Next week, March 7th at 15:00, our colleague Ditsuhi Iskandaryan will defend her Ph.D. dissertation titled “Study and Prediction of Air Quality in Smart Cities through Machine Learning Techniques Considering Spatiotemporal Components” supervised by Dr. Francisco Ramos and Dr. Sergio Trilles.

The dissertation brings the following novelty and contributions to the field: spatiotemporal forecast of the defined prediction target (nitrogen dioxide); incorporation and integration of air quality, meteorological and traffic data with their features/variables in spatiotemporal dimensions within a certain spatial extent and temporal interval; the consideration of coronavirus disease 2019 as an external key factor impacting air quality level; and provision of the code and data implemented to incentivize, as well as guarantee reproducibility.