Jordi

Jordi is an Associate Professor at the University of Valencia, specializing in interdisciplinary research at the intersection of artificial intelligence, environmental science, and education technology. His work focuses on applying machine learning to climate forecasting, vegetation mapping, and improving educational tools through AI-driven methodologies.

Research interests include AI applications in hurricane and medicane prediction, causal inference for environmental displacement, satellite data analysis for crop yield monitoring, and leveraging social media for climate studies. He also explores technology adoption in higher education, particularly using short videos and learning management systems.

His recent publications highlight advancements in GPT-4 for educational assessment tools, Gaussian processes for vegetation trait mapping, and physics-aware ML models for carbon flux analysis. Jordi has contributed to initiatives like enhancing Sentinel-2 data processing and developing hybrid predictive tools for extreme weather events.

His work emphasizes interdisciplinary collaboration, blending signal processing, remote sensing, and statistical learning to address global challenges in agriculture, climate resilience, and sustainable development.