Profile (CV) of the research teaching staff

González Ibáñez, David
Department: Departamento de Ingeniería Mecánica
Field: Mec. de Medios Contínuos y Teor. de Estructuras
Faculty: Escuela de Ingeniería y Arquitectura

Research Institute: INSTITUTO DE INVESTIGACIÓN EN INGENIERÍA DE ARAGÓN (I3A)
Group: T24_23R: Applied Mechanics and Bioengineering (AMB)

UNESCO codes
  • Mecánica de medios continuos

Number of 6-year periods of research productivity evaluation
  • CNEAI research evaluation. 01/01/20
  • CNEAI research evaluation. 01/01/14
  • CNEAI research evaluation. 01/01/12
Academic position: Cated. Universidad
Email: gonzal@unizar.es
Personal web page: http://amb.unizar.es/people/david-gonzalez/
ORCID number: 0000-0003-3003-5856

University degrees
  • Licenciado en Matemáticas Especialidad Matemática Aplicada. Universidad de Zaragoza. 2000

PhDs
  • Programa Oficial de Doctorado en Mecánica Computacional. Universidad de Zaragoza. 2004

Download curriculum in PDF format Go to personal website Go to ORCID page

 
             
As a review of my scientific career, during the early years, my research focused on developing new numerical approximation methods, with a particular emphasis on meshless methods, applying these techniques under a Lagrangian philosophy for the simulation of incompressible media. I worked on developing new high-order meshless methods based on the Maximum Entropy principle, as well as a novel technique for constructing B-Spline surfaces using meshless approximation schemes. I also actively participated in the development of a Separable Variable Representation technique for application in multiscale problems, solving Partial Differential Equations in high-dimensional spaces or with a high number of degrees of freedom. This groundwork led to the consolidation of the Proper Generalized Decomposition (PGD) technique, in which I have been deeply involved in its development, enabling its application in various fields such as real-time computational simulation, surgical simulators, and Augmented Reality, among others.
In recent years, my research has centered on developing techniques based on Artificial Intelligence, particularly data-driven computational mechanics and physics-informed graph neural networks. Enhancing the physical consistency in the learning process of next-generation neural networks ensures that the responses align with the thermodynamics of the evaluated system, enabling their application in real-time simulations, an area where my research group has extensive experience.
In addition to the publications listed in my CV, which can be consulted in various databases, I am a co-author of over 75 articles in high-impact journals (http://amb.unizar.es/people/david-gonzalez/david-gonzalez-publications/), (co)author of 6 books and 6 book chapters. I have also participated in nearly 100 international conferences, where we have disseminated our contributions and developments to the scientific community.
This scientific activity has been carried out through participation in various publicly and privately funded projects, both national and international. Many of these were competitive projects that involved the development of doctoral theses, which received the highest distinction of Outstanding Cum Laude. Specifically, I have co-directed 5 doctoral theses and am currently co-directing two more. Additionally, I have been actively involved in disseminating our results through multiple participations in the European Researchers’ Night, where we showcased our haptic simulators, interactive holograms, and other demonstrators developed over the years, always receiving great reception and satisfaction from attendees. I have also participated as a science communicator in several live programs on Aragón TV.


© University of Zaragoza | Versión 2.28.0
© Computing and Communications Service of the University of Zaragoza (Pedro Cerbuna 12, 50009 ZARAGOZA - SPAIN)