Forecasting PM2.5 and NO2 Concentrations in Patras Using Low-Cost Sensors and Machine Learning Abstract: We present a machine learning methodology for forecasting next day’s PM2.5 and NO2 concentrations in Patras, Greece,…
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…
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…
INNODAYS, 24-26 November 2023 The Foundation for Research and Technology- Hellas actively participated in the Innovation Exhibition “Innodays 2023” which was organized…
26th Growth Forum, 18-19 November 2023 Presenting: “ENSENSIA: Air Quality Monitoring Station by FORTH/ICEHT”
Improving Real-time High-Resolution Estimates of PM2.5 Concentration Fields in Urban Areas by the SmartAQ+ System with Data Fusion and Machine Learning Abstract Monitoring PM2.5 (mass of particles with diameter less than 2.5 μm) concentrations is challenging due to the limited number…
Prediction of the concentration and source contributions of PM2.5 and gas-phase pollutants in an urban area with the SmartAQ forecasting system
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…
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…
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…
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…
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…
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…
Novel technologies to monitor, support and improve the quality of life of patients and other vulnerable user groups (ΠΟΙΟΤΗΤΑ ΖΩΗΣ)
Smart Air Quality Monitoring – SmartAQM Το έργο αποτελεί μια ολοκληρωμένη διεπιστημονική προσέγγιση στην ανάπτυξη νέων υλικών, μεθόδων και τεχνολογιών για την παρακολούθηση και…
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
Machine Learning in Air Quality: Overview of applications and a case study on the SmartAQ forecasting system
