Machine Learning
Data-driven modelling, emulation, pattern extraction, and statistical prediction.
Publications (10)
- Parameter investigation for urban surface‐energy balance: A large‐eddy simulation study Quarterly Journal of the Royal Meteorological Society (2026)
- Nowcasting street-level NO₂ concentrations using Gaussian processes Science of The Total Environment (2025)
- Impact of Data Assimilation Frequency and Observation Location in Thermal Effluent Modeling for Coastal Waters Earth and Space Science (2025)
- Applications of Data Assimilation and Parameter Calibration with Multi-Resolution Measurements of Seawater Temperature for Hydrodynamic Modeling of Shallow, Tidal Environments Conference (2025)
- Towards a digital twin of the urban atmosphere for decision support Conference (2025)
- RPCA-based techniques for pattern extraction, hotspot identification and signal correction using data from a dense network of low-cost NO2 sensors in London Science of The Total Environment (2024)
- Reconstructing wall shear stress from thermal wall imprints International Journal of Heat and Fluid Flow (2022)
- Machine Learning Emulation of Urban Land Surface Processes Journal of Advances in Modeling Earth Systems (2022)
- Urban neighbourhood classification and multi-scale heterogeneity analysis of Greater London Environment and Planning B: Urban Analytics and City Science (2022)
- Modelling of instantaneous emissions from diesel vehicles with a special focus on NOx: Insights from machine learning techniques Science of The Total Environment (2020)