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!
Universal Approximation of Dynamical Systems by Semi-Autonomous Neural ODEs and Applications
Deep Neural Networks: Multi-Classification and Universal Approximation
Optimized classification with neural odes via separability
Approximate and Weighted Data Reconstruction Attack in Federated Learning
Stability and Convergence of a Randomized Model Predictive Control Strategy
Research at service of Society
CCM – How we did it on 2020!
Turnpike Control and Deep Learning by Enrique Zuazua
The interplay of Deep Learning and Control Theory by Borjan Geshkovski
DyCon blog: Averaged dynamics and control for heat equations with random diffusion
3rd BYMAT Session by Jon Asier Bárcena Petisco
The Fields Institute 2nd Symposium on Machine Learning and Dynamical Systems
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