Explores crowdsourcing high-resolution air quality sensing in urban areas through the OpenSense II project, covering impacts, system vision, deployments, datasets, and correlations with health data.
Explores advanced air quality modeling techniques to address health and climate issues, emphasizing the interconnectedness of air pollution and climate change.
