Quercus Hernández, best thesis award from SEMNI

Dear colleagues,

last Friday, March 1st, the SEMNI Executive Committee held an extraordinary meeting to designate the thesis that will receive the SEMNI award in its 2023 edition and that, therefore, will compete as our representative for the ECCOMAS award.

As you know, SEMNI appoints a committee chaired by a member of the Executive Committee, a task that fell to Prof. Francisco Montans on this occasion, and formed by former recipients of the Juan Carlos Simó award for young researchers that SEMNI awards annually. This year the committee was made up of
– Emilio Martínez Pañeda, Oxford U.
– Marcos Latorre, U. P. Valencia
– Esther Reina, U. Sevilla
– María José Gómez, U. Zaragoza
– Xesús Nogueira, University of Coruña

The committee proposed to the executive committee that the prize should go to the thesis “Structure-preserving Deep Learning”, by Quercus Hernández. The thesis can be consulted from the following link, 

We would like to congratulate Quercus and wish him the best of luck in his candidacy for the ECCOMAS prize.

The prize, consisting of a diploma and a cheque for one thousand euros, will be awarded during the gala dinner of the Congress on Numerical Methods to be held in Aveiro, Portugal, next September.