Team members
His scientific contributions are in computational hydraulics, including the development of new efficient numerical methods for shallow water equations, such as Large Time Step schemes or coupled 1D/2D models, and optimization and control in fluid simulations by means of adjoint-based methods. He is also well-versed in HPC techniques, being the developer of TRITON and SERGHEI, both open-source hydraulic simulation codes for large-scale problems. Both codes have gained recognition and adoption within government initiatives, demonstrating their practical value in hydraulic modeling and flood prediction.
His research interests are focused on the development of high performance mathematical and numerical models to predict geomorphological processes involving sediment transport, complex non-Newtonian behaviour and transient boundaries. He desings multi-CPU and GPU-accelerated Effcient Simulation Tools (EST) with direct application to sediment transport in rivers and coastal areas, highly-erosive floods, dam breachs, debris flows and muddy slurries, oil spills and lava flows.
Her activity is mainly focused on the development of numerical methods for the simulation of unsteady surface flows. With a background focused on High Performance Computing applied to 2D models for flood simulations, she is now researching new models for oil spills in coastal flows. Some of her work is oriented towards two-layer models to simulate both oil and water, while other research is carried out to analyze the importance of non-hydrostatic terms in representing these coastal flows.
His research activity focuses on the implementation of reduced-order models (ROM) based on the proper orthogonal decomposition (POD) method and with application to transport equations. An alternative ROM capable of predicting solutions beyond the training time has been developed, thus overcoming one of the major limitations of the POD method. He is also interested in the study oh the performance of high-order schemes, such as WENO schemes, via spectral analysis in the framework of iLES methods.
His research activity is focused on the formulation of 1D junctions of flows as inner boundary conditions in order to simulate large networks as efficiently as possible. This is applied both to shallow free-surface flows in hydrodynamic settings and to the human vascular system, with special attention to the venous system and the sonic flow transitions that may occur in it.
His activity is mainly related to the design and application of an Eulerian/Lagrangian debris transport model for flash flood prediction. The development of this model aims at simulating the transport of objects from small size, such as seeds or microplastics, to large bodies, such as cars or woods. He is also working on the implementation and application of modeling techniques to reduce the computational cost of numerical simulations.
External collaborators
Soil and Water. EEAD-CSIC, Zaragoza. His research interests are focused on the development of implicit numerical methods for the simulation of unsteady surface and groundwater flows, coupled with hydrological processes. He also works on the implementation of efficient linear matrix solvers as well as the application of novel mathematical techniques to hydraulic/hydrologic simulation.
Research interests focused around developing and applying computational models and High-Performance Computing (HPC) for coupled surface and subsurface ecohydrology and geomorphology. His work aims to develop, improve and apply a variety of multidimensional HPC-enabled solvers for environmental, hydrological, hydraulic and geomorphological applications, both for forecasting and process understanding. His work also touches HPC aspects such as performance-portability and novel aspects of numerical methods such as adaptive grid refinement and high order numerical methods for such flows. He is currently appointed as the Team Leader of the Simulation and Data Lab. Terrestrial Systems, Jülich Supercomputing Centre (Forschungszentrum Jülich, Germany).