο πλάνο στο περίπτερο του ΙΕΧΜΗ στο PatrasIQ! 🔬 Η εκθεσιακή μας παρουσία στην 9η Έκθεση Καινοτομίας…

26th Growth Forum, 18-19 November 2023

Presenting: “ENSENSIA: Air Quality Monitoring Station by FORTH/ICEHT”

Atmospheric nanoparticles, air quality and human health (NANOSOMs)

Constrained aerosol forcing for improved climate projections (FORCEs)

Project objectives To understand and reduce the long-standing uncertainty in anthropogenic aerosol radiative forcing, which is crucial in order to…

Disrupting Noxious Synergies of Indoor Air Pollutants and their Impact in Childhood Health and Wellbeing, using Advanced Intelligent Multisensing and Green Interventions (SynAir-G)

While the number and types of indoor air pollutants is rising, much is suspected but little is known about the…

Forecasting PM2.5 and NO2 Concentrations in Patras Using Low-Cost Sensors and Machine Learning

Ioannis D. Apostolopoulos; George Fouskas; Spyros N. Pandis

2025 IEEE International Smart Cities Conference (ISC2) 10.1109/ISC266238.2025.11293331

Impact of exposome on the course of lung diseases (REMEDIA)

REMEDIA stands as a European Human Exposome research project. Its unique methodology relies on using atmospheric simulation chambers, integrating multiple datasets and…

impRovEments in the simulation of aerosolclImate liNkages in earth system models: From glObal to Regional sCalEs (REINFORCE)

Description The main goal of the proposed work is to improve the state-of-play parameterizations of atmospheric aerosols in Earth System…

INNODAYS, 24-26 November 2023

The Foundation for Research and Technology- Hellas actively participated in the Innovation Exhibition “Innodays 2023” which was organized by the…

Monitoring of Indoor Air Quality in a Classroom Combining a Low-Cost Sensor System and Machine Learning

Ioannis D. Apostolopoulos, Eleni Dovrou, Silas Androulakis, Katerina Seitanidi, Maria P. Georgopoulou, Angeliki Matrali, Georgia Argyropoulou, Christos Kaltsonoudis, George Fouskas, Spyros N. Pandis

Chemosensors — Vol. 13, No. 4, pp. 148 10.3390/chemosensors13040148

Novel technologies to monitor, support and improve the quality of life of patients and other vulnerable user groups (ΠΟΙΟΤΗΤΑ ΖΩΗΣ)

PatrasIQ, 25-27 November 2023

FORTH/ICE-HT participated with an exhibition booth in FORTH/ICE-HT at the 8th Patras Innovation Quest (https://www.patrasiq.gr/), which took place on 25-27 November,…

Presentation at the 11th IEEE International Smart Cities Conference

On October 7th, 2025, I had the opportunity to present my work “Forecasting PM2.5 and NO2 concentrations in Patras using…

Smart Air Quality Monitoring – SmartAQM

Το έργο αποτελεί μια ολοκληρωμένη διεπιστημονική προσέγγιση στην ανάπτυξη νέων υλικών, μεθόδων και τεχνολογιών για την παρακολούθηση και την καταγραφή…

Sustainable Access to Atmospheric Research Facilities (ATMO-ACCESS)

ATMO-ACCESS provides physical, virtual and remote access services to more than 50 atmospheric facilities’ data and instruments worldwide through periodic…

Πανελλαδικό Δίκτυο Μέτρησης Αιωρούμενων Σωματιδίων με Αισθητήρες Χαμηλού Κόστους (PANSEN)

Air pollution is the greatest environmental risk to human health in Europe, as it is directly associated with various chronic…

Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning

Ioannis D. Apostolopoulos, Silas Androulakis, Panayiotis Kalkavouras, George Fouskas, Spyros N. Pandis

Sensors — Vol. 24, No. 13, pp. 4110 10.3390/s24134110

Evaluation of Air Quality in a Primary School Classroom During Wintertime

Eleni Dovrou, Christos Kaltsonoudis, Silas Androulakis, Ioannis Apostolopoulos, Andrea Simonati, Spyros N. Pandis

Indoor Air — Vol. 2024, No. 1 10.1155/ina/7888273

Monitoring the air quality inside a classroom using multiple low-cost sensors

C-STACC Seminar — Patras, Greece

Development and calibration of an Air Quality Monitoring (AQM) appliance based on low-cost electrochemical and laser sensors

C-STACC Seminar — Patras, Greece

Field Calibration of a Low-Cost Air Quality Monitoring Device in an Urban Background Site Using Machine Learning Models

Ioannis D. Apostolopoulos, George Fouskas, Spyros N. Pandis

Atmosphere — Vol. 14, No. 2, pp. 368 10.3390/atmos14020368

Industrial object and defect recognition utilizing multilevel feature extraction from industrial scenes with Deep Learning approach

Ioannis D. Apostolopoulos, Mpesiana A. Tzani

Journal of Ambient Intelligence and Humanized Computing — Vol. 14, No. 8, pp. 10263-10276 10.1007/s12652-021-03688-7

An Explainable Deep Learning Framework for Detecting and Localising Smoke and Fire Incidents: Evaluation of Grad-CAM++ and LIME

Ioannis D. Apostolopoulos, Ifigeneia Athanasoula, Mpesi Tzani, Peter P. Groumpos

Machine Learning and Knowledge Extraction — Vol. 4, No. 4, pp. 1124-1135 10.3390/make4040057

An IoT integrated Air Quality Monitoring device based on microcomputer technology and leading industry low-cost sensor solutions

Ioannis D. Apostolopoulos, George Fouskas, Spyros N Pandis

Fabulus 2022 10.1007/978-3-031-15101-9_9