Professor ~ Catedrático
Mechanical Engineering
Campus Rio Ebro.- Edificio Betancourt
Maria de Luna, s/n
50018-Zaragoza (Spain)
Tel:: +34 876 55 52 29
e-mail: gonzal (at) unizar.es
Education
Ph.D. Mathematics (Applied Mathematics) (Sept – 2004) Universidad de Zaragoza
Ph.D. Thesis: “Mixed approximations in natural neighbour Lagrange-Galerkin methods. Application to Solid and Fluid Mechanics.” Download an abstract in english, or full document in spanish.
Research Topics
- Computational Mechanics
- Meshless Methods. Partition of unity methods
- Numerical simulation of forming processes
- Proper Generalized Decomposition (PGD) methods
- No-Newtonian Fluid Simulations
- Data-Driven on Computational Mechanics
- Computational surgery
- Real-time simulation
- Scientific Machine Learning
- High-dimensionality Response Surfaces
- Manifold Learning
Publications
- Here you can find a complete list of my publications
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- ORCID number: 0000-0003-3003-5856
- Google Scholar: David González Profile
- SCOPUS ID: 56486916500
- ResearcherID: G-1536-2011
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- Technical Article in MathWorks
- Technical Article in MathWorks (in German)
Advised students
- Andres Galavis. Fluid-structure interaction from a Lagrangian point of view. (With Prof. E. Cueto [pdf])
- Fares El Halabi. Multiscale Approach Based on Parametrized Microscale Models Using Proper Generalized Decomposition. (With Prof. M. Doblaré [pdf])
- Carlos Quesada. Real-time simulation of surgery by Proper Generalized Decomposition techniques. (With Prof. I. Alfaro)
- Alberto Badías. Data assimilation procedures for mixed and augmented reality. (With Prof. I. Alfaro)
- Beatriz Moya. Physically-based machine learning of fluid behavior. (With Prof. E. Cueto)
- Alicia Tierz. Development of inmersive environments based on thermodynamics-informed Neural Networks.(Ongoing, with Prof. I. Alfaro)
- Lucas Tesán. Development of artificial intelligence techniques for the creation of digital human twins. (Ongoing, with Prof. E. Cueto)