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.
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Optimal actuator design via Brunovsky’s normal form
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Slow decay and Turnpike for Infinite-horizon Hyperbolic LQ problems
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Jon Asier Bárcena-Petisco: Premio de Investigación Matemática Vicent Caselles 2021
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ERC DyCon Postdoctoral open position 2021-2022
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INdNAM workshop: “Analysis and Numerics of Design, Control and Inverse Problems”
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Enrique Zuazua: TOP TALENT de la CIENCIA
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Networks, Waves and Control
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StudOn AG Neural Differential Equations, Control and Machine Learning
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DyCon blog: Multilevel Selective Harmonic Modulation via Optimal Control
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