Yesterday, our group member, Elías Cueto, was interviewed in Aragon Radio about computational surgery. You can listen to him from min 7:30 approx. here: http://podcasts.aragonradio2.com/2017/3/20170317_00_58_Agora_-_17_03_2017.mp3
Our group’s work on surgical simulation has appeared in the local newspaper “Heraldo de Aragón”. Please consult http://www.heraldo.es/noticias/suplementos/tercer-milenio/innovacion/2017/03/06/ensayar-una-cirugia-con-higado-muy-mano-1162212-2121030.html
The regional Government of Aragon has launched a call for applications under the ARAID program. It consists of full-time, tenured research positions in one of the research centers of Aragon (including the University of Zaragoza, of course).
You will find all the necessary information at https://www.araid.es/en/content/international-call-recruitment-researchers-2016
Three of our group’s papers are among the 1% most cited papers of their respective specialities.
These papers are:
- PGD-based computational vademecum for efficient design, optimization and control. F. Chinesta, A. Leygue, F. Bordeu, J.V. Aguado, E. Cueto, D. Gonzalez, I. Alfaro, A. Ammar, A. Huerta. Archives of Computational Methods in Engineering, 20(1), 31-59, 2013. [Download pdf of draft]
- A short review on model order reduction based on Proper Generalized Decomposition. F. Chinesta, P. Ladeveze, E. Cueto. Archives for Numerical Methods in Engineering, 18, 395-404, 2011. [Download pdf of draft]
- Recent Advances and New Challenges in the Use of the Proper Generalized Decomposition for Solving Multidimensional Models. Francisco Chinesta, Amine Ammar, Elias Cueto. Archives for Numerical Methods in Engineering, 17(4), 327-350, 2010. [download pdf of draft]
They are also among the few papers from our university in this list.
The First International Workshop on data-based Engineering, science and technology, DataBEST 2017 will be held in Nantes, France.
David González and Elías Cueto act as chairmen, together with Paco Chinesta and Emmanuelle Abisset-Chavanne, from EC Nantes.
More information at: http://databest2017.ec-nantes.fr
Our paper “A Manifold Learning Approach to Data-Driven Computational Elasticity and Inelasticity” has just been accepted for publication in Archives of Computational Methods in Engineering.
You can download the draft [here].
Finally the ESAFORM conference held at Nantes will have its proceedings ready! Look at the cover:
You will find a new page devoted to our DemoSIM project at http://amb.unizar.es/home/numerical-methods/demosim-project/
It is a project devoted to the study of numerical
techniques for the democratization of simulation in industry.
We actively participate in the organization of the DataBEST workshop to be held in Nantes, France, the next March 27-29th, 2017. See http://databest2017.ec-nantes.fr/ for more details. The aim is to meet together specialists on Big Data, machine learning, linear and non-linear model order reduction,
real-time simulation, …
See you in Nantes!