About the chair
The Chair of Computational Mathematics of Fundación Deusto at University of Deusto, Bilbao (Basque Country, Spain) aims to develop an active research, training and outreach agenda in various aspects of Applied Mathematics. The Chair is committed with the development of ground-breaking research in the areas of Partial Differential Equations, Control Theory, Numerical Analysis and Scientific Computing; key tools for technological transfer and for the interaction of Mathematics with other scientific disciplines such as Biology, Engineering, Earth and Climate Sciences.
Enrique Zuazua
Enrique Zuazua (Eibar, Basque Country – Spain, 1961) holds an Alexander von Humboldt Professorship at the Friedrich–Alexander University (FAU), Erlangen (Germany). He is also the Director of the Chair of Computational Mathematics at Deusto Foundation, Universidad de Deusto (Bilbao, Basque Country-Spain) where he led the research team funded by the ERC Advanced Grant DyCoN project (2016-2022). He is also a Professor of Applied Mathematics since 2001 at the Department of Mathematics of the Autonomous University of Madrid where he holds a Strategic Chair.
ERC DyCon project
DyCon: Dynamic Control is an European project funded by the European Research Council – ERC (2016 – 2022), focused at making a breakthrough contribution in the broad area of Control of Partial Differential Equations (PDE) and their numerical approximation methods by addressing key unsolved issues appearing systematically in real-life applications. The field of PDEs, together with numerical approximation, simulation methods and control theory, has evolved significantly to address the industrial demands.
Our latest!
Control of neural transport for normalizing flows
A Two-Stage Numerical Approach for the Sparse Initial Source Identification of a Diffusion-Advection Equation
Gaussian Beam ansatz for finite difference wave equations
Long-time convergence of a nonlocal Burgers’ equation towards the local N-wave
Optimal design of sensors via geometric criteria
Noboru Sakamoto – Long time horizon control & Turnpike
Averaged dynamics and control for heat equations with random diffusion by Jon Asier Bárcena Petisco
Reaction-diffusion in Social and Biological Sciences: Dynamics and ResNet Control by Enrique Zuazua
Large-time asymptotics in Deep Learning by Borjan Geshkovski
CCM Seminar: Averaged dynamics and control for heat equations with random diffusion
Optimal Control and Design of Structures and Fluids by Enrique Zuazua
Enrique Zuazua – Seminar on PDE and Applied Mathematics, Brazil
Turnpike Control and Deep Learning by Enrique Zuazua at IITK
Turnpike Control and Deep Learning – Fields Institute 2nd Simposium on Machine Learning and Dynamical Systems
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