Chaire franco-brésilienne Inria-UNESP (2023-2024)
Mostafa Adimy (DRACULA team) /Claudia Ferreira (UNESP) on nested immuno-epidemiology modeling. With the support of Sao Paulo French Consulate.
Inria International Chair Eduardo Uchoa Barboza (2022- 2026)
Eduardo Uchoa Barboza (Professor, Universidade Federal Fluminense) is awardee of the Inria International Chairs program:from 2022 to 2026 he will spend at least 12 months along the five years in REALOPT Inria team.
*new* ANR-FAPESP Project STAIM Stochastic and Deterministic Analysis of Irregular Models, with UNICAMP and ENSTA with the participation of Malica Tomasevic from MERGE Inria team.
*new* CAPES-COFECUB project NewDAFI “New drugs against invasive frungal infections: from its to optimized leads through machine learning” between Inria team CAPSID and Universidade Catolica de Brasilia
CAPES-COFECUB project between Inria team MORPHEME (Laure Blanc-Féraud) and Unicamp (Adilson Chinatto and Joao Romano) aims to study the application of sparse methods in antenna processing.
A CAPES-COFECUB project, AHIMSA between ERABLE and Instituto Carlos Chagas (ICC/Fiocruz), Curitiba, Brazil, was officially created on January 1st, 2020 for a duration of four years. The project intends to address the general problem of “Alternative approacH to Investigating and Modelling Sickness and heAlth”. AHIMSA is coordinated by Andréa Ávila from ICC and Marie-France Sagot from ERABLE.
Another CAPES-COFECUB project was selected, HIMMD (Hierarchical Graph-based Analysis of Image, Video andMultimedia Data) and gathers Inria Project-Team LINKMEDIA and Brazilian partners: Pontificia Universidade Catolica de Minas Gerais, Universidade Federal de Minas Gerais, Universidade de Campinas.
A CIMPA research school (Syzygies, from theory to application) organized by Inria (represented by Laurent Busé from the Project-Team AROMATH) and the UFPB (Universidade Federal da Paraiba, Brazil) took place in 2019 in João Pessoa. The aim of this research CIMPA school was to introduce graduate students and young researchers to some fundamental techniques and recent developments on syzygy-based methods.
The Green AI project has been led by Inria Chile and PUC-Rio since 2019 and has received a 1st funding in the framwork of the CLIMAT AmSud program as a project-test. Its goal is to conceive a systemic and multi-component approach to the problem of the Artificial Intelligence’s ecological impact. Thus, it focuses on cloud and mobile computing, transfer learning, model reuse, active learning and evolutionary computing, among others.
In 2020 researchers from LNCC under the coordination of Mariza Ferro joined the project, as well as researchers from other countries CMM (Centro de Modelamento Matematico de Chile), Universidad de la Republica (Uruguay), Universidad de Asuncion (Paraguay). The project was selected at the end of the 1st Call for projects CLIMAT AmSud program and will receive fundings from Inria, the ANID and Conacyt.
