Air Pollution

This section collects all the research done by our group regarding macro air pollution, aerobiological datasets, and data-driven methods for predicting dispersion.

2026 Gsvd Aerobiological Imputation

Category: AI & Data-Driven Models

Evaluation of Gappy Singular Value Decomposition for imputing aerobiological datasets compared with statistical methods.

Temporal Deep Learning Calibration of Low-Cost Air Quality Sensors

Category: AI & Data-Driven Models

LSTM-based temporal calibration of low-cost air-quality sensors for PM2.5, PM10, and NO2 using OxAria co-located reference data.

Sustainable Cities & Energy Systems

Category: Data-driven & Urban Sustainability

Urban Energy Efficiency Assessment under Uncertainty.