Jose Segovia-Burillo

PhD Student

Jose is a PhD student in the Fluid Dynamic Technologies group at the University of Zaragoza, Spain, under the supervision of Prof. Sergio Martínez-Aranda and Prof. Mario Morales-Hernández. He has an academic background in Physics, with master’s studies in Mathematics Education and Water Resources Engineering.

He began his research career working on multidisciplinary projects, including tendon pathology ultrasound image analysis (UZqTool), machine learning-based erosion prediction (Impulso project), and the implementation of malleability code in the SERGHEI framework. He has collaborated with the Erosion, Soil and Water Evaluation team at Aula Dei–CSIC, the Jülich Supercomputing Centre, and the Barcelona Supercomputing Center (BSC). He is currently funded through an FPI scholarship from the national project PREDICTHIA (Computational tools and optimization strategies through Artificial Intelligence for the prediction of hydro-morphodynamic risks and Climate Change scenarios).

Jose is working on the implementation of non-hydrostatic pressure models for the Shallow Water Equations (SWE), exploring both elliptic and hyperbolic closure relations for pressure. He has also adapted and tested key fixes for the Roe-type scheme in the hyperbolic formulation.

He played a key role in a laboratory campaign focused on recording impact forces, velocities, and free surface fields of non-Newtonian fluids interacting with obstacles. He is experienced with measurement techniques such as Kinect-based surface tracking, Particle Image Velocimetry (PIV), Particle Tracking Velocimetry (PTV), and Ultrasonic Doppler velocimetry.

His ongoing research includes the integration of complex rheology and sediment transport to simulate more realistic and challenging scenarios, such as debris flows entering water bodies.