Juan Manuel Pérez García de Carellán

PhD Student

Juanma is currently pursuing his PhD at the Fluid Dynamic Technologies group of the University of Zaragoza (Spain), under the supervision of Dr. Mario Morales-Hernández and Prof. Pilar García-Navarro. He holds a BSc in Physics (2023) and a Master’s degree in Mathematical Modeling (2024), both from the University of Zaragoza. During his time as a research assistant with the group, he also obtained a Master’s degree in Applied Artificial Intelligence (2025) from the University of the Basque Country. His PhD research focuses on the integration of physical and machine learning models for the multi-scale representation of sub-grid features.

Juanma has specifically worked on applying deep learning techniques inspired by image super-resolution to enhance the spatial resolution of coarse-grid flood simulations. This approach leverages the efficiency of coarse-grid hydrodynamic models, while convolutional neural networks are used to recover fine-scale flow depth and velocity fields, incorporating high-resolution topographic features to improve accuracy. Juanma is focused on exploring the potential of combining physical modeling with data-driven strategies to achieve fast, high-resolution flood predictions suitable for real-time applications and emergency management.