Air Quality Forecast Models

A Machine Learning High-Resolution PM 2.5 Forecast Model (SmartAQ 2+ ) Fusing Chemical Transport Model Predictions and Low-Cost Sensor Measurements

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

ACS ES&T Air 10.1021/acsestair.6c00113

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 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…

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 Ecosystem

The overall architecture that ties the individual pieces together: sensing nodes in the field, ingestion and storage, correction and modelling…

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…

Improving Real-time High-Resolution Estimates of PM2.5 Concentration Fields in Urban Areas by the SmartAQ+ System with Data Fusion and Machine Learning

Apostolopoulos I.D., Siouti E., Fouskas G., Pandis S.N.

Atmospheric Environment — 364 10.1016/j.atmosenv.2025.121665

Improving Real-time High-Resolution Estimations of PM2.5 Concentration Fields for the present time in Urban Areas by the SmartAQ+ System with Data Fusion and Machine Learning

C-STACC Seminar — Patras, Greece

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…

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…

Machine Learning in Air Quality: Overview of applications and a case study on the SmartAQ forecasting system

C-STACC Seminar — Patras, Greece

Prediction of the Concentration and Source Contributions of PM2.5 and Gas-Phase Pollutants in an Urban Area with the SmartAQ Forecasting System

Evangelia Siouti, Ksakousti Skyllakou, Ioannis Kioutsioukis, David Patoulias, Ioannis D. Apostolopoulos, George Fouskas, Spyros N. Pandis

Atmosphere — Vol. 15, No. 1, pp. 8 10.3390/atmos15010008