MSc projects on AI

Prediction and Visualization of Biodiversity Intactness Index (BII)

The Biodiversity Intactness Index (BII) measures the impact of human activities on biodiversity by assessing species abundance across ecosystems. Using datasets such as PREDICTS, this project will develop predictive models and interactive visualizations to explore biodiversity intactness across spatial and temporal scales. The work will combine environmental data modelling with geospatial visualization to support biodiversity monitoring and policy research. A tutorial is available at: https://adrianadepalma.github.io/BII_tutorial/

Prediction and Visualization of User Behavior in 360-degree Video

Understanding how users explore 360-degree video is essential for immersive media delivery and experience design. This project aims to develop models to predict user viewing behavior based on head-movement and viewport datasets. In addition, interactive visualization tools will be created to display attention heatmaps and scanpaths. The work will support research in VR analytics, adaptive streaming, and immersive storytelling. Example dataset is available at: https://gitlab.com/miguelfromeror/head-motion-prediction